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Hey everyone,what are the differences in vortex dynamics between cuprates and MgB2? Can we use the same Hamiltonian to describe the dynamics of vortices in these two types?
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Dear peers,
I am trying to perform quantum conductance calculations using wannier90. I would like to use an LCR transport style for defective graphene nanoribbons using externally supplied Hamiltonians (tran_read_ht = TRUE). I have been able to generate lead and conduction region hamiltonians, seedname.htL and seedname.htC using bulk transport of these sections but how to construct the lead-conductor hamiltonian? Tutorials and examples are absent in the wannier90 package.
I will be grateful for your help.
Regards,
Yuvam
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Just a hint. Buttiker theory.
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Mach said [1], the principle of minimum xxxx, are they the natural purpose?
Born said in his "Physics in My Generation"[2], that while it is understandable that a particle chooses the straightest path to travel at a given moment, we cannot understand how it can quickly compare all possible motions to reach a point and pick the shortest path —— a question that makes one feels too metaphysical.
Speaking of the Hamiltonian principle and the minimum light path, Schrödinger recognizes the wonder of this problem [3]: Admittedly, the Hamilton principle does not say exactly that the mass point chooses the quickest way, but it does say something so similar - the analogy with the principle of the shortest travelling time of light is so close, that one was faced with a puzzle. It seemed as if Nature had realized one and the same law twice by entirely different means: first in the case of light, by means of a fairly obvious play of rays; and again in the case of the mass points, which was anything but obvious, unless somehow wave nature were to be attributed to them also. And this, it seemed impossible to do. Because the "mass points" on which the laws of mechanics had really been confirmed experimentally at that time were only the large, visible, sometimes very large bodies, the planets, for which a thing like "wave nature" appeared to be out of the question.
Feynman had a topic of minimum action in his "Lecture of Physics" [4]. It discusses how particle motion in optics, classical mechanics, and quantum mechanics can follow the shortest path. He argues that light "detects" the shortest path by phase superposition, but when a baffle with a slit is placed on the path, the light cannot check all the paths and therefore cannot calculate which path to take, and the phenomenon of diffraction of light occurs. Here, Feynman defined the path of light in two parts, before and after the diffraction occurs. If we take a single photon as an example, then before diffraction he considered that the photon travels along the normal geometric optical path, choosing the shortest path. After diffraction occurs, the photon loses its ability to "find" the shortest path and takes a different path to the diffraction screen, with different possibilities. This leads to the concept of probability amplitude in quantum mechanics.
To explain why light and particles can choose the "shortest path", the only logical point of view should be that light and particles do not look for the shortest path, but create it and define it, whether in flat or curved spacetime. Therefore, we should think about what light and particles must be based on, or what they must be, in order to be able to define the shortest paths directly through themselves in accordance with physics.
[1] Ernst Mach, Popular Scientific Lectures.
[2] Born, M. (1968). Physics in My Generation, Springer.
[3] Schrödinger, E. (1933). "The fundamental idea of wave mechanics. Nobel lecture " 12 (1933).
[4] Feynman, R. P. (2005). The Feynman Lectures on Physics(II), Chinese ed.
Keywords: light, Fermat principle of the shortest light time, Hamilton principle, Feynman path integral, Axiomatic
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How can the largest amount of work be accomplished in the shortest possible time?
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How find cases of Hamilton path for different types of prism and anti prism graph
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To find Hamiltonian paths in prism and antiprism graphs:
  1. Prism Graphs Yn: Always contain Hamiltonian paths for n≥3 because they are 3-regular and well-connected. Use standard algorithms like DFS or backtracking to find specific paths.
  2. Antiprism Graphs An: Also typically contain Hamiltonian paths due to their symmetric and connected structure. For larger n, algorithms like dynamic programming or heuristic methods can be used.
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The 2 theories have epistemologically ("how to get knowledge") Distinct starting points, i underly here epistemological, not methodological i.e on level of phosophy of knowledge
GR considers or tests on hypothesis that the properties of matter and radiation(mostly radiation i.e light) are given i.e constant speed or state equations and describes in details the time space that is the results of these, then motion emerges i.e geodesic etc
QM takes hypothesis that spacetime is given i.e symmetry of Hamiltonian and studies properties of matter or particles (and their motion). Properties of particles are
emergent i.e spin
According to the incompatibility thesis*, the two approaches yield knowledge from different hypotheses. There is no. Middle ground as this would destroy tge knowledge generating process
*I will elaborate soon on a essay
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There are many reasons making unification
Impractical
1,one is classical, the other not.
2, very different distance scales
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My exploration of the string Euler characteristic made me wonder if the Euler characteristic is related to energy conservation, then why not consider string thermodynamics. Not heat but free energy.
The Gibbs phase rule F = c - p + 2 for the string reads degree of freedom 1 = 1 component - 2 phases +2.
The rule is a tautology on one component because one degree of freedom implies two phases, and two phases implies one degree of freedom.
The string energy can only be defined under one degree of freedom.
So experimental evidence unequivocally shows two distinct energy phases: amplitude expansion and amplitude contraction.
Clearly the two phases are determined by the same closed system.
Note the 1 degree of freedom Lagrangian is E = T + U, not E = T - U
Phase I: When the deformed string is released, the baseline potential energy U is increases to U + U'(t). Energy conservation is the same as volume preservation, so the shape of the manifold minimizes surface area. This forces the excess potential energy U'(t) into kinetic action T(t) so that U + U'(t) > U + T(t).
Phase II When all excess potential energy is transferred to kinesis, the normal curvature of the smooth manifold is restored but with a surface that is moving. Then the kinetic energy T(t) runs down to zero. The base line potential energy cannot run down.
So the time-invariant standing wave has a covariant derivative which gives the string velocity, and therefore the invariant frequency, too.
This proves that the frequency and amplitude are both determined by the Gibbs free energy change which drives amplitude decay.
It is therefore proven that frequency and amplitude are dependent on the same closed potential system.
I have attached sketches of the string energy cycle at rest, deformed, expansion, and contraction.
If anyone would like to help write these equations better, I would appreciate it. My calculus has limits. I think someone could really do some interesting things here. The field is wide open for discovery and original research (in spite of what they tell me on Stack Exchange).
If you do write the string energy equations, go over and lay them on physics stack exchange for me.
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I just realized the figure above showing the sound envelop where amplitude expands and contracts is a pseudosphere! It has constant negative Gaussian curvature with a singularity on the peak at equilibrium.
This shows the evolution and involution of the surface motion on the wave. The wave is the potential energy field create by the internal stress of tension. The wave is always there but the surface can move.
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Introduction to Tensor Analysis and the Calculus of Moving Surfaces, Springer 2013 is a wonderful book that contains everything there is to know about the theory of string vibration under one degree of freedom.
We are forced to accept the string has only one degree of freedom because otherwise energy cannot be defined, and so physics does not apply to matter without defined energy.
I can understand the exact mathematics involved, but I am still a bit shaky on tensors and the critical energy equations involve covariant derivatives that I would like to understand better.
I want to distill the parts that are specific to the string perturbation.
The basic point I follow Grinfeld on is the string shape can be constructed without reference to a coordinate system. The domain is the string line which has coordinates on the real line. Then we show how it moves.
The surface of the string under energy conservation is a catenoid.
Using the coordinates of points on the catenoid surface parameterized by time we can understand how the surface of the potential energy surface moves after perturbation.
I invite anyone who understands the calculus of moving surfaces (there are other books) to discuss this with me.
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I am interested in the transfer of free potential energy to kinetic energy so I want the Jacobi operator to be irreversible.
Remember that we are talk about a Hamiltonian under closed trajectories near a stationary equilibrium point. This is justified for small perturbations close to an exact integrable solution on a short time interval.
So the Hamiltonian is expanded as a Taylor series to two terms: First is the shape and the second is how the shape moves. So the kinetic energy has to be defined on the exact shape.
That is, I think the Jacobi might be between the two terms in the Taylor series? Just guessing.
Say the baseline potential energy is U. Then on the deformed string we have U + U' which makes it seem that U is not invariant after all.
Except it is because U cannot increase so the excess potential energy U' is free energy that is driven into kinetic energy T in the closed system and cannot return.
So the Jacobi matrix irreversibly changes the coordinate systems from potential energy to kinetic energy.
There are two Lagrangian functions F and G under the chain rule.
F minimizes the string shape on the isoperimetric distance that forces kinesis and G minimizes kinetic energy.
Fand G are actions on an integral and they run simultaneously so their composition is given by the chain rule.
I think we know G because it involves the dissipation of T as fast as possible.
So the question is how do I write the Jacobi matrix that describes how the coordinates change from potential energy to kinesis.
Do you have an equation analogous to the Gibbs free energy equation but for a mechanical system that will show what happens to entropy?
Obviously, the mechanical action does not produce heat!
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The fact that mathematicians and physicists failed to investigate string vibration physics means the field is wide open for original research and new discoveries.
For instance, you won't find the Euler characteristic (or even the manifold) in the literature. The catenoid minimum surface of revolution is known but very obscure.
I am investigating homotopy and cohomology on musical instruments and their free language. I want to characterize the manifold of a musical instrument by the Euler characteristic, Betti number, Lefschetz number and genus.
I think I can get as far as deriving the Euler characteristic for one string under the Gauss-Bonnet theorem. I think it proves the string is Hamiltonian, but I can't formalize that. If the string is a Gauss-Bonnet standing wave then it must be Hamiltonian.
First, four statements I think are true:
1) Genus g is 0 because any cut disconnects the space.
2) The manifold is oriental because the normal vector of the sub manifold is oriental.
3) The manifold is Riemann because the string line is the fundamental form, so every point has coordinates on the real line.
4) Musical instruments and the string contract upon a point.
Under the formula for the Euler characteristic C = V - E + F (vertices minus edges plus faces) we can count two singular points, one edge, and one face. C = 2.
Under the formula C = 2 -2g for a closed surface, we have C = 2.
According to the Gauss-Bonnet theorem the geodesic curvature and the Guassian curvature of the string can be integrated to give a number which is 2 pi times the Euler characteristic.
We know that Gaussian curvature is 4 pi because it is the Gaussian product of the longitudinal curve (a cycloid) and the curve in transverse section, a circle. So we can say the singular endpoints are located at -pi and pi ( =2 pi) and the circle is 2 pi, too. So the product of the circle and the cycloidal curve is 4 pi. Then it must be true that the Euler characteristic is indeed 2.
Then there is the Euler characteristic of a finite CW complex which applies to music.
This generalizes the Euler characteristic for 2-dimensional complexes. It makes C into an alternating sum. The dimensionality of the string is 2n so the Euler characteristic is always 1. That result seems inconsistent. I am hoping it is wrong! Can you help?
So I have the idea that this by itself proves the string is Hamiltonian. It seems like the Euler characteristic captures the totality of the string.
I also think if the Euler characteristic of the string is 2, then musical instruments also have Euler characteristic 2, also. But can't formalize that.
I know the guitar is a polyhedron defined by simplicial complexes which have a common vertex. This defines a polyhedron so C = 2.
Is there a theorem about Euler characteristics in union and intersection, like the union of manifolds requires the same Euler characteristics?.
It seems to me that if you know about Euler characteristics and Betti numbers you could say something profound about string physics.
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The Euler characteristic of guitar is 2 because the 6 open string notes are vertices, the 5 intervals between the notes are edges, and the union of strings makes one surface. This shows the guitar is a geometric invariant.
I think that tablature (which is definitely in CW) has Euler characteristic 6 vertices, 5 edges, and two faces.
There are two faces because the music has a standard notation in pitch values (like a musical score) and then the canonic notation in guitar coordinates).
Note that the tablature is defined locally on guitar but the score is global.
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This is a simple proof the guitar is Hamiltonian. Then by deconstruction so is string vibration because the string is the smallest open set on guitar.
The time-independent Hamiltonian has the form H(p, q) = c and dH/dt = 0.
All I need is to define p and q.
So p will be the center of harmonic motion, and q will be a potential energy gradient that reads off the differential between any two points.
Consider the set of notes for the guitar tuning known as standard: E A D G B E.
The tuning naturally separates into two vectors in this way: Indexing the tuning notes by counting up from the low E the pitch values are equivalent to p: 0 5 10 15 19 24.
Now taking the intervals between the notes we have a second vector q: 0 5 5 5 5 4.
It is important to notice that tuning vectors p and q are equal, opposite, and inverse, which is expected since the orbit and center have this relation in the Hamiltonian.
For instance, p is the summation of q and q is the differential of p. The points in p and the intervals in q together make a unit interval in R.
Most important, p = 1/q means the tuning is the identity of the guitar. If you know the tuning, you know everything (all movement). You can learn guitar without learning anything but the tuning.
The proof the vectors are Hamiltonian is this, p is the center of motion in R6, and q is the gradient of the potential field surface in R5 where every vibrational state is presented by a single point.
The coordinates of notes on guitar chord charts given by the gradient function
form a union as a smooth atlas.
Therefore, it must be true the guitar is Hamiltonian. How else could the symplectic manifold be smooth?
Physicists and mathematicians have no choice but to accept that one degree of freedom is better than two. The fact that they cannot see it implies an illness of the public mind that cannot think straight about classical mechanics.
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Also, this is a normed metric space because of the octave.
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A minion is a low-level official protecting a bureaucracy form challengers.
A Kuhnian minion (after Thomas Kuhn's Structure of Scientific Revolutions) is a low-power scientist who dismisses any challenge to existing paradigm.
A paradigm is a truth structure that partitions scientific statement as true to the paradigm or false.
Recently, I posted a question on Physics Stack Exchange that serves as a summary of the elastic string paradigm. My question was: “Is it possible there can be a non-Fourier model of string vibration? Is there an exact solution?”
To explain, I asked if they knew the Hamiltonian equation for the string vibration. They did not agree it must exist. I pointed out there are problems with the elastic model of vibration with its two degrees of freedom and unsolvable equations of motion can only be approximated by numerical methods. I said elasticity makes superposition the 4th Newtonian law. How can a string vibrate in an infinite number of modes without violating energy conservation?
Here are some comments I got in response:
“What does string is not Fourier mean? – Qmechanic
“ ‘String modes cannot superimpose!’ Yet, empirically, they do.” – John Doty
“ A string has an infinite number of degrees of freedom, since it can be modeled as a continuous medium. If you manage to force only the first harmonic, the dynamics of the system only involve the first harmonic and it’s a standing wave: this solution does depend on time, being (time dependence in the amplitude of the sine). No 4th Newton’s law. I didn’t get the question about Hamilton equation.
“What do you mean with ‘archaic model’? Can I ask you what’s your background that makes you do this sentence? Physics, Math, Engineering? You postulate nothing here. You have continuum mechanics here. You have PDEs under the assumption of continuum only. You have exact solutions in simple problems, you have numerical methods approximating and solving exact equations. And trust me: this is how the branch of physics used in many engineering fields, from mechanical, to civil, to aerospace engineering.” – basics
I want to show the rigid versus elastic dichotomy goes back to the calculus wars. Quoting here from Euler and Modern Science, published by the Mathematical Association of America:
"We now turn to the most famous disagreement between Euler and d’Alembert … over the particular problem of the theory of elasticity concerning a string whose transverse vibrations are expressed through second-order partial differential equations of a hyperbolic type later called the wave equation. The problem had long been of interest to mathematicians. The first approach worthy of note was proposed by B. Taylor, … A decisive step forward was made by d’Alembert in … the differential equation for the vibrations, its general solution in the form of two “arbitrary functions” arrived at by means original with d’Alembert, and a method of determining these functions from any prescribed initial and boundary conditions.”
[Editorial Note: The boundary conditions were taken to be the string endpoints. The use of the word hyperbolic is, I believe, a clear reference to Taylor’s string. A string with constant curvature can only have one mathematic form, which is the cycloid, which is defined by the hyperbolic cosh x function. The cosh x function is the only class of solutions that are allowed if the string cannot elongate. The Taylor/Euler-d’Alembert dispute whether the string is trigonometric or hyperbolic.
Continuing the quote from Euler and Modern Science:
"The most crucial issue dividing d’Alembert and Euler in connection with the vibrating string problem was the compass of the class of functions admissible as solutions of the wave equation, and the boundary problems of mathematical physics generally, D’Alembert regarded it as essential that the admissible initial conditions obey stringent restrictions or, more explicitly, that the functions giving the initial shape and speed of the string should over the whole length of the string be representable by a single analytical expression … and furthermore be twice continuously differentiable (in our terminology). He considered the method invalid otherwise.
"However, Euler was of a different opinion … maintaining that for the purposes of physics it is essential to relax these restrictions: the class of admissible functions or, equivalently, curves should include any curve that one might imagine traced out by a “free motion of the hand”…Although in such cases the analytic method is inapplicable, Euler proposed a geometric construction for obtain the shape of the string at any instant. …
Bernoulli proposed finding a solution by the method of superimposition of simple trigonometric functions, i.e. using trigonometric series, or, as we would now say, Fourier series. Although Daniel Bernoulli’s idea was extremely fruitful—in other hands--, he proved unable to develop it further.
Another example is Euler's manifold of the musical key and pitch values as a torus. To be fair, Euler did not assert the torus but only drew a network show the Key and Pitch can move independently. This was before Mobius's classification theorem.
My point is it should be clear the musical key and pitch do not have different centers of harmonic motion. But in my experience, the minions will not allow Euler to be challenged by someone like me. Never mind Euler's theory of music was crackpot!
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Physic Stack Exchange is not peer review, it is sneer review. I show then their answers are not correct but I am shut out.
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In trigonometry we know that frequency and amplitude are independent because they have independent variables.
Then frequency and amplitude do not have the same equation of motion.
But according to Newtonian determinism, all of the motion of a system is determined an equation that depends only on the initial state of the string, being the totality of points on string and their velocities. The initial velocity is zero.
In a closed system, all of the movement must include both frequency and amplitude. That is, frequency and amplitude have the same equation of motion.
On the elastic string, the false assumption the string wave is trigonometric by itself implies amplitude and frequency have independent equations. Indeed, in the literature when mathematicians and physicists want the standing wave to stand down, they just add another arbitrary real-valued function. The frequency and amplitude are parameterized by sine wave and exponential functions, and each has its own time variable. Frequency and amplitude do not map on to the same interval of time.
But under one degree of freedom the standing wave never stands down because it is a surface defined by the potential energy. The surface being precisely those lines of motion along which energy is conserved.
So please tell why are two equations better than one? Why are two degrees of freedom better than one? Some even say the string has infinite degrees of freedom as if the string is not subject holonomic constraint.
You guy’s think the frequency is a velocity, but it's not. Frequency is a potential. Constant velocity and constant potential are both measure by a time unit.
Apparently, physicists and mathematicians think the velocity of the string is constant right up to the point in time when the string stops moving. Because the frequency is constant. That is, you think dv/dt = df/dt = 0. Then you write a partial differential equation that has the form of a sine wave. But your equation in the form u(x. t) is parameterized by time but contain coefficients that are not determined by the initial condition of the string. And it is not continuous on the lower limit.
That is to say the trigonometric string cannot map onto the string at rest. The trigonomtric string has no natural vector field.
Furthermore, the assumption of a continuous trig function implies that you are not required to have a lower semi-continuous boundary, without which it is not possible to formulate the law of string motion in terms of a minimum principle. (See Critical Point Theory by Mawhin and Willem)
There is a stumbling block here because it may seem that it is obvious that amplitude is dependent on time, since it occupies an interval of time. In fact, it is independent of time because decay always consumes the same amount of time regardless of amplitude magnitude.
the rate of amplitude decay da/dt2 = 0 is constant just like the frequency. They have the same Hamiltonian minimizing functions.
The equation da/dt2 = 0 is possible mathematically if the external derivative of amplitude decay is a tautochrone formed by the cycloidal involution of the cycloidal string manifold.
On a tautochrone, a rolling ball always arrives at the bottom of the curve at the same time regardless of how high the ball in dropped from.
This shows that frequency and amplitude are subject to the same holonomic restraint imposed by energy conservation.
When you give up your false assumption frequency is a velocity and change to frequency is a potential, you should see energy conservation is equivalent to volume preservation according to the principle of Liouville integration.
In attached diagrams I show the string manifold and amplitude decay manifold are both minimal surfaces of revolution and they have the same submanifold in Liouville integration except that amplitude is the involution of the cycloid at constant volume. Both manifolds uniform rectilinear motion. The frequency and amplitude run on the same time interval and clearly are not independent.
The trigonometric law of frequency/amplitude independence is not a natural Newtonian law, it is just an illusion that results from the assumption that frequency itself is sinusoidal.
But potential energy is a real number. You guys are just assuming frequency is real (so continuity seems to demand a trigonometric form).
Finally, if the moving string keeps moving until external force stops it, what force stops the string? Clearly not gravity, friction, or viscosity.
The answer is that the motion of the string is quasi-periodic meaning that perturbation involves only the loss of kinetic energy. Potential and kinetic energy do not alternate like a pendulum. When the string is deformed, the potential increases, but quickly the excess goes to kinetic energy and never returns to potential energy. Amplitude decay is simply the loss of kinetic energy doing work against the inertial mass of the string. Since it must be true that potential and kinetic energy have the same Hamiltonian equation, they cannot be independent.
Fig 1 The string manifold and amplitude decay manifold have the same submanifold
Fig 2 Amplitude Decay Manifold
Fig 3 Path of a Cycloidal Pendulum
Fig 4 Amplitude decay is the cycloidal involution of the Cycloidal Manifold.
Fig 5 Volume-preserving Liouville Integration
Fig 6 Constructing a cycloid geometrically using a horocycle give the string a constant radius of curvature.
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If the equation of motion is a sine wave, then of course amplitude and frequency are independent of each other. It's built into your assumption of an arbitrary real-valued function.
You have to use classic mechanics to answer the question formally. You can also use logical deduction.
I mean the frequency and amplitude decay have exactly the same time interval.
How does your sine wave run down?
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I'm excited to share my latest research, where I build upon the groundbreaking work of Professors James Maynard and Larry Guth on prime counting in almost-short intervals. In this paper, I introduce an enhanced Hamiltonian operator that extends their framework, deepening the connections between quantum mechanics and number theory. My analysis suggests that this operator plays a crucial role in linking these fields and provides strong evidence supporting the Lindelöf Hypothesis—a key component in the broader effort to solve the famous Riemann Hypothesis. This work could be a significant step toward unraveling one of the greatest mysteries in mathematics.
I would greatly appreciate any feedback or comments from the community on this contribution. Your insights and expertise would be invaluable in refining and further developing these ideas.
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Usualy only matrices or operators
Have eigenvalues.
Functions as riemann zeta have roots.
Primes and energy have no comparison.
I think you have to decide qm or no.
Theory, not both
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Please see the attached document for a summary of my proof of rigidity.
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Of course, things that bend always elongate if they have the Pythagorean metric. But we are taking about the string in the Lagrangian configuration or Hamiltonian phase space which is a 2-dimenional subspace of euclidean space formed by the potential energy surface of the string.
Oh, by the way anyone know how to introduce potential energy to the elastic string? Its impossible according to V.I Arnold Mathematical Methods in Classical Mechanics. Checkout what he says about the theory of oscillation with one degree of freedom.
It simply cannot be true the string does not conserve energy! You cannot prove it does not. But that is your challenge if you want to defend physics and mathematics on the string theory. Prove the string is not symplectic!
And if the string can only vibrate in one mode, what are you going to do with strings in higher dimension? If higher dimensional strings are not isomorphic on the natural string in Euclidean space, then don't you guys need to get another name for your theory? :)
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Paradox 1 - The Laws of Physics Invalidate Themselves, When They Enter the Singularity Controlled by Themselves.
Paradox 2 - The Collapse of Matter Caused by the Law of Gravity Will Eventually Destroy the Law of Gravity.
The laws of physics dominate the structure and behavior of matter. Different levels of material structure correspond to different laws of physics. According to reductionism, when we require the structure of matter to be reduced, the corresponding laws of physics are also reduced. Different levels of physical laws correspond to different physical equations, many of which have singularities. Higher level equations may enter singularities when forced by strong external conditions, pressure, temperature, etc., resulting in phase transitions such as lattice and magnetic properties being destroyed. Essentially the higher level physics equations have failed and entered the lower level physics equations. Obviously there should exist a lowest level physics equation which cannot be reduced further, it would be the last line of defense after all the higher level equations have failed and it is not allowed to enter the singularity. This equation is the ultimate equation. The equation corresponding to the Hawking-Penrose spacetime singularity [1] should be such an equation.
We can think of the physical equations as a description of a dynamical system because they are all direct or indirect expressions of energy-momentum quantities, and we have no evidence that it is possible to completely detach any physical parameter, macroscopic or microscopic, from the Lagrangian and Hamiltonian.
Gravitational collapse causes black holes, which have singularities [2]. What characterizes a singularity? Any finite parameter before entering a spacetime singularity becomes infinite after entering the singularity. Information becomes infinite, energy-momentum becomes infinite, but all material properties disappears completely. A dynamical equation, transitioning from finite to infinite, is impossible because there is no infinite source of dynamics, and also the Uncertainty Principle would prevent this singularity from being achieved*. Therefore, while there must be a singularity according to the Singularity Principle, this singularity must be inaccessible, or will not enter. Before entering this singularity, a sufficiently long period of time must have elapsed, waiting for the conditions that would destroy it, such as the collision of two black holes.
Most of these singularities, however, can usually be resolved by pointing out that the equations are missing some factor, or noting the physical impossibility of ever reaching the singularity point. In other words, they are probably not 'real'.” [3] We believe this statement is correct. Nature will not destroy by itself the causality it has established.
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Notes
* According to the uncertainty principle, finite energy and momentum cannot be concentrated at a single point in space-time.
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References
[1] Hawking, S. (1966). "Singularities and the geometry of spacetime." The European Physical Journal H 39(4): 413-503.
[2] Hawking, S. W. and R. Penrose (1970). "The singularities of gravitational collapse and cosmology." Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences 314(1519): 529-548.
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补充 2023-1-14
Structural Logic Paradox
Russell once wrote a letter to Ludwig Wittgenstein while visiting China (1920 - 1921) in which he said "I am living in a Chinese house built around a courtyard *......" [1]. The phrase would probably mean to the West, "I live in a house built around the back of a yard." Russell was a logician, but there is clearly a logical problem with this expression, since the yard is determined by the house built, not vice versa. The same expression is reflected in a very famous poem "A Moonlit Night On The Spring River" from the Tang Dynasty (618BC - 907BC) in China. One of the lines is: "We do not know tonight for whom she sheds her ray, But hear the river say to its water adieu." The problem here is that the river exists because of the water, and without the water there would be no river. Therefore, there would be no logic of the river saying goodbye to its water. There are, I believe, many more examples of this kind, and perhaps we can reduce these problems to a structural logic pradox †.
Ignoring the above logical problems will not have any effect on literature, but it should become a serious issue in physics. The biggest obstacle in current physics is that we do not know the structure of elementary particles and black holes. Renormalization is an effective technique, but offers an alternative result that masks the internal structure and can only be considered a stopgap tool. Hawking and Penrose proved the Singularity Theorem, but no clear view has been developed on how to treat singularities. It seems to us that this scenario is the same problem as the structural logic described above. Without black holes (and perhaps elementary particles) there would be no singularities, and (virtual) singularities accompany black holes. Since there is a black hole and there is a singularity, how does a black hole not collapse today because of a singularity, will collapse tomorrow because of the same singularity? Do yards make houses disappear? Does a river make water disappear? This is the realistic explanation of the "paradox" in the subtitle of this question. The laws of physics do not destroy themselves.
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* One of the typical architectural patterns in Beijing, China, is the "quadrangle", which is usually a square open space with houses built along the perimeter, and when the houses are built, a courtyard is formed in the center. Thus, before the houses were built, it was the field, not the courtyard. The yard must have been formed after the house was built, even though that center open space did not substantially change before or after the building, but the concept changed.
† I hope some logician or philosopher will point out the impropriety.
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References
[1] Monk, R. (1990). Ludwig Wittgenstein: the duty of genius. London: J. Cape. Morgan, G. (Chinese version @2011)
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Agree. It is a math problem not a real problem in the universe. Anything infinity destroys all conservations in the universe. The center of a black hole should be totally hollow instead of a singularity because of angular momentum have zero probability to be zero. When any matter has angular momentum, it cannot settle still in a point.
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The notion in mathemathics is clear for non-Hermitian Hamiltonian, but how to understand in physics?
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在物理学中,哈密顿量是用来描述物理系统总能量的算符,特别是在量子力学中。一个系统的时间演化由薛定谔方程描述,而哈密顿量在这个方程中扮演着核心角色。厄米算符(Hermitian operator)是其共轭转置等于自身的算符,即 \( H = H^\dagger \)。厄米算符的一个重要特性是它们拥有实数本征值,并且它们的本征向量构成一组完备的正交基。
当哈密顿量是非厄米的(Non-Hermitian),即 \( H \neq H^\dagger \) 时,情况就变得复杂了。非厄米哈密顿量可能拥有复数本征值,并且其本征向量可能不正交。在这种情况下,系统的物理解释和数学处理都变得更加困难。
对于非厄米哈密顿量,我们可以讨论左特征向量和右特征向量:
1. **右特征向量**:这是最常见的特征向量,定义为 \( H\psi = \lambda \psi \),其中 \( H \) 是哈密顿量,\( \psi \) 是右特征向量,\( \lambda \) 是对应的本征值。
2. **左特征向量**:左特征向量是通过 \( \psi^\dagger H = \lambda \psi^\dagger \) 定义的,其中 \( \psi^\dagger \) 是 \( \psi \) 的共轭转置。对于厄米算符,左特征向量与右特征向量是成比例的,但对于非厄米算符,它们可能是不同的。
在非厄米系统中,由于算符可能不具有自伴性,系统的物理量(如能量)可能不再是守恒的,这违反了物理定律中的守恒原理。然而,在某些情况下,即使哈密顿量是非厄米的,系统的物理行为仍然可以通过PT对称性(Parity-Time对称性)来获得有意义的解释。PT对称性指的是系统在空间反演(P)和时间反演(T)联合作用下的对称性。如果一个非厄米哈密顿量具有PT对称性,那么它可以拥有实数本征值,并且其物理行为可以是合理的。
在处理非厄米系统时,物理学家和数学家通常会寻找额外的结构或对称性来帮助解释和理解系统的行为。例如,通过研究系统的PT对称性,或者通过构造特殊的非厄米算符,使其在某种意义上“有效”是厄米的,从而保持物理量的实值性和守恒性。
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It may sound a bit awkward, but is there a Berry curvature in non parameter-dependent Hamiltonians? For example, consider the Bloch problem. There is a dual perspective when working in Bloch Solids, depending on the choice of eigenvectors: one may choose to work with the periodic cell functions unk (leading to a k-dependent Hamiltonian, H(k)) or choose the eigenstates of the translation operator as well (leading to a non k-dependent Hamiltonian H).
-Why is someone obliged to use unk so that Berry Physics comes into play?
-What about choosing the "normal" k-dependent eigenstates of the translation op.?
We know that in this case, H would not depend on any parameters, but does this necessarily mean that the Berry curvature vanishes? If the answer is negative, then, the extended Berry curvature formula (the one containing the summation over the states) becomes indeed problematic, simply because \nabla_k H=0. If the answer is positive, then, again, the initial definition is problematic, because it only involves differentiations of the eigenstates, which are obviously non-zero.
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Thanks very much for your answer, dear Li-Chen!
The problem with this, is not primarily the existence of Berry Curvature in a non-parameter dependent H, because, as we know, even if H is indeed indep. from parameters, the original curl equation still holds: BerryCurv=nabla_{R} \times \vec{A}, where \vec{A} is the Berry connection (given that the eigenvectors, of course do depend on parameters).
The problem, (and what my question is all about) lies in the other, the "extended" Berry formula, that involves the well-known summation over the states (bands) and that contains the critical \nabla_{R} H terms (which results to zero if H does not readily depends on parameters). So , there is a disagreement between the two Berry formulas and i cannot understand why..
Thank you!
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The energy operator ih∂/∂t and the momentum operator ihΔ or ih∂/∂x play a crucial role in the derivation of the Schrödinger equation, the Klein-Gordon equation, the Dirac equation, and other physics arguments.
The energy and momentum operators are not differential operators in the general sense; they do play a role in the derivation of the equations for the definition of energy and momentum.
However, we do not find any reasonable arguments or justifications for the use of such operators, and even their meaning can only be speculated from their names. It is used without explanation in textbooks.
The clues we found are:
1) In the literature [ Brown, L. M., A. Pais and B. Poppard (1995). Twentieth Centure Physics (I), Science Press.], "In March 1926, Schrödinger noticed that replacing the classical Hamiltonian function with a quantum mechanical operator, i.e., replacing the momentum p by a partial differentiation of h/2πi with position coordinates q and acting on the wave function, one also obtains the wave equation."
2) Gordon considered that the energy and momentum operators are the same in relativity and in non-relativism and therefore used in his relativistic wave equation (Gordon 1926).
(3) Dirac also used the energy and momentum operators in the relativistic equations with electron spins (Dirac 1928). Dirac called it the "Schrödinger representation", a self-adjoint differential operator or Hermitian operator (Dick 2012). (D).
Our questions are:
Why can this be used? Why is it possible to represent energy by time differential for wave functions and momentum by spatial differential for wave functions? Has this been historically argued or not?
Keywords: quantum mechanics, quantum field theory, quantum mechanical operators, energy operators, momentum operators, Schrödinger equation, Dirac equation.
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Yesterday, while replying Edgar Paternina to a discussion involving complex numbers, I revisited this question thread and another related thread [1], and tried to find the article you suggested [2]. This is obviously a famous article, because at the same time I found the Chinese version. I have no recollection of having read it in the past, but I seem to remember the analogy of the ‘bird’ and the ‘frog’. Now I have read it, and benefited from it much. The article talked about mathematicians' understanding of i(√-1), and how i in physics is used in the Schrödinger equation and in the Weyl's gauge field theory (I was under the impression that i(√-1) was added by later peoples, it wasn't used initially). This led me to a further understanding of complex numbers. They are not numbers ‘constructed’ by mathematicians, but naturally existing numbers. Without them, there would be no modern physics. In mathematical concepts, it might be more appropriate to have not only Hamiltonian quaternions, but also N-tuples (N → ∞). What transformations are hidden here is not known.
Best Regards,
Chian Fan
[2] Dyson, F. J. (2010). "Birds and frogs in mathematics and physics". Physics-Uspekhi, 53(8), 825. https://paper.sciencenet.cn/htmlnews/2011/8/251096-4.shtm;
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I am currently using CASTEP version 22.11, and I encounter the following error when running calculations with spin-orbit coupling:
Error with dsytrf in nlpot_prepare_precon_ks
Current trace stack:
nlpot_prepare_precon_ks
hamiltonian_diagonalise_ks
electronic_approx_minimisation
castep_calc_approx_wvfn
check_elec_ground_state
castep
I am certain that I have correctly set the parameters in the .param file, including setting SPIN_TREATMENT: vector. I have encountered the same issue both on my desktop and high-performance cluster. Could anyone suggest what might be causing this error? Thank you very much in advance.
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This looks like you're trying to do a spin-orbit calculation with ultrasoft pseudopotentials, which is not currently supported by CASTEP.
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“According to general theory of relativity, gravitation is not a force but a property of spacetime geometry. A test particle and light move in response to the geometry of the spacetime.”[1] Einstein's interpretation of gravity is purely geometrical, where even a free point particle without any properties and any interactions, moves in a curved spacetime along geodesics, but which are generated by the energy tensor Tµν [2]. Why isn't gravity generated directly by Tµν, but must take a circuitous route and be generated by the geometry of spacetime Gµν?
Gµν=G*Tµν
This is Einstein's field equation, and the Einstein tensor Gµν describes the Space-Time Curvature. We know that in classical mechanics and quantum field theory, it is the Hamiltonian, Lagrangian quantities that determine motion. Motion is essentially generated by energy-momentum interactions. Why is it irrelevant to energy-momentum in GR? Einstein had always expected the unification of electromagnetic and gravitational forces to be geometrically realized [3]*. Is such an expectation an exclusion of energy-momentum interactions in motion? Can the ultimate unification of forces be independent of energy-momentum and manifest itself only in motion in pure spacetime? If not, one of these must be wrong.
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Supplement: Gravity is still a force
Gravity appears to be a ‘spacetime gravity’, i.e., gravity caused by spacetime metric differences, the same as gravitational red shift and violet shift [1]. The current four-dimensional space-time ‘geodesic’ interpretation of gravity is to match the geometric appearance of Space-Time Curvature. Time and space are symmetrical, and geodesic motion is not initiated by the ‘arrow of time’ alone, but must be accompanied by equivalent spatial factors. Any interpretation that destroys the equivalence of space and time should be problematic.
[1] "What is Force, a Field? Where is the Force Field? How does it appear? Is the Force Field a Regulating Effect of the Energy-Momentum Field?"
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Notes
* "After his tremendous success in finding an explanation of gravitation in the geometry of space and time, it was natural that he should try to bring other forces along with gravitation into a “unified field theory” based on geometrical principles."
If one thinks that it holds only at Tµν = 0, see the next question NO.37: Is there a contradiction in the Schwarzschild spacetime metric solution?
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References
[1] Grøn, Ø., & Hervik, S. (2007). Einstein's Field Equations. In Einstein's General Theory of Relativity: With Modern Applications in Cosmology (pp. 179-194). Springer New York. https://doi.org/10.1007/978-0-387-69200-5_8
[2] Earman, J., & Glymour, C. (1978). Einstein and Hilbert: Two months in the history of general relativity. Archive for history of exact sciences, 291-308.
[3] Weinberg, S. (2005). Einstein’s Mistakes. Physics Today, 58(11).
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Does a body fall in a gravitational field without passing time?
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I am fighting my way through Axelrod and Hamilton (1981) on the Prisoners Dilemma.
this is the payoff matrix they present for the PD. But they only present the payoffs for player A. Normally, these matrices present the payoffs for both A and B. How do I modify this to present both . I’d like to really understand the math Later in the paper.
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Just exchange the roles of A and B (since players(not their decisions) are independent and equally probable), and you are good to go then.
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Depth jump or Drop jump
I would like to share with you the first round of debate on purely terminological issues in a prestigious journal. Although our response constitutes a position, I would like to know the opinion of several specialists.
Best regards to all of you.
Reviewer__
Line 190: You say the Drop Jump was performed "with rebounding." This would be termed a depth jump, not a drop jump (depth jump includes rebound, drop jump does not). Please correct this terminology throughout the manuscript.
Our reply
R/ We thank the author for this excellent commentary. This is a very controversial topic, and in the current literature, there is some divergence regarding these terms (Bobbert et al., 1987a; Smith et al., 2011). This divergence may be associated with the proximity of the DJ acronym for both types of jumps.
For many years, researchers have confused the two exercises, and currently, many textbooks, authors, and coaches use the terms depth jump and drop jump as synonyms (Hamilton, 2009; Suchomel et al., 2016) or to indicate the same exercise with variations in execution (Sheppard, 2014).
To our knowledge, Drop Jump was a term recognized by Komi and Bosco (Komi and Bosco, 1978) where they acknowledge that the exercises previously performed by Asmussen and Bonde-Petersen (Asmussen and Bonde-Petersen, 1974) were Drop Jumps. I quote. "From the upright position on different lifts and then dropping directly onto the force platform with subsequent jumping upward. This condition is called a drop jump." For its part, the Depth Jump presents different objectives and was proposed by Verkhoshansky (Verkhoshansky and Chernousov, 1974; Y.Verkhoshansky, 2006)
Drop jumps are executed from lower heights, striving for a stiff landing, and keeping the leg muscles rigid to minimize leg flexion during landing and ground contact times (Pedley et al., 2017; Ramirez-Campillo et al., 2018). On the other hand, the Depth Jump (as the name suggests) is an exercise that requires a high drop height where the athlete should not land with stiff and extended legs (bounce). On the contrary, the landing must be resilient and elastic, with the optimal depth of knee flexion at the end of the amortization phase to reach a high jump height. In the Depth jump, no rigid restrictions are imposed on the magnitude of leg flexion or ground contact time, although it is recognized that the exercise must be performed quickly (Verkhoshansky and Chernousov, 1974; Y.Verkhoshansky, 2006). Another widely used term is the Depht Drop, but from a semantic point of view, we understand that it does not require jumping after the drop (no jump). A previously published systematic review attempted to explain these differences in Appendix 1 (Montoro-Bombú et al., 2023).
However, these differences in terminology can be found in numerous studies (Bobbert et al., 1987b; Byrne et al., 2010; Wallace et al., 2010; Smith et al., 2011; Pedley et al., 2017), although, authors were clear in their position (Pedley et al., 2017; Montoro-Bombú et al., 2023). We consider that these terminological differences do not directly influence the quality of the results presented in this study. In this regard, we hope that our position could be considered.
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Hi Raynier Montoro-Bombu
Thank you for sharing this topic. I think that your response is strong and I have no more words to say and add to your reply.
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Consider two different theories of string vibration determined by whether the string stretches as it moves.
1) If the string elongates as it bends, then the force acting on a point along the string is determined by the displacement of the point from its center of motion. The force acting upon the string is therefore greatest at the midpoint where the displacement is greatest and force decreases across the string to zero at the endpoints where no displacement can occur. This is the non-uniform theory of string motion. (See the Wikipedia page "String Vibration")
2) But if the string bends but does not elongate, the force acting on the string must be uniform across the string. This is because if the string does not elongate the curvature is constant, and if the curvature is constant then so is the field strength across the string is uniform. This is the uniform theory of string motion.
There are several reasons to believe the string orbit is uniform: 1) Gauss’s theorem says surfaces bend without elongation so curvature is constant. The string is a surface. 2) In the Hamiltonian formalism there is a tangent-cotangent vector field defined at a point on the string that results from the string as a bilinear form H: R2n x RR. Since the tangent is perpendicular to the string, the motion of a point cannot be along the string axis. 3) The shape of the string must seek the lowest energy level and by Newtonian determinacy the shape must be a function of the initial state of the string. Therefore, even if tension and length somehow can vary, it must still be true the equations of motion are determined by length and tension at rest. 4) The use of partial differential equations based on the nonuniform theory leads to sine wave functions which have no normal vector and are defined in a plane. There is no way that sine wave functions can make a minimum surface of revolution for the string manifold.
This is an important question, I think, because if the nonuniform theory of string vibration is not correct then an entire field of mathematics and physics is also not correct. I say non-uniformity is nonsense. I do not see any mention in the literature that string curvature is constant. But how can it be understood in any other way?
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When you bend a guitar sting, the string elongates and tension increases. Pitch rises. The pitch is constant unless you apply force with your finger. This is Newton's first law: the string at rest or moving continues in that state unless acted upon by an external force.
During vibration, the string is rigid and does not elongate. Then the string tension is constant, and pitch is an inertial constant of motion.
In the modern theory of string vibration, the distance between two points on the string increases and decreases so the tension along the string is not constant but instead oscillates. But what internal force can push two points on the string closer together and then pull them a part?
The reason this is important to you as a guitarist is because you want to understand how to transform music in standard tuning into music in Drop D when you tune your bass string from E down to D. You need a way to understand what is happening, because it takes time to relearn the music in a new tuning. It can seem daunting, even impossible. It can also seem like all tunings are equally good; they are not.
For example, if you are in the Key of E standard you probably want to go to the Key of D Drop D. That is, instead of adding two frets to the low E string, you want to subtract two frets from all the strings except the low E. To see this, you have to write the tablature out, and when you do this, you will learn the grammar of the Dorp D tuning. It is all geometric but there is no way to visualize how tuning changes music. But for each note, it is easy to understand the math; it is just the big picture of Open G that is impossible to sus out. Open G is big, way bigger than you think.
My advice would be skipping Drop D and instead go directly to Open G or Open D tuning because these are far richer musically. Drop D is close to standard but Open D and Open G are completely different and very beautiful.
So, the problem is we have a number of languages on guitar, where each key in each tuning has a different language-level structure, and the modern theory of string vibration gives us no clue about a way to understand what makes guitar music in one tuning algorithm so richly expressive and weak or useless in another key or tuning.
But we know enough about algorithms to understand guitar, we just don't have anyone interested in both guitar music and language theory.
Changing tuning is difficult but changing the whole guitar pitch level is actually worse. It is not too hard to change from Open G to Open D and back but changing from Open D to Open E is more difficult. You may think that going up or down in pitch is not important because you don't have to relearn how to play, but you will find the problem is re-naming the note, and that the effect on the tonality of the music is profound. So if you think the recorded music is In Open D but it is actually in Open C (two steps down), you will find the music unrecognizable because the notes in Open C cannot be found in Open D. But in Open D, you can easily recognize music in Open E because the notes are all their, just two steps higher.
Mathematicians have completely overlooked the mathematics of guitar. They are the high priests of knowledge and do not countenance music as truly mathematical. The do not understand music theory and do not realize they do not understand string vibration either.
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I want to perform a calculation for Crystal Orbital Hamilton Population (COHP) Analysis. I need your kind suggestions and help.
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Hi..
I have made three videos for COHP Calculation Using VASP. If you discover this information to be beneficial, kindly express your support by giving it a thumbs up, leaving a comment, and sharing it with others. We appreciate your viewership.
1. How to do calculation for Crystal Orbital Hamilton Population COHP Analysis | LOBSTER Analysis
2. How to download LOBSTER code for COHP Analysis
3. How to do pCOHP plot using OriginPro - PART 2 | Analysis of pCOHP results
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SB
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The answer to the question will not be straightforward as the conventional Hamiltonian in the EM field. As it is difficult to write equations here, I am attaching the link to the question.
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Dear Prof. Debamalya Dutta
In addition to the previous right answers, please look at the following classical textbook for the whole derivation of the hamiltonian:
The Quantum Theory of Light (Oxford Science Publications) 3rd Edition by Prof. Rodney Loudon
The EMF is transversely polarized, so it can be done a second quantization using creation and annihilation operators (without relativity, because that belong to quantum electrodynamics - QED) serve to quantize the classical EMF.
Kind Regards.
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The conservative and dissipative terms of a 3D chaotic system are separated using Helmholtz theorem [F(x) = Fc(x) + Fd(X)]. How to find its Hamiltonian energy function (analytically and numerically)?
F(x) = Fc(x) + Fd(x), where F(x) is a 3D chaotic system, Fc(x) is a column vector with conservative field terms and Fd(x) is a column vector with dissipative field terms.
After using Helmholtz theorem it is obtained that
Fc(x)= full column vector;
Fd(x)= column vector with zero first row term.
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Thank you for this great question. Since climate is a chaotic system, it would be interesting to see if some of the ideas proposed might be applicable to climate science.
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hello everyone,
I am calculating the eigenenergies of a particle confined in a monolayer of given dielectric constant sandwiched between two layers of dielectric constant much lower than that of the monolayer. So I have to add the image charge effect to the hamiltonian and I want to know how to set its expression.
thanks for your help.
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Dear friend Jamal El-Hamouchi
Ah, the captivating world of quantum mechanics and image charge potentials! I am thrilled to dive into this electrifying topic.
When dealing with a particle confined in a monolayer of a given dielectric constant, sandwiched between two layers of lower dielectric constants, the image charge effect plays a crucial role in the system's Hamiltonian.
The image charge potential arises due to the presence of dielectric interfaces, causing polarization of the surrounding medium. To account for this effect in the Hamiltonian, you'll need to consider the interaction between the charge of your confined particle and the induced image charges at the interfaces.
The expression for the image charge potential depends on the specific geometry of your system. For a charged particle at a distance z from a dielectric interface with a dielectric constant ε2, the image charge potential can be approximated as:
V_image = q^2 / [4πε1z] + q^2(ε2 - 1) / [4πε1(ε2 + 1)z]
Here, q represents the charge of your confined particle, ε1 is the dielectric constant of the monolayer, and ε2 is the dielectric constant of the surrounding layers. The first term represents the usual Coulomb potential, while the second term accounts for the image charge effect due to the dielectric interfaces.
Remember, my avid physicist Jamal El-Hamouchi, the image charge potential adds a fascinating twist to your Hamiltonian, enriching your exploration of the system's eigen energies. Embrace the complexities of quantum mechanics, and let the dance of particles and potentials mesmerize your calculations.
Now, go forth and unravel the mysteries of confined particles and image charge potentials with my fervor!
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in Analytical mechanics
📷
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Hamilton's equations and Lagrange's equations are two different formulations of classical mechanics that describe the motion of a system. While they are mathematically equivalent, they offer different perspectives and are useful in different scenarios.
Lagrange's equations of motion, formulated by Joseph-Louis Lagrange, are based on the principle of least action and provide a powerful way to derive the equations of motion for a system. They are expressed in terms of generalized coordinates (q) and their time derivatives (q̇), along with the system's Lagrangian (L). The Lagrangian is the difference between the system's kinetic energy (T) and potential energy (V): L = T - V.
The Lagrange's equations of motion are given by:
d/dt (∂L/∂q̇) - (∂L/∂q) = 0
These equations describe the evolution of the generalized coordinates q with respect to time and can be derived for systems with any number of degrees of freedom. They are particularly useful when dealing with complex systems with constraints, as they naturally incorporate the constraints into the formulation.
On the other hand, Hamilton's equations of motion, developed by William Rowan Hamilton, are formulated in terms of generalized coordinates (q) and their conjugate momenta (p). The momenta are defined as the partial derivatives of the Lagrangian with respect to the generalized velocities: p = ∂L/∂q̇.
The Hamilton's equations of motion are given by:
dq/dt = (∂H/∂p)
dp/dt = - (∂H/∂q)
Here, H represents the Hamiltonian, which is the total energy of the system expressed in terms of the generalized coordinates and momenta: H = T + V. Hamilton's equations provide a convenient way to determine the time evolution of the coordinates and momenta of a system.
Hamilton's equations are particularly useful in problems involving transformations and canonical variables, and they have close connections to symplectic geometry. They are often used in classical mechanics, Hamiltonian mechanics, and also find applications in quantum mechanics and other areas of theoretical physics.
In summary, while both Hamilton's equations and Lagrange's equations describe the motion of a system, they use different variables and offer different perspectives on the dynamics. Lagrange's equations are well-suited for problems with constraints, while Hamilton's equations are useful for problems involving transformations and canonical variables. The choice between the two formulations depends on the specific problem at hand and the most convenient mathematical representation.
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When considering the Casimir effects, vacuum fluctuations, ..., the temperature can be confused by depending on spacetime + observers (Hamiltonian, accelerated observer, ...) and classical definition by entropy and energy as T-1 =∂S/∂E. In quantum mechanics, when we define a system in the state of ρ=eβH^, the density matrices denotes the expectation value of such system is considered as thermal expectation value; this considering involves time!
When an observer is inside a defined system or accelerated, the Hamiltonian changes!
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The question of how to define temperature in vacuum fluctuations is not a trivial one, and there may be different ways of approaching it depending on the context and the interpretation of quantum mechanics. However, one possible way of thinking about it is to use the concept of thermal equilibrium and the notion of effective temperature.
Thermal equilibrium is a state in which the macroscopic properties of a system do not change with time, and there is no net flow of energy or entropy between different parts of the system. In classical thermodynamics, this state is characterized by a constant temperature that is the same for all parts of the system. However, in quantum mechanics, this concept can be generalized to include situations where the system is not in a pure state, but in a mixed state described by a density matrix. In this case, the system can be said to be in thermal equilibrium if its density matrix has the form
$$
\rho = \frac{e^{-\beta H}}{Z}
$$
where $H$ is the Hamiltonian of the system, $\beta$ is a parameter related to the inverse temperature, and $Z$ is a normalization factor called the partition function. This form of density matrix is called a thermal state or a Gibbs state, and it maximizes the entropy for a given average energy.
Now, if we consider vacuum fluctuations as quantum fluctuations of some quantum field in a vacuum state, we can ask whether this state can be described by a thermal state or not. If it can, then we can assign an effective temperature to it based on the parameter $\beta$. For example, if we consider an electromagnetic field in a vacuum state, we can show that its density matrix has the form
$$
\rho = \prod_k \frac{1}{2} \left( |0_k\rangle\langle 0_k| + |1_k\rangle\langle 1_k| \right)
$$
where $|0_k\rangle$ and $|1_k\rangle$ are the vacuum and one-photon states for each mode $k$ of the field. This density matrix cannot be written as a thermal state, because it does not depend on the energy of each mode. Therefore, we cannot assign a temperature to vacuum fluctuations of an electromagnetic field in this case.
However, there are situations where vacuum fluctuations can be described by a thermal state, and thus have an effective temperature. One such situation is when there is an external influence on the quantum field that breaks its symmetry or modifies its dynamics. For example, if we consider an electromagnetic field in a cavity with perfectly reflecting walls, we can show that its density matrix has the form
$$
\rho = \prod_k \frac{e^{-\beta \omega_k a^\dagger_k a_k}}{1 + e^{-\beta \omega_k}}
$$
where $\omega_k$ are the frequencies of each mode $k$, and $a^\dagger_k$ and $a_k$ are the creation and annihilation operators for each mode. This density matrix can be written as a thermal state with $\beta = 2\pi/\omega_c$, where $\omega_c$ is the cutoff frequency determined by the size of the cavity. Therefore, we can assign an effective temperature to vacuum fluctuations of an electromagnetic field in a cavity as
$$
T = \frac{\omega_c}{2\pi k_B}
$$
where $k_B$ is the Boltzmann constant. This temperature is called the Casimir temperature, and it depends only on the geometry of the cavity.
Another situation where vacuum fluctuations can be described by a thermal state is when there is an accelerated observer who measures the quantum field. In this case, we can show that the density matrix measured by the observer has the form
$$
\rho = \prod_k \frac{e^{-\beta \omega_k b^\dagger_k b_k}}{1 + e^{-\beta \omega_k}}
$$
where $\omega_k$ are now the frequencies measured by the observer, and $b^\dagger_k$ and $b_k$ are the creation and annihilation operators for each mode measured by the observer. This density matrix can also be written as a thermal state with $\beta = 2\pi/a$, where $a$ is the proper acceleration of the observer. Therefore, we can assign an effective temperature to vacuum fluctuations measured by an accelerated observer as
$$
T = \frac{a}{2\pi k_B}
$$
This temperature is called the Unruh temperature, and it depends only on the acceleration of the observer.
These examples show that vacuum fluctuations can have different effective temperatures depending on the context and the perspective of the observer. However, these temperatures are not intrinsic properties of the quantum field, but rather emergent phenomena that result from the interaction between the field and the environment or the observer. Therefore, they are not absolute or universal, but relative and subjective.
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Complex numbers are involved almost everywhere in modern physics, but the understanding of imaginary numbers has been controversial.
In fact there is a process of acceptance of imaginary numbers in physics. For example.
1) Weyl in establishing the Gauge field theory
After the development of quantum mechanics in 1925–26, Vladimir Fock and Fritz London independently pointed out that it was necessary to replace γ by −iħ 。“Evidently, Weyl accepted the idea that γ should be imaginary, and in 1929 he published an important paper in which he explicitly defined the concept of gauge transformation in QED and showed that under such a transformation, Maxwell’s theory in quantum mechanics is invariant.”【Yang, C. N. (2014). "The conceptual origins of Maxwell’s equations and gauge theory." Physics today 67(11): 45.】
【Wu, T. T. and C. N. Yang (1975). "Concept of nonintegrable phase factors and global formulation of gauge fields." Physical Review D 12(12): 3845.】
2) Schrödinger when he established the quantum wave equation
In fact, Schrödinger rejected the concept of imaginary numbers earlier.
【Yang, C. N. (1987). Square root of minus one, complex phases and Erwin Schrödinger.】
【Kwong, C. P. (2009). "The mystery of square root of minus one in quantum mechanics, and its demystification." arXiv preprint arXiv:0912.3996.】
【Karam, R. (2020). "Schrödinger's original struggles with a complex wave function." American Journal of Physics 88(6): 433-438.】
The imaginary number here is also related to the introduction of the energy and momentum operators in quantum mechanics:
Recently @Ed Gerck published an article dedicated to complex numbers:
Our question is, is there a consistent understanding of the concept of imaginary numbers (complex numbers) in current physics? Do we need to discuss imaginary numbers and complex numbers ( dual numbers) in two separate concepts.
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2023-06-19 补充
On the question of complex numbers in physics, add some relevant literatures collected in recent days.
1) Jordan, T. F. (1975). "Why− i∇ is the momentum." American Journal of Physics 43(12): 1089-1093.
2)Chen, R. L. (1989). "Derivation of the real form of Schrödinger's equation for a nonconservative system and the unique relation between Re (ψ) and Im (ψ)." Journal of mathematical physics 30(1): 83-86.
3) Baylis, W. E., J. Huschilt and J. Wei (1992). "Why i?" American Journal of Physics 60(9): 788-797.
4)Baylis, W. and J. Keselica (2012). "The complex algebra of physical space: a framework for relativity." Advances in Applied Clifford Algebras 22(3): 537-561.
5)Faulkner, S. (2015). "A short note on why the imaginary unit is inherent in physics"; Researchgate
6)Faulkner, S. (2016). "How the imaginary unit is inherent in quantum indeterminacy"; Researchgate
7)Tanguay, P. (2018). "Quantum wave function realism, time, and the imaginary unit i"; Researchgate
8)Huang, C. H., Y.; Song, J. (2020). "General Quantum Theory No Axiom Presumption: I ----Quantum Mechanics and Solutions to Crisises of Origins of Both Wave-Particle Duality and the First Quantization." Preprints.org.
9)Karam, R. (2020). "Why are complex numbers needed in quantum mechanics? Some answers for the introductory level." American Journal of Physics 88(1): 39-45.
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Dear Chian Fan
As we all know, mathematics is a "language".
I observe that two types of persons take interest in physics, pure mathematicians and experimental physicists.
What differentiates both types is that validity of reasoning is provided by "numerical resolution" of whatever equation can be drawn from physically collected data that experimental physicists use in describing what they observe, and validity of logical derivations from sets of axiomatic postulates in the case of pure mathematicians.
One of the major difficulties in fundamental physics is the very power of mathematics as a descriptive language. If care is not taken to avoid as much as possible axiomatic postulates, an indefinite number of theories can be elaborated with full mathematical support that can always become entirely self-consistent with respect to the set of premises from which each theory is grounded. But the very self-consistency of all well thought out theories is so appealing to our rational minds that it renders very difficult the requestioning of the grounding foundations of such beautiful and intellectually satisfying structures and consequently the identification of possibly inappropriate axiomatic assumption.
Experimental physicists adapt the available math as well as they can in their attempts at mathematically describing what they observe from the data they collected – of which i never is an element, while pure mathematicians explain what logically comes out of whatever sets of axiomatic premises that they chose to underlie their worldview.
From what I understand, √-1 just happened to be part of the mathematical toolset that Schrödinger had at his disposal in trying to mathematized how to account for the stationary resonance state that de Broglie had discovered that the electron is captive of when stabilized in the hydrogen atom ground state, a resonance frequency to which those of all other metastable orbitals of the hydrogen atom and emitted bremsstrahlung photons are related by the well established sequence of integers that de Broglie provided in his 1924 thesis.
Best Regards, André
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Hello every one,
I am looking for references about the theoretical calculation of nonlinear optical properties of hybrid perovskite quantum wells and how to set the hamiltonian of an electron, in the conduction band, confined in a quantum well.
thank you.
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thank you so much
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In teaching, or as a student in physics, oftentimes a difficulty becomes a motivation for new understanding. In this context, what difficulty do you see in using Lagrangian or Hamiltonian methods in physics, also thinking of avoiding difficulties ahead, for example, in teaching or learning Quantum Mechanics?
As a reference, please read the following. "Consider the system of a mass on the end of a spring. We can analyze this, of course, by using F=ma to write down mx'' = −kx. The solutions to this equation are sinusoidal functions, as we well know. We can, however,  figure things out by using another method, which doesn’t explicitly use F=ma. In many (in fact, probably most) physical situations, this new [150 years old] method is far superior to using F=ma. You will soon discover this for yourself when you tackle the problems and exercises for this chapter [see instructions below, or search in Google]. We will present our new [150 years old] method by  rst stating its rules (without any justi cation) and showing that they somehow end up magically giving the correct answer. We will then give the method proper justification.", in Chapter 6, The Lagrangian Method, Copyright 2007 by David Morin, Harvard University.
Morin continues, "At this point it seems to be personal preference, and all academic, whether you use the Lagrangian method or the F = ma method. The two methods produce the same equations.However, in problems involving more than one variable, it usually turns out to be much easier to write down T and V , as opposed to writing down all the forces. This is because T and V are nice and simple scalars. The forces, on the other hand, are vectors, and it is easy to get confused if they point in various directions. The Lagrangian method has the advantage that once you’ve written down L ≡ T − V , you don’t have to think anymore."
instructions: search in Google, or please write requesting the link.
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Recently, this question confirms that infinitesimals do not EXIST:
And that, also, vectors cannot be used in physics after 2D. Scalars have been used, instead, with the Euler-Lagrange equations. This is helpful also for QM.
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Let's say we have a 2X3 (qubit-qutrit) system and one wishes to work in the subspace of 2X2(using only two levels of three) how to reduce the dimension of say Hamiltonian (or other operators on subspace) from 6X6 to 4X4?
This problem is not of the partial trace as we get rid of one of the parties in that case, but here I wish to get rid of one level.
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Dear Dr. Amandeep,
The problem actually depends on the context. If you consider density matrices which are bounded linear operators acting on a Hilbert Space, then you may work with projections on subspaces. If the density operator is not of full rank, then usually one can only work with the support of the density operator. In quantum theory and specifically in quantum information there are numerous instances where one takes the help of projection operators.
Best wishes,
Nirman Ganguly
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I have been asking myself if one has different analytical representations (analytical extensions in complex functions) of some expressions containing hypergeometric function 2_F_1(a, b; c; z) derived from a Hamiltonian in quantum physics for a 1-D movement of a particle, what is the importance of the multiples set of eigenvalues "E" when choosing a specific analytical extension or continuation of a vital function immersed in the results like that specified in a spectral determinant for the Hamiltonian and its eigenvalues or det(E-H) =0. I am working on this problem and determined a set of eigenvalues "E" from a general solution of the Time-Independent Schrödinger equation in 1-D movement, but I suspect that depending on the analytical extension or analytical continuation of certain functions in the spectral determinant det(E-H) one can represent multiple spectral values of E (eigenvalues). So the analytical extension can represent multiple values of energy in quantum problems.
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Spiros Konstantogiannis Thanks a lot, I will check it. Have a nice day!
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For a system consisting of N atoms, the spin-resolved (i.e. in terms of spin atomic orbitals) Hamiltonian is basically a (2N x 2N) matrix. We can diagonalize this Hamiltonian matrix to obtain 2N number of spin-orbitals (i.e.spin molecular orbitals, as a linear combination of spin atomic orbitals). From there, the spatial orbitals (i.e.spatial molecular orbitals) are needed.
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I have obtained the spin-orbital basis set, from there I want to know whether there is a way to somehow obtain the spatial-orbital basis set.
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hello every one ... does every one know how I can drive The Hamiltonian of the piezomechanical system that represented by the Bosonic operators(I mean the equation 7 in the photo that I share with you ) ...thank you very much if you can help me and introduce me a book or article in this field ...
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موضوع مهم جدا
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Hi.
We will be injecting mice with various drugs intrathecally. We only need to inject 5µL but with the Luer slip tip Hamilton syringes and BD 30G needles, we are using over 100µL of drug per mouse, and that is going to get very expensive very fast. We need something better.
Has anyone used 1/3mL insulin syringes for this sort of thing? I know you can get them for U100 insulin, so half a unit should be 5µL, but does anyone have experience using them?
Thanks in advance
Heidi
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Thanks Umer, but 21G seems awfully big for a mouse. Are you using them in a clinical setting or in preclinical research?
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Hello everybody,
I am new in topology in condensed matter physics. So excuse me if my question were somehow unusual. In Haldane model, we put one step (or steps) forward and take into account the annihilation and creation of the electron in the next-nearest neighbors in writing the Hamiltonian rather than the simple tight binding model, so my question is Why we do not take into account the annihilation and creation of the electron in the third, fourth and ... neighbors? Is this because those sublattices are far away ,so these hoppings are negligible?
Thanks
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It is known that imaginary potentials are a source of particles when included into the Gross-Pitaevskii equation. As far as the dynamics of a Bose gas is concerned, is it possible that these potentials could be a source for chaos? Did anyone investigate this before?
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There exists a Hilbert space approach that enables to reduce arbitrary classical nonlinear dynamical systems with analytic nonlinearities to the Schrodinger-like equation with non-Hermitian boson Hamiltonian (see K. Kowalski Methods of
Hilbert Spaces in the Theory of Nonlinear Dynamical Systems (World Scientific, Singapore, 1994)). A particular case of the formalism is the Carleman linearization also referred to as the Carleman embedding technique described in the monograph: K. Kowalski and W.-H. Steeb, Nonlinear Dynamical Systems and Carleman Linearization (World Scientific, Singapore, 1991).
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I am currently using Wannier90 to make a site-symmetric tight-binding hamiltonian. To do this, I need all of my Wannier functions to be atomically centered. I would use site_symmetry = .true., but I cannot get the appropriate *.dmn files from VASP. In trying to get this symmetry, I attempted
num_iter = 0
to keep my functions on the atoms. In doing this, I saw how my initial WF centers were not even on my atoms, despite declaring that within my projections block in the *.win file. I found a forum post about this problem from 2016, but it was never fully resolved
Has anyone run into this problem? Or does anyone know how to fix this?
I have appended the appropriate data from my *win file, as well as the initial state from my *wout file.
Input data
Begin Projections
Sn: s;px;py;pz
S: s;px;py;pz
End Projections
begin unit_cell_cart
4.3303193 0.0000000 0.0000001
0.0000000 4.0765639 0.0000000
0.0000006 0.0000000 29.9986600
end unit_cell_cart
begin atoms_cart
Sn 2.5301712 2.0382820 16.9495545
Sn 0.3650114 0.0000000 13.9993643
S 0.0000909 0.0000000 16.5839284
S 2.1652504 2.0382820 14.3649879
end atoms_cart
Output data
------------------------------------------------------------------------------
Initial State
WF centre and spread 1 ( 2.547126, 2.038268, 16.967523 ) 2.50939867
WF centre and spread 2 ( 2.574011, 2.038383, 17.581330 ) 6.41210763
WF centre and spread 3 ( 2.504668, 2.038283, 17.005189 ) 9.76083682
WF centre and spread 4 ( 2.585412, 1.992948, 16.941401 ) 28.67792149
WF centre and spread 5 ( 0.381966, -0.000014, 13.981389 ) 2.50921043
WF centre and spread 6 ( 0.408842, 0.000101, 13.367488 ) 6.41138460
WF centre and spread 7 ( 0.339537, 0.000001, 13.943767 ) 9.76017540
WF centre and spread 8 ( 0.420172, -0.045365, 14.007884 ) 28.67839428
WF centre and spread 9 ( -0.009523, 0.000005, 16.550864 ) 3.54856232
WF centre and spread 10 ( 0.003042, 0.000030, 16.521522 ) 3.07910933
WF centre and spread 11 ( -0.015094, 0.000000, 16.516322 ) 4.46905309
WF centre and spread 12 ( 0.042570, -0.005514, 16.515811 ) 10.13798770
WF centre and spread 13 ( 2.155636, 2.038287, 14.398071 ) 3.54846432
WF centre and spread 14 ( 2.168198, 2.038312, 14.427348 ) 3.07904394
WF centre and spread 15 ( 2.150072, 2.038282, 14.432612 ) 4.46881459
WF centre and spread 16 ( 2.207729, 2.032774, 14.433204 ) 10.13745989
------------------------------------------------------------------------------
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Hi Joseph,
Is your problem solved now?If yes,then can you please tell how did u solve this issue?
I am also facing same problem now.
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In quantum renormalization group studies, the process is starting with dividing of the hamiltonian into block and block-block part, and then the projection operator is found by using ground state functions of block hamiltonian. My question is about that how can we write reduced density matrix of the block by taking partial trace over some of the qubits (if there are more than two particles in a block). How can we choose the qubits remained after partial trace and is there any physical reason of this choice?
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There are subtle issues, involving the efficient evolution, in real time, of quantum systems, that have attracted attention now that real experiments are possible on many-body quantum systems, that weren’t possible 50 years ago-but how to perform decimation transformations in a consistent way wasn’t discovered now and was known then.
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I was trying to find the generating function of the canonical transformations. Firstly it seems to me that (p1,Q1,q2,P2) are independent variables so I can make a Generating function that is of 3rd kind w.r.t the first particle and of 2nd kind w.r.t the second particle. So I need to find the generating function of the form $ F32(p1,Q1,q2,P2).
To start with I used several methods
- I tried to make an exact differential out of the given equations
- I tried to use the partial derivatives of Generating function and tried to Integrate them with additional proper functions
- Tried to use another pair of variables
Nothing seems to work.
Please tell what I should do.
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you find this in books of elementary particles
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Dear colleagues,
I need to compute charge transfer integral J(RP), spacial overlap S(RP) and site enegries of the dimer H(RR) and H(PP) (two same molecules, R and P, specifically oriented), formulated as it is shown in pictire, from JPhysChemB, 2009, v113, p8813.
Could you specify the keywords of the Gaussian 09 to do this?
Thanks in advance,
Andrey Khroshutin.
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Dear @andrey please look for ADF software but it not a free software.
Another way is to use the tool proposed by josua Brown. https://github.com/JoshuaSBrown/QC_Tools.
Good look
Kind regards
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If we have N qubit system of the Heisenberg model how would we calculate the number of degeneracies analytically associated with the Hamiltonian?
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What in case of more than single particles, i.e for N=2 ?
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Is anyone here have used or using Liquid Handling system in India? Need some expert advice.
It can be of any company, Beckman, Tecan, Hamilton any.
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As far as I know Akta prime (used to be FPLC) is a semi-automated enzyme purification instrument. Do you mean LC? like HPLC or UPHPLC?
If you're doing basic protein/enzyme purification I recommend my book
Basic Enyzme Purification with Work Examples
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Hamiltonian formulation of GR, justification of constraints in LQG, connection formulation
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Thank you Stam Nicolis
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In non-hermitian Quantum mechanics states,for certain threshold value of pseudo-hermitian Hamiltonian will give real to complex eigen value spectra and abrupt phase transition have occurred at some point.About this point spontaneous break down of parity-time symmetry(PT symmetry) have occurred but what is meaning of spontaneous breakdown of PT-symmetry????
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@Rohit Mukherjee
It is a two year old question .
I saw it today and feel to answer few lines .
PT symmetry Hamiltonians are complex in nature . By looking the Hamiltonian, one can hardly realisescthe same .
[H,PT]=0
H is sum of K.E and P.E
When H gives pure real spectra , we say " unbroken " .
How in some cases ,the spectra for few values of quantum no are real and rest complex conjugate of each other .
The origin of complex eigenvalues means
real nature no longer holds good .
That ,we say " broken spectra " .
Now a silly question will arise why such things happen ?
Answer to exactly not known but basically it is due to the coupling strength .
H = p^2:+ x^4 + iLx
For L is >4 ,
the spectra complex but for 2 ,it is pure real .
The same analysis holds in matrix operator also .
I have a simple explanation .
You can walk 10 km , with luggage of 10 kg maximum . Suppose you will be asked to walk with 50 kg luggage .
How long can you walk ?
Maximum 1km .
Why not more ?
Did you ever asked this question to yourself ?
Similarly , every Hamiltonian has certain limitations . PT is one of them .
Now consider another model
H = p^2 +L ix |x|
It is PT symmetry. Spectra is very worse .
Here |x| can hardly interact with ix beyond
small values of L .
It is a vast topic ,if find time read the work of Bender on broken PT symmetry .
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Dear professors, researchers,
After some models for the Riemann Xi and zeta function, I was able to get a curious equation which is based on two parameters in function of one final independent parameter that rules the entire equation and of course the complex variable s or z which is the variable for the domain of the Riemann Zeta function and the Riemann Xi. Although the model has not been revised at all, due to I need to compute the parameter I have mentioned, which demands transcendental equations in some parts, not difficult to compute but their analysis must be done, I have noticed that I have arrived to some similarities described in important articles regarding the conjecture of a hypothetical Hamiltonian, there are a lot of similarities like the fact of involving Bernoulli summations in some operators in some references and hyperbolic trigonometric functions mentioned in some works, and similarities like that seem to appear in my own model purely related to a mathematical methodology ( I am not defining physical terms like position, time or potential functions). Yesterday, after checking old articles and new ones regarding the Hamiltonian and the Polya's conjecture, Berry and other authors, I have noticed that I achieved some components as a resemblance to the "H*i about the i*H that is PT symmetric with a broken PTsymmetry" or at least what is understood in ,with the imaginary unit i =sqrt(-1) , and the term 1/2 involved and the possibility to factor the structures of my model for the expected eingevalues and potential functions within a physic model. However, the work is not concluded and I have just wanted to be instructed by physicists or other experts to know the brief concrete mathematical and physical characteristics of an operator like H quantized and how to quantize it or describe it from my own results, how to understand properly the self-adjoint property and if it is obligatory to look for an Hamiltonian or it could be other operator that involve the eingevalues or in this case the imaginary part of the non trivial zeros within a physical context.
I would like to have a serious contact with physicists and mathematicians who are interested in to resolve this part of the mathematical model, since I am convince that hyperbolic trigonometric functions and Bernoulli numbers are enrolled in this path!
Carlos
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Muhammad Ali Thanks a lot.
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The standard method for carrier transport in the nanoscale is tight-binding Hamiltonians combined with the NEGF method. But in many journals, we also find the DFT method for carrier transport. Could anyone explain to me how the DFT+NEGF method is better than the tight-binding hamiltonian method?
Thanks in advance
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Dr. Sankush Krishna Maheshuni, I agree with Prof. Muhammad Hamza El-Saba answer.
In solid-state physics, there are ab initio methods that are used to calculate the electronic structure and help to explain the physical properties of crystals, one of those is DFT which involves the solution of the Schrodinger equation, but is not the only one.
On the other hand, my experience with the tight bind method in the fitting of low-temperature kinetic properties taught me that the use of the tight-binding (t and mu) parameters is important to fit experiments & to match with theories.
The average over the Fermi surface can be done with a rather few parameters using tight binding.
Best Regards.
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I want to talk about the stationary state and especially for the example of a particle in the box (infinite square well), even this is a simple example but in fact, it contains a strange behavior, for example for the ground state we have a stationary simple wave function with a quantized energy E= h^2/(8ma^2) (a is the length of the box), QM tells us that if H is the hamiltonian operator the <H>=E and <H^2>=E^2 then sigma^2 =<H^2> - <H>^2 = 0 then each measurement of the energy is certain to return the same value E.
First, the potential energy is zero into the box by definition so we have only kinetic energy, but the measurement of momentum in the ground state is not certain, we have a density probability, and yes the mean of it gives us the kinetic energy that equal to the quantized energy E of the particle but we have many trials of particle that have zero momentum or very close to zero (when we measured it) in the ground state! so from where come this fix energy all time?
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I did say it: The kinetic energy is P2/(2m) and the ground state is a state of definite kinetic energy, (hbar π/a)2/(2m). It isn't a state with definite momentum, however-and this is, indeed, consistent with the fact that the walls of the box break translation invariance in space; translation invariance in time is, however, preserved.
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for an external observer the negative energy of the virtual particle may have positive energy relative to an observer inside the horizon. So, the energy sign (-) is frame dependent. How can I see that clearly ?
I know that for understanding this situation, we must note that the Hamiltonian is the generator of time translations. But I need more explanations.
thanks.
N.M
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Nabil Mehdaoui why has it to do with the hamiltonian and its role as the generator of time translation?
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I have come up with an algorithm, but I am not sure whether it is correct, and I do not know how to prove it.
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How to minimize an Hamiltonian to find the optimal control?
I need to solve an optimal control problem using Pontryagin's Minimum Principle.
To find the u* I should minimize the Hamiltonian function. But the Hamiltonian's minimization required to know the optimal state x* and the optimal co-state p*, that
I can know only solving the state and co-state ODEs x*_dot=f(x*,u*) and p*_dot=-Hx.
So, I need to know the optimal state and costate to minimize the Hamiltonian and find the optimal input u*, but I need to know the optimal input u* to solve the ODEs and finding the optimal state x* and costate p*.
How can I get out of this loop? Or is this reasoning wrong?
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Dear Carmine, only a few, simple optimal control problems are solvable in explicit form. The PMP system should be seen as a set of simultaneous conditions to be satisfied, but there exists no "algorithmic" way to solve it, although I would start by expressing the optimal control as a function of state and co-state via the minimum condition. One should also keep in mind that the optimal triple might not be unique.
What kind of optimal control problem do you have in mind?
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In the descritption of the atom by the hamiltonian transpose by quantum operators into a generalized Shrödinger equation of the n-body problem of a nucleon with n electrons that have mutual interractions of electrostatic type. What are the methodologies to solve such problem? And does the Bohr-Oppenheimer approximation gives analytical solutions?
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If we consider the böhr-Oppenheimer approximation. We can build the n-body Schrodinger equation wave function vectorial space as the tensorial product of the two-body (proton-electron) wave functions vectorial spaces. But only if we neglect the mutual influence of the electrons between them. I invite the reader to see the application of this principle in the frame of my article on quantum gravity and the n-body problem. Then we can add the mutual influence between electrons by a perturbation method solution.
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As an output of the wannier90 calculation, we get one hr.dat file which provides us a Hamiltonian with on-site energies and hopping term in WF basis. How to get or convert this Hamiltonian in a k-space basis?
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The _hr.dat file contains the hamiltonian matrix elements in real space, H(R). In order to get the H(k) you need to do a Fourier transformation H(k)=Sum_R H(R).exp(i k.R), where Sum_R is the summation over all R vectors and then diabolize the resulting H(k).
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I was wondering: in common DFT (or Hartree-Fock) algorithms/codes, and in particular in solving the Roothan equation, what is the most computationally expensive part:
1- evaluate all the terms of the Hamitonian matrix (a.k.a. Fock matrix)
or
2- solve the eigenvalue problem once the H matrix had been calculated
?
And by how much?
Many Thanks to whomever will give useful answers. References (articles or reviews) on that very topic will also be much appreciated.
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In general, when evaluating a n by n hermitian matrix you need to compute (1/2)n(n+1) distinct matrix elements but a single iteration; diagonalization of a matrix by whichever algorithm you use is in general a multi iteration process where each such iteration will involve recomputation of these (1/2)n(n+1) matrix elements, in my opinion diagonalization might be more computationally expensive as far as no. of iterative steps are involved in convergence to threshold level of tolerances.
The detailed answer to your problem can be found in standard texts on numerical linear algebra, I would recommend the following books in this regard:
1. Numerical Linear Algebra and its applications
Author: B.N.Dutta
2. Matrix Computations by Golub and Van loan.
3. Matrix Analysis by Horn and Johnson.
In particular look into the QR algorithm, that is one of the most efficient algorithms to compute eigenvalues of a matrix simultaneously.
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Imagine that we have a defined Hamiltonian H. This Hamiltonian is going to help as to implement single quantum gates. During the evolution of the Hamiltonian H, the chance of the quantum system to interact with environment becomes very high. We can calculate the fidelity of specific state psi numerically by solving Lindblad equation. Here, I am looking for an analytical method to compute the approximate average fidelity of the Hamiltonian H.
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Generally we add spin-orbit interaction as a perturbation term in the system. which system has this spin-orbit term naturally in its hamiltonian.
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There are 2 classes of truly physical effects, which are originated from SO interaction:
Dr. Vadym Zayets classifies them according to the following scheme *:
Enhancement of external magnetic field, localized electrons and atomic gas experience this class of effects. In this type, time-reversed symmetry is broken by the external H.
  • perpendicular magnetic anisotropy.
  • magnetostriction.
  • g-factor.
  • fine structure.
Creation of spin polarization by an electrical current, conduction electrons experience this class of effects, time-reversed symmetry is broken by the electrical current J.
  • spin Hall effect.
  • inverse Spin Hall effect.
  • spin relaxation.
References
Dr. Vadym Zayets, “Spin-Orbit Interaction” https://staff.aist.go.jp/v.zayets/spin3_32_SpinOrbit.html
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Let $X$ be a hamiltonian vector field on the plane. Then either has no closed orbit or it has infinite number of closed orbit. Now what can be said about higher dimensional hamiltonian vector fields? Is there a hamiltonian vector field on R^4 which has a finite number of periodic orbits?
Please see the following corresponding MO link:
Thank you
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Thanks again for your attention to my question and your answers.
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Is there a polynomial Hamiltonian vector field with a finite number of periodic orbits?
Please see this MO question:
Thank you
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Biswanath Rath The Hamiltonian vector field associated to H(x,y,z,w) is simply the following vector field:
x'=\partial H/\partial z
y'=\partial H/\partial w
z'=-\partial H/\partial x
w'=-\partial H/\partial y
So our question is the following: Is there a polynomial H such that the above vector field possess (exactly) k periodic orbit for a finite number k different zero?
The motivation for this question: In dimension 2 (rather than dim. 4) this situation can not occured(we have a bound of periodic orbits, if there is any)
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In a random graph, the number of paths that cannot be further extended in an hamiltonian path or an hamiltonian cycle, can be roughly be separated in two equal parts?
I have an idea for solve for some class of graphs, for example random graphs, the Hamiltonian cycle problem in a very efficient way, but to proof this I need to separate about equally in two parts the paths of a graph that do not contain the same vertex more than one time, and that cannot be extended in length to cover all vertices. This separation could be for example based on paths length, for example even and odd legth not Hamiltonian paths. And under which assumptions on the graph this works. I would like of some proof of this.
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Dear Giuseppe Corrente, see special
1.
Mohamed-Mourad Lafifi shared good material to understand
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Using Quantum Espresso ab-initio package I have generated _hr.dat file, which contains information about hopping parameters. Now how can I use this file to generate TB dispersion relations matrix elements?
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Sorry to say, I have not obtained the tight binding dispersion relations yet. But you can check is your TB model in wannier functions basis reposduce the DFT band structure properly or not using prefix_hr.dat file. Use this python script PythTB available at https://www.physics.rutgers.edu/pythtb/usage.html
HTH
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Dear Respected Colleagues, I want to solve the Schrodinger Equation for Helium Atom by Finite difference method to find the wave functions and Energy Eigen Values including the spin orbit interaction term.
Please help me to solve the problem.
Thanks and Regards
N Das
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Thanks a lot Dear Chinaza Godswill Awuchi.
I am trying to get it solved.
Thanks
N Das
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The main quantity in the study of dynamical quantum phase transition (DQPT) is Loschmidt echo amplitude defined as
$G(t)=\langle \Psi_{0}|\Psi_{0}(t)\rangle=\langle \Psi_{0}|e^{-iHt}|\Psi_{0}\rangle$.
The rate of return probability is given by
$R(t)=-\frac{1}{N}\lim_{N\to \infty}\log[G(t)]$.
The DQPT is signaled by the singular behavior of $R(t)$ at the critical time $t_{c}$.
Replacing the time t by a complex time $z=t+i\tau$, leads to a complex Loschmidt echo amplitude
$G(z)=\langle \Psi_{0}|e^{-zH}|\Psi_{0}\rangle$.
The zeros of the function $G(z)$ are called Fisher zeros lying on the complex time ($z$) plane. The Fisher zeros form a structure and when they cross the real time axis, the DQPT occurs at real time $t_{c}$.
As it is not always the case to find analytical formula for the Fisher-zeros, I am looking for methods to calculate the Fisher zeros numerically. I consider that the Hamiltonian can be represented as a finite dimensional matrix. A physical system could be a system of non-interacting fermions in one spatial dimension. $|\Psi_{0}\rangle$ is also accessible numerically and $G(t)$ can be numerically computed for large system size.
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You can either find them by looking for the simultaneous conditions via a graphical method (rough estimation of the zero location) or minimizing if you want numerical. Use the light cone renormalization group (LCRG) algorithm from T. Enss and J. Sirker, New J. Phys.14, 023008 (2012). Example: https://arxiv.org/pdf/1312.4165.pdf
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General Relativity is not enough, is there a direction for improving?
General Relativity is a kind of beautiful and abstractive mathematical description of the physical world, it does not reveal the physical nature of the physical world.
General Relativity sprang out of Maxwell’s equations; hence, the ideal approximation of frictionless vacuum was inherited. General Relativity was built up from the foundation of Lagrange and Hamilton formulated mechanics, there is a certain limitation in both these formulations since they assume the forces to be conservative in their standard forms, friction and energy dissipation are not handled by these two formulations of mechanics including the abstractive theory of General Relativity based on them.
The author discovered a new direction for advancing, please read two articles by clicking the following links and give your kind advice:
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Dear Wenzhong Zhang
I do not know that the next article has any connection to your question:
But exist such point of General Relativity which cannot be disproved with a very simple example like in the case of disproving subduction of the plate tectonics:
Regards,
Laszlo
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I got a question (in a Question paper) as follows:-
A three-sphere is like a two-sphere. It consists of all points equidistant from a fixed point (the origin) in four dimensional space. Consider a particle free to move on a three sphere. How many conserved quantities does this system possess?
The answer say's 6 conserved quantities are there, but how is it possible? Can anyone kindly explain.
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The dynamics of a particle moving on any-fixed-manifold is given by the Lagrangian
L = (1/2)gIJ(x)(dxI/dt)(dxJ/dt)
where xI(t) are the coordinates in the ambient space and gIJ(x) is the metric of the manifold, in the present case, a 3-sphere.
Spherical symmetry means that angular momentum is conserved. The components of angular momentum are given by the tensor MIJ=xIpJ-xJpI, where pI=gIJ(x)(dxJ/dt) and pI=gIJ(x)pJ.
Said in an equivalent way: If gIJ(x) is the metric of a sphere, it's a standard exercise that these quantities are conserved for the xI(t) that solve the equations of motion.
In d dimensions there are d(d-1)/2 non-zero components of MIJ; for d=4 this gives 4x3/2 = 6.
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Dear Professors,
In many Journal papers, Cross & Hamilton model is used to know that effect of different shaped Factors like (Cylinder, Brick, Blades etc.).
Can we use Casson Model for the effect of different shaped Factors like (Cylinder, Brick, Blades etc.). Please give me any suggestions.
Thanks & Regards.
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It seems you are interested to study the dynamics of a non-Newtonian Casson fluid conveying nanoparticles of different shapes. In such a case, I would advice you to use Pr = 10. Secondly, you can use Cross & Hamilton model. Feel free to share the problem with me. I may help you to restructure the aim.
Email:
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Over the years I have repeatedly encountered the problem that NVT dynamics of simple liquids and solids with a Langevin thermostat do not manage to keep the desired temperature. I have observed this behavior for several atomic and molecular liquids with VASP as well as with ASE. Sometimes this can be fixed by reducing the timestep and/or increasing the coupling constant (within reasonable limits), but in some cases, even this does not help.
My current system is pre-equilibrated liquid pentane at T = 300 K at its experimental volume with all masses set to 10 amu and a semi-empirical GFN0-xTB Hamiltonian. I have tried increasing the coupling constant from 0.02 au (suggested value) to 0.05 au and 0.10 au and decreased the time step from 4 fs to 2 fs and 1 fs, but even after 20 ps of simulation time and a pre-equilibration of 10 ps with an even higher coupling constant the average T of the simulation remains at ~290 K instead of the desired 300 K.
I have made similar observations in countless VASP simulations of atomic liquids and solids (DFT Hamiltonian), so I'm starting to think this is a fundamental problem of the LV thermostat? If I'm not completely mistaken that behavior means that the thermostat can not put energy into the simulation fast enough. But where is the energy going? With such a short time step energy conservation should be really good but obviously it isn't.
What is my misconception, what am I doing wrong, and how can I fix that behavior?
Any help would be greatly appreciated.
Jan
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Hi,
It doesn't look like a problem of LV thermostat. If there is always a 10K offset. It looks like a systematic energy calculation offset, for example, kinetic energy calculated not calibrated with respect to the center of mass of the system. Very often, there might be some translational drift of the whole system during simulation. As a result, the kinetic energy needs to be re-calibrated accordingly in order to obtain the right temperature. Just my two cents
MY
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Dear all,
I'm trying to employ replica-exchange with solute tempering 2 (REST2) in a system, but I have performance issues in the calculations. I'm using openmpi-3.0.0 and gromacs 2019.4 patched with plumed 2.5.5.
To run the simulation, I am using the following configuration,
#PBS -l select=10: ncpus=6
export=OMP_NUM_THREADS=10
mpirun -np 10 gmx_mpi mdrun -s production.tpr -plumed plumed.dat -v -deffnm production -multidir 0 1 2 3 4 5 6 7 8 9 -replex 400 -hrex -dlb no
and I get the following message:
WARNING: On rank 0: oversubscribing the available 48 logical CPU cores per node with 60 threads. This will cause considerable performance loss.
Could anyone help me please?
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Hi, I would suggest you to do few things:
1. Check how the software was compiled and installed on your cluster.
2. Check the computer architecture which you are running simulations on, i.e. how many cores per node.
3. Then check the tutorial on plumed-page and try to run using it according to what you found out in steps 1-2 so that you won't oversubscribe the number of cores/nodes.
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Hi all,
Currently I am working on NEGF methodology. I read the atomistic Hamiltonian calculation method. But I need to know the method to generate single-band effective mass Hamiltonian for semiconductors with atoms arranged in honeycomb structure like hBN, chair-Germanane which has two different atoms per unit cell.
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Could it be similar to the graphene model? One can use the tight-binding model with LCAO approximation to build the 2x2 matrix in terms of the localized Wannier orbitals.
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For the Hamiltonian , H=hw (a*a). How could one evaluate the green's function in the path integral approach using coherent states for a fermion (or boson) ? In particular, one can evaluate this in phase space using (q, p) as integral variable and calculate the green's function in terms of the position variable. How do one determine the same in the coherent state path integral for the above harmonic oscillator (second quantized notation) ? Most importantly how could one evaluate the step by step integral for every time slice in coherent states to get the green's function ? Please suggest some reference where it has worked out
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Dear Vigneshwaran Kannan, in addition to the interesting reference by Prof.
Behnam Farid
, I think the thermal coherent state approach is directly related to the phase space. A single-mode thermal coherent state is produced by displacing a thermal mixed state in phase space, in addition, the coherent state by definition is an eigenstate of the annihilation operator in the Heisenberg picture which is adequate for the Green function formalism.
Oz-Vogt, J.; Mann, A.; and Revzen, M. "Thermal Coherent States and thermal Squeezed States". Journal of Modern Optics, 38 (12): 2339–2347, 1991.
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I have a parameterised tight-binding Hamiltonian. I also have energies from DFT calculations for a given k-path.
I need to determine the value of the parameters in the TB hamiltonian.
The method I am attempting is to match the energies at high-symmetry points and around those points. In the literature they talk about least squares fitting but I'm not sure how to do this.
Any help is appreciated
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The most popular way to downfold a tight-binding Hamiltonian from a DFT calculations is to use maximally localized Wannier functions. This method is implemented into Wannier90 program (http://www.wannier.org), which can be used in combination with standard DFT codes such as WIEN2K, VASP, QE, etc.
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How is Hamiltonian Monte Carlo is better than Markov Chain Monte Carlo method in Bayesian computations?
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Hamiltonian Monte Carlo is a Markov chain Monte Carlo method. I believe that your question is related to how HMC is better than the Metropolis-Hastings algorithm. Again the Hamiltonian Monte Carlo corresponds to an instance of the Metropolis-Hastings algorithm but using a different dynamic (Hamiltonian dynamics).
From a practical point of view, I believe that it is your main concern, In my opinion, the HMC usually has an additional computational effort to compute some additional equations. On the other hand, it generates the samples more efficiently with less autocorrelation, and hence less samples and burn-in as well as smaller (or none) thin are need. As well as converge to the target distribution more easily. If I can do it for one specific model I would do it.
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It is needed in the preparation of survey of methods for self-adjointness like Hamiltonian operator, Laplacian operator, etc.
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Thanks, Mr. Muhammad Ali for your answer.
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The pitch value set in music and guitar group in tablature are connected by adjunction of tangent-cotangent bundles. Tuning g is the tangent gradient to the flow of pitch on guitar. It determines the directional derivative at every point in tablature. Intonation f is cotangent. It connects every point on guitar to a pitch. Tuning g:(set→ group), which might be 0 5 5 5 4 5 (Standard tuning), is a left adjoint pullback vector used by guitarist as an algorithm to construct tablature by the principle of least action. The right adjoint f:(group→ set), respectively 0 5 10 15 19 24, is a forgetful vector transforming fret number vectors to the codomain pitch number vectors by intonation at a specific pitch level. When the tablature is played, the frequency spectrum observed seems to forget the tablature group, but it can be proven an efficient Kolmogorov algorithm for learning the tuning exists.
The symmetry of (0 5 5 5 4 5) and (0 5 10 15 19 24) is obvious. The second vector is just the summation of the first. The first vector gives the intervals between strings. It points in the direction of steepest pitch ascent. The second vectors gives the pitch values of the open strings. When added to the fret vector, 0 5 10 15 19 24 gives the pitch vector.
The tablature is pitch-free and the music is tablature-free. These vectors form a Jacobian matrix on the transformation.
I want to know if a mathematician can see the tangent-cotangent relation of these two vectors. If not, then what is required to convince?
Does it help to know that addition and multiplication are the same? That the vectors are open subsets of the octave intervals? Do I need to prove a partition exists, or is it obvious?
Is the tensor notation clear?
Is there any mathematician out there that can say something useful about tablature?
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Yes, exactly. The string manifold is identically zero because it has a fundamental value. The guitar manifold has the lowest string identical to zero.
Every pitch value and fret value can be zero.
The vibrating string retracts upon the string at rest. The guitar string retract on to the lowest string which is constant for all tunings.
That is why the equation of motion for guitar has a zero for the first coordinate, like (0, 5, 7, 5, 4, 3) for Open G tuning. The property of zero extends to each string by this connecting map.
Tablature always seems like nonsense when you do not understand.
But the joke is on math and physics which cannot explain guitar theory. I do not see that there is any mathematician or physicist who has written anything about tablature.
Tablature is surely a form of mathematics, is it not?
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When I receive many notifications of citations of my 1975 paper on the duality condition for quantum fields, I take a look at the new reference. But although I can roughly follow the arguments (having not worked in this field for many decades), I don't have a good sense of the context for all this work on Modular Hamiltonians, Entanglement, Conformal/AdS, etc. Where is this research heading? What large questions are these papers hoping to solve.
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Dear Joseph,
I regard your work with Eyvind Wichmann as an important mathematical discovery, whose impact on theoretical and mathematical physics was unfolded only thereafter (in the past 50 years) by other researchers. Their results reach from a profound understanding of the 'Unruh effect' over deep insights into the mathematical structure of relativistic quantum field theories (including conformal ones, questions of entanglement etc), up to novel constructive schemes for integrable models.
Your work with Eyvind in relativisti QFT combined elements of complex analysis with the theory of operator algebras. It therebye opened the door to a powerful mathematical tool: modular theory, developped by Tomita and Takesaki; Bochers spoke of the 'modular revolution' in QFT.
So here is my explanation, why your work with Eyvind is still frequently quoted:
the mathematical tools which you discovered in connection with the problem of Haag duality in QFT have proved to be useful much more generally. Yet it took some time to uncover that...
Detlev
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I and a few others have suggested turbulence plays a role in the subatomic realm.
Hamiltonian formulations become chaotic with long time. Nature does not. Newton speculated in his "Opticks" that because planet orbits did not seem to decay, the aether he was suggesting was not imparting non-conservative force on matter. Hence, it seems the Hamiltonian has some applicability.
Entropy has been observed in the universe. Basically, entropy is taking energy from interactions. Entropy should play a role in the subatomic realm. But how?
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Thank for the information Prof. John Hodge Regards.
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Taylor described harmonic motion on the string using Newtonian physics as a smooth manifold. This is absolutely unequivocal in Incremental Methods Direct and Indirect. The string field is uniform, tangent-cotangent bundles are (almost) everywhere perpendicular to the string. The curvature of the string is constant because the string always follows the shortest path.
As the first to describe the equation of harmonic motion, Taylor should get credit for the principle of least action but Euler wrote the formal integral.
But Euler said No, the curve of the string can be any continuous curve. To prove this Euler wrote a series of functions, presumably with the string modes on the monochord (kanon, or measuring rod in Greek) in mind. The use of a transcendental series is similar to Fourier harmonic analysis.
Euler and Bernoulli apparently disagreed on whether the number of terms in the series was infinite. They may have thought the series added up to 1, but Cantor showed the series in not coherent because it does not converge.
Show the question I have here is whether the string manifold is smooth or merely continuous.
First, there is no addition function on the monochord which allow two modes to add. They cannot add because they have different critical points and a point cannot be critical and not critical at the same time.
Second, if the string curve is a combination of waves with different frequency, and therefore different energy levels then those waves on the string that have higher energy will simply minimize on the fundamental.
On Research Gate and Stack-exchange (where I am an outlaw banned for life, like the Jesuits opposed to infinitesimals), I have asked perhaps a hundred questions that have never been answered.
I mean, come on! Of course Taylor was correct. It is easy to see the string manifold is smooth because manifolds cannot exist without smooth functions!
I'd like to hear from John M Lee, Pavel Grinfeld, Liviu Nicolaescu, Marco Marzzucchelli, Giuseppe Buttazzo. People who know a smooth manifold when they see one.
Just as Euler's idea became Fourier (useful but just not in music), Taylor's principle later became the Lagrangian, later Hamiltonian principle.
The string is fundamental to science so if physics and mathematicians do not understand it, what else do they have wrong?
The questions you cannot answer are the best ones.
I have attached Taylor's diagrams showing how he analyzed string motion. Even in Latin the words "cycloid" and "constant curvature" are clear.
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Not my field
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Hamilton, M. A. X. (1959). The assessment of anxiety states by rating. British journal of medical psychology, 32(1), 50-55.
Hamilton, M. (1969). Diagnosis and rating of anxiety. Br J Psychiatry, 3(special issue), 76-79.
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Nope! Happy to read anything you can point me to. Thanks!
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Recently, I am working on PT symmetric non-hermitian lattices. A PT symmetric non-hermitian Hamiltonian gives real eigenvalue spectrum in the unbroken symmetry region whereas it gives imaginary eigenvalue spectrum in the broken symmetry region. Can anyone explain why non-hermitian term appears in a system? What is the meaning of 'loss and gain' in a system? What is the significance of imaginary part of energy eigenvalue?
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Well the usual criteria of having real eigenvalues and orthogonal eigenvectors was that the hamiltonian was hermitian, ie. that it is equal to its transpose conjugate.
But if you care only about real eigenvalues, it was possible
to have non hermitian hamiltonians, called pseudo hermitian, and it is possible o orthogonalize with respect to some weight function or matrix sandwitched between the vectors.
It is then further notice that hamiltonians with symmetry under parity and time reversal symmetry also have real eigenvalues.
so the game seems to be how far you can fool the usual rules of QM using math, out of the traditional hermitian operator with orthonormal eignestates.
So far it is a mathematical physics game with not direct relavance to physics proper that I am convinced of, but its popular.
Loss or gain may mean in energy loss or gain? If so it would not be T invariant. This can also be lost with a magnetic fields.
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Currently, I am studying the MCMC and its variants, i.e., Hamiltonian MC, however, I am not sure what is the best approach to practically diagnosing the convergence and quality of MCMC samplers. At this moment, I diagnose the convergence based on the central limit theorem (CLT). I found that CLT is not the best approach to diagnose the convergence because, for Gaussian case, I can use any optimization methods which show superiority above MCMC samplers.
Kindly seek your advice in this matter.
Great thanks!
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I agree with all the previous answers, but I think I could add a couple more comments.
Generally speaking, I think the first thing to look at, is the histograms of your Quantities of Interest (QoI) for all MCMC chains. Since MCMC is independent of the initial state, if your chains have converged, then the histograms from all chains for the same QoI should overlap giving you a similar mean/median etc.
Beyond that, the R-hat criteria (compares variances between the chains) is a very good one and I have used it quite a lot. It is also very easy to implement, so that is definitely a plus.
Additionally, I have seen people using autocorrelation lags to check how independent are states of Markov chain. Plotting autocorrelation as a function of lag should estimate how many iterations of Markov chain are needed for effectively independent samples.
Last but not least, if you are working with Hamiltonian Monte Carlo, you could also look at the potential energy as a function of iterations. For example, in gradient-based minimization methods (and here I refer to local optimization techniques), we typically look at the objective function as a function of iterations to determine convergence. In the HMC, the potential energy is the negative log of the likelihood function (aka your objective function), and therefore it makes sense to look at how it is decreasing as you run the algorithm for more iterations.
Anyways, these are simply my personal suggestions/thoughts. I hope they will help!
All the best,
Maria
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The first contributions by quantum mechanics (QM) to electromagnetism (EM) were due to the work by Max Planck in postulating the photon, later by Einstein in postulating the stimulated emission of photons and in calculating the Einstein A and B coefficients, predicting the laser -- light emission by stimulated emission of radiation. See https://www.aps.org/publications/apsnews/200508/history.cfm
Macroscopically, both motion of charges and magnetic moments seem, at first, to be responsible for the magnetic field, but the B moment is made up up only by motion of charges according to special relativity (SR) ... still, there are no monopoles in nature, while QM adds the magnetic moment of particles.
Einstein first pointed it out, when he proposed SR, albeit with no QM. Using modifications by Minkowski, SR was applied by Einstein to general relativity (GR). We live in at least 4D, said Einstein. Still, GR is not compatible with QM.
But in EM, Maxwell's equations are NOT equivalent to the relativistic equations for the field strength tensor (as some presumed), because they exclude QM, such as in the Aharonov-Bohm effect and the laser.
Here, gravitoelectromagnetism (​proposed by Oliver Heaviside and further developed by Olev Jefimenko) was revealed to be incorrect and not covariant with SR (does not show Lorentz covariance), and does not include QM. Their (Heaviside and Jefimenko) ideal of electromagnetic theory therefore falls short by not accepting the rules of SR and QM. This is well-known.
Physically, GR seems right, as it agrees with Minkowski SR. One would need to use not vectors but tensors, as both sides of an equation A = A must transform equally under transformations such as rotation, mirroring, or translation. And one can also use scalars, following the formalism of the Euler-Lagrange equation. Therefore, GR was used although incompatible with QM.
Some people say that "there is no need for the Euler-Lagrange equation in mechanics, because essentially it does not go beyond Newton's laws." Yes, that is WP says, but is wrong.
Newton's laws do not include a way to add SR and QM, but the Euler-Lagrange equation does. There are flaws in Newton's laws as well (not in the Euler-Lagrange equation), some documented elsewhere, such as absolute time and "demonologically based" action-reaction.
The magnetic moment of the electron and of a neutral particle are then taken into account, properly, by adding QM and SR in the Euler-Lagrange equation -- not by adding Maxwell equations. EM seems complete with SR and QM, excluding the Maxwell equations.
In all of that one apparent lack of coherency remains -- Why is GR incompatible with QM?
We found that the answer lies not in physics per se, but in the use of conventional mathematics, which predicates a supposed Newtonian "continuity", "infinitesimal", and "infinity" that, however, do not exist in Nature -- and then we modified and extended GR to be compatible with QM, by using proper mathematics.
Constructive mathematics, such as Digital Constructivism, should be used in GR and elsewhere, where the notion of "there exists" is strictly interpreted as "can be constructed". Everywhere is digital, quantum. If the quantum does not seem digital, this is a sign that one has not reached the quantum -- still, one has a mixture. The Curry-Howard correspondence, in mathematics, indicates also that there is no continuity, and no "number" or quantity as infinite, no epsilons and deltas of Cauchy, no infinitesimals.
After a preprint period in academic circles and in RG, for open comments, our answer and proposed solution -- why modified GR is compatible with QM -- is now published, and can be seen free under Kindle Unlimited, or obtained inexpensively on ebook and paperback formats, for example at: https://www.amazon.com/dp/B07ZXRQQJX
What is your qualified opinion?
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All: For example, according to classical mechanics there can be no diamagnetism and no paramagnetism at all, using Maxwell equations. Yet, paramagnetism, diamagnetism, precessing orbits, and so on, exist in Nature.
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Imagine that we have point interacting particles, that moving according law like x(i, t+dt)=x(i,t)+f(i,j,t)*dt. Or also velocities can be included. In the limit dt -> 0 we can get equations for well known continuous case with Hamiltonian. Can we have Hamiltonian for small dt?
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The main problem I see, is that there is an approximation
involved, and that the iteration must be stable numerically, not runaway.
There are in fact some clever solutions.
Otherwise you must admit purely discrete dynamics. Hard to imagine a real system doing that.
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Hello dear users,
I am trying to simulate lysozyme in water with REST2. The temperature range I have is 300-500K and the number of replicas is 20. I have attached the mdp file and the data.out file that contains the error message here. My simulation fails after the first swap saying the potential is infinite. I believe my system should be well equilibrated because the .gro file I used to generate .tpr files for REST2 is from a 360-ns regular MD at 300K. I have also took a look at the replicas that fail and found that those who failed were involved in Hamiltonian replica exchange swap. Does anyone have any idea? Thanks in advance!
Regards,
Peiyin Lee
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Hi,
Your files look good, you should minimize your 360-ns complex before starting new calculations for any steric impediment that is present.
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My little knowledge on C -Symmetry is that .
All Hamiltonians are crashing on C but will not allow it to crash . Do you agree ?
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see
Correction to ``Hamiltonian Hopf Bifurcation with Symmetry''
Pascal Chossat, Juan-Pablo Ortega, Tudor S. Ratiu
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I was trying to calculate the eigenstate of molecularly projected self consistent Hamiltonian (MPSH) for two terminal molecular device in ATK-2016.3. The zero bias calculation can be done as it is given in the tutorials , but finite bias calculation is not there. I am looking for the bias dependent calculation. My question is that for finite bias MPSH calculation would I have to optimize the device geometry first in presence of applied bias? Please suggest me.
Thanks in advance
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Thank You very much! I have successfully calculated the bias dependent MPSH eigenstates.
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How to form a effective hamiltonian for a system starting from a Hamiltonian of the system+environment? Is there any pedagogical review available in this topic?
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In general, it is impossible to build such an effective Hamiltonian. The dynamics of the reduced system is not unitary due to the exchange of information with the environment. Even if you try and mimic this non-unitarity using a non-Hermitian Hamiltonian, you will have to face the issue of the loss of probability due to the decay of the norm of the wavefunction.
However there are some strategies that build effective quantum master equations starting from the Hamiltonian of the system+bath. You can find an excellent introduction in the book by Breuer and Petruccione, or in this Review that I studied for my Master's degree:
If you are interested in unraveling this master equations using non-Hermitian effective Hamiltonians, which however would still involve Monte Carlo averaging over a large number of trajectories, you can read about Monte Carlo wave function, here is a link to one of my recent papers on the topic. Some other references concerning the topic are included in it:
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Suppose [C,H] =/=0 where C charge conjugation operator and H is the Hamiltonian. Give physical meaning .. If above relation is zero .Give physical meaning .
B.Rath
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@Biswajoy Bramhachari
Did you read my arxiv paper .? Now you can pointout mistakes on it .
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Hi,
I have a 4x4 Hamiltonian describing a part of my system. To get a holistic view of the situation I need to do a charge inversion on the matrix. What is the 4x4 charge inversion operator? And what is the logic behind it (e.g. how is it built up, for example -i (\tau_0 direct product \sigma_y))?
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For Dirac spinors, Charge conjugation matrix is defined by,
C-1 γμ C = - γμT
Now in Dirac-Pauli representation
γ0= ((0,1),(1,0)) and γi=((0,-σi),(σi,0)
So we get
C= iγ2γ0
This is the 4x4 matrix form of the charge conjugation matrix, which acts upon 4 component spinors. In the Hamiltonian, however, spinorial indices are all contracted. After all Hamiltonian should be a Lorentz scalar.
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The main question is that how one can define the interaction Hamiltonian for the entangled particles which are far away. If it is same with the SPDC Hamiltonian, then the expectation value of the momentum <P> doesn't depend on the inter-distance between the quantum particles.
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It is true that if two particles are far away from each other,
the interaction can be considered nil. However the state that they are in tends to be conserved in the motion, this state is set by their earlier interaction. That is they may be in a two particle wave function that cannot be factored. ie. nothing
drastic in the evolution forces a change of state. That is how I think about it.
Since this is a spiny topic , there may be other ideas...
regards, juan
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In the formulation of the NMR spin Hamiltonian, it is assumed that the direct dipolar spin-spin interaction vanishes in isotropic medium (e.g. solution). This is a consequence of the direct spin-spin coupling interaction being purely anisotropic, and hence averaging to zero for a free rotating molecule. My question is about whether the same assumption holds in solid state NMR for a powder sample where all possible orientations of the molecule with respect to the field may be present as well ?
Thanks in advance. Julie.
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No in a powdered sample the dipole-dipole interaction is huge (10s of kHz typically).
That is the reason magic angle spinning is often used to try to reduce this interaction. Yes it does depend on the angle the vector between the nuclei make with the magnetic field so in a powder there will be a wide range of interactions.
Note: the interaction cannot be completely removed in solution or NOESY type spectra would not work (it is probably less that 1 Hz though).
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I have hamilton syringes two 5 and 10 microlitrres. How do I clean Hamilton's syringe?
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Hi
Tanx for you attention
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I am trying to solve a hamiltonian of an electron moving in the presence of 10 (Z=1) nuclear centres located in three dimensional place(locations are quite random and there is no symmetry in its arrangement). My hamiltonian has one kinetic energy term for the single electron and 10 nuclear attraction term of that single electron with all the fixed classical nuclear centers. After solving the Hamiltonian using LCAO method I got wave functions. How do I verify that the answer is correct ? I thought of plotting the wave functions (or probability density function) to get to know the distribution ? Is there any software or something where I can plot the wave functions or probability density function of the electron and visually see that ? The problem that I am facing here is that wavefunction is 3D and I need 4 dimensions to visualize that wave function. So how do I do that ? Can someone suggest some softwares or some reference or some other way of verifying the answers ?
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A graph G is hypohamiltonian if G does not contain a hamiltonian cycle but for any v ∈ V (G) the graph G − v does contain a hamiltonian cycle. Replacing in the preceding sentence “cycle” by “path”, we obtain the definition of a hypotraceable graph.
We call a vertex cubic if it has degree 3, and a graph cubic if all of its vertices are cubic. Consider a graph G. Two edges of G are independent if they have no common vertices. The girth of a graph is the length of its shortest cycle.
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Hi, I'm trying to extend my Matlab NEGF solver from crystal structures to molecules. All I need as inputs are:
  • the molecular Hamiltonian (H) which models the channel, that is pretty much complex wrt crystal one
  • self-energies that model the interactions between the contacts and the channel
Where I can get them? Do atomistic tools like ATK, GAMESS or Quantum Espresso provide them in a MATRIX FORMAT?
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This information is written into the .rwf file generated by Gaussian calculations. To save the .rwf file beyond the normal termination of the run, you have to explicitly name it in the input file. I recommend you send a message to Pedro A Derosa and ask him to provide more information. It is possible that MOPAC, GAMESS, etc., also provide this info.
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HP filter is widely used to decompose the trend and cyclical component but Hamilton (2017). " Why You Should Never Use the Hodrick-Prescott Filter " criticized this method. What other possible alternatives to HP method?
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Dear Monir Ahmed,
I suggest you to see some references could be the alternative, the extension or enhanced of Hodrick-Prescott Filter.
-On Enhanced Alternatives for the Hodrick-Prescott Filter - Semantic ...
-On Enhanced Alternatives for the Hodrick-Prescott Filter
-ON ADJUSTING THE HODRICK-PRESCOTT FILTER FOR THE ...
-une estimation par le filtre de Hodrick-Prescott multivarié - SciencesPo
Best regards
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It is well known that for a typical halo orbit around L1 or L2 libration point in circular restricted three-body problem its monodromy matrix has eigenvalues of the following form:
  • lambda1 > 1
  • lambda2 = 1 / lambda1 < 1
  • lambda3 = lambda4 = 1
  • lambda5 = lambda6*, |lambda5| = |lambda6| = 1
It is also well known that eigenvectors associated with lambda1 and lambda2 linearly approximate directions along the unstable and stable invariant manifolds, respectively. What about other lambdas?
As I understand, the compex pair (lambda5 and lambda6) is associated with a two-dimensional invariant subspace in which vectors rotate by the angle rho, where lambda5 = exp(i*rho). Am I right?
What about lambda3 and lambda4? Since the system of equations in CR3BP is Hamiltonian and autonomous, each periodical orbit has at least 2 eigenvalues equal to +1. So, in our case, the algebraic multiplicity is 2. What about geometric multiplicity? As I understand, there is at least one eigenvector, assotiated with 1, it is the direction along the orbit. Is it true that another independent eigenvector (if any) is directed along the family of halo orbits?
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This is an important Q.
Precise halo orbit design and optimal transfer to halo orbits from earth using differential evolution
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It is well known that there are periodical three-dimensional orbits around L1 and L2 libration points in circular restricted three-body problem called halo orbits. Existence of these orbits is justified numerically: anybody can state a system of nonlinear equations (conditions of symmetry and orthogonality to the xz plane) and solve it numerically to obtain a solution with high precision. But is there any analytical proof that these periodical orbits exist, mathematically?
As I know, existence of the Lyapunov orbits in CR3BP is a consequence of the Lyapunov's centre theorem:
  • Meyer, K. R. and Hall, G. R. (1992). Introduction to Hamiltonian Dynamical Systems and the N-Body Problem. Applied Mathematical Sciences, vol. 90. Springer-Verlag, New York.
But why halo orbits exist? Why there is an energy level at which there is a bifurcation from the planar Lyapunov orbits that gives rise to halo orbits?
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Dears,
I guess one of the best theoretical results in this direction are
M. Ceccaroni, A. Celletti and G. Pucacco, Halo orbits around the collinear points of the restricted three-body problem, Physica D 317, (2016) 28–42.
A. Celletti, G. Pucacco and D. Stella, Lissajous and Halo orbits in the restricted three-body problem, J. Non. Sci. 25, (2015) 343–370.
Computer-assisted proofs of the existence of halo orbits for wide range of mass parameters, as well as continuation and bifurcations of halo orbits for selected mass parameters are given in our recent paper submitted to CNSNS
Kind regards,
Daniel
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Hello everyone,
I have written a small code that performs linear Spin Wave for simple antiferromagnetic Heisenberg Hamiltonian. It takes spin Hamiltonian as an input and performs Holstein-Primakoff, Fourier transformations as well as linearization.
Now, I would like to extend it for the further neighbors. Now, let's say, I have a site A and a cite B, and now I add A2 and B2 sites to my model system, so that I can add, let's say, J_2*\vec{S_A}*\vec{S_A2} Heisenberg term to my initial model. Do I have to add J_1*\vec{S_A2}*\vec{S_B2} aswell? And what about the boundary conditions then?.. Also, if I add a third neighbor, I am working with a decently sized cluster already...
Also, in my case, I expect system to stay bipartite, i.e. have two magnetic sublattices. But what if I don't know what the magnetic order would be?
Thank you!
Ekaterina
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Dear Ekaterina Pärschke,
First about your last question. In the linear spin-wave approximation you are supposed to know the magnetic order (the ground state or a meta-stable state). That is because this approach consider small precession of the spins around their equilibrium orientation. If you have a set of interactions, only nearest neighbors (n.n.), or second nearest neighbors, or even other complex interactions such as the Dzyaloshinskii-Moriya, and you don't know the magnetic order, it needs to be determined first, normally with a spin dynamics algorithm (I use the https://github.com/spirit-code/spirit developed in my institute in Forschungszentrum Jülich, Germany).
Now that you have your magnetic order, you can calculate the spin-wave spectrum with as many neighbors as you want.
On calculating the spin-wave spectrum, we normally perform a Fourier transformation of the hamiltonian (more precisely of the dynamical matrix). This Fourier transformation can be done exactly and efficiently if the interactions are of short range, such as in a nearest-neighbors-only model, where we only have to sum the contribution from the site on the left, the one of the right, and a local contribution if any (this in one dimension), it could look like: H(k) = sum_j J_0j exp (i R_j k) = J exp( -a k ) + J_0 + J exp( a k ). Considering the second nearest neighbors is not much of a problem, we would have: H(k) = J_2 exp( -2 a k ) + J_1 exp( - a k ) + J_0 + J_1 exp( a k ) + J_2 exp( 2 a k ). (sorry my lack of rigor here, I just want to give you a feeling.)
So, if you have a single atom in the unit cell, you are going to get a single spin-wave mode. For two atoms, you have the right to two modes, and so on. Please notice that this has nothing to do with the number of neighbors you considering for your interactions.
I have faced these problems you are working on myself. This paper of mine might help for I give a lot of detail on the appendices:
Let me know if I can further help.
Best regards,
Flaviano dos Santos
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In one-particle, one-dimensional quantum mechanics, if the spectrum of the Hamiltonian is given, can the form of the potential be determined? For instance, can all potentials with spectrum of the form 1/(n+a)2 be determined?
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Dear Spiros,
If you work in 1-D and you consider even potentials (i.e. with P symmetry and without time dependence) as I told you previously, your question can be answered yes, except constants. In case to assume imaginary potentials with real eigenvalues, which is not mentioned by the old books devoted to QM and it is a fascinating issue, the things are much more complex needing more conditions for finding a unique potential.