Questions related to Mathematics
using BTE how do we get mobilities and conductivity ,more calculation(mathematics) oriented answers would be helpful.
Physical reality can be observed. At least part of the structure and behavior of physical reality is perceivable. Humans can communicate about these experiences. Curious humans want to comprehend these perceptions. Humans have designed linguistic tools to be able to communicate about the perceived structure and behavior of physical reality and with these tools, they have constructed structures and models of mechanisms that might explain the perceived structures and mechanisms that physical reality exposes. Some of these structures and models of mechanisms seem to be successful. People discuss the success of these approaches and call this activity exact science. Other humans discuss this activity and call themselves philosophers. Humans are interested in the structure and mechanisms of physical reality because this knowledge helps them survive as individuals and as communities. Part of the exact sciences is formed by mathematics. Mathematics contains structures and models of mechanisms that are not directly derived from perceptions of physical reality. These concepts are derived from abstract foundations. Examples are empty space and point-like objects. Scientists use these concepts to construct vector spaces, number systems, and coordinate systems. The scientists apply these higher-level concepts to construct a model of their living space. The philosophers will immediately indicate that it is impossible to prove that these models are correct. However, these models feature structure and behavior. If the structure and behavior of the models agree more with the perceived models and behavior, then there is a larger chance that the model fits reality. Since reality appears to be very complicated, little chance exists that good correspondence will ever end the dispute.
One of the aspects of the dispute concerns what the best inroad will be for comprehending most of the structure and the mechanisms of physical reality. That is the background of the posed question.
Dear colleagues, I would like to know if there is a mathematical equation or model to calculate the Soxhlet number of cycles by varying the following parameters:
- the type of solvent
- the volume of the extractor
- the temperature of the solvent heating
if yes how can we apply it? and how much uncertainty it has?
thank you so much
such as Fourier , Hilbert or Laplace transforms in order to analysis and studies in the field of music acoustics.
Please look at the mathematical construction of theta and zeta functions in the representation of a winding sphere. In this paper, based on the representation of the winding of a sphere, we construct a proof of the Riemann hypothesis of nontrivial zeros. Could you check this proof?
Preprint Chaotic dynamics on the sphere
Preprint Хаотическая динамика на сфере
I need to find a method of proving a mathematical equation that exist in attached file.
This mathematical equation is about Bessel function.
I will be thankful to hear your helps and advises.
I want to center (subtract the mean) my data in order to lower my intercept (as close as possible to zero). However, as I have categorical data as well, which I don't know how I can possibly center, I can't seem to lower my intercept.
And the thing is that my dummy variable drive up the intercept... So I don't know to fix the issue.
When I enter only continuous variables that are centered, the intercept is close to zero.
I thank you in advance?
I hope you are all doing well. I have a question to all of you. I love to teach and so far I have been teaching everything from international business, marketing, management to organisational psychology. I feel ambivalent towards this however.I love to teach and Im curious in my nature and what better way to learn new things than to teach? However I also feel that if I continue being a generalist It might also be bad since I risk loosing touch with my main specialisation.
What are your thoughts? Your experiences?
My speciality is this :
Best wishes Henrik and professor Hugo 3 months old who keeps me company when Im trying to work :-)
Ps stay safe.
I have seen that some equation sets have an explicit way of defining the substrate consumption whereas others have an implicit way. I would like to know how to convert the former into the latter.
For instance, in the attached file, it can be seen that there are two ways to describe the growth of bacteria.
In the first (explicit), the presence of a half-saturation constant suggests that the model is a Michaelis-Menten case. The second is straight a logistic model.
I was wondering if I can convert the first into the second, that is explicit to implicit.
Considering that the Monod term says that
μ = μᵢ[S/(S + K)]
then I can write
Ṅ = μN * logistic term
My question is: Would this modification be mathematically and biologically sound?
If yes, how can I estimate the carrying capacity? For instance, if I know the amount of limiting substance, can I estimate the number of cells that a system can sustain?
I'm working on constructing a field based on finite undirected and unlabeled graphs. I've selected graph join and graph Cartesian product. But I'm trying to figure out if the latter distributes over the former (or simple graph union).
I want to know how we can relate magnetostriction with Applied magnetic field mathematically? Or if there is any way to derive it using mechanical equations?
The field equations originally starting as Maxwell distributions graphs configure a velocity variable. Understanding that in connection to wave theory requires a mathematical transformation of velocity variable into wave function parameter. This may help mathematically to define particle wave quantum relativity quantitatively. Legendre transform theoretically will have a way to provide link among functionality of parameter-variable systems.
There is a contradiction between the natural width of the energy transition, which is determined by the lifetime at the corresponding energy level and the spectral line width of the radiation line, which is determined by the duration of the wave train.
For example: For the Mössbauer transition, whose lifetime is of the order of 2 years, while the interaction time at the receiving end is about 10^(-10) sec.
Mathematically, this interaction is expressed by the Feynman diagram of the electron - electron interaction, which integrates over the internal photon line, which, together with the delta functions of the vertex parts, limits the photon spectrum.
By the way, the same paradox applies to any other type of collision.
So, is exist (really) the electromagnetic field?
When we derive the formula for length contraction, we use the direct Lorentz transformation. But for solving the formula for time dilation, we use the inverse transformation. Why is that so?
A question from far away worlds...Life Sciences (cricket) and an hyperbolic function from history of mathematics are trivially juxtaposed to encourage whatever reply.
[The antennas of the cricket roughly complete the less frequently represented branches of the hyperbola in the photographed virtual third and fourth quadrant of the Cartesian coordinate system].
They say the best educators are able to make a complex subject easily understood by a child. Perhaps this is a challenge to us all.
Quarternion mathematics can be quite complex to wrap your head around. For educators out there how are you explaining this to your students from high school.
Is a pictorial method the most appropriate under these circumstances.
Mathematics is the basis of exact sciences. The development of mathematics consists in the fact that, among others, new phenomena of the surrounding world, which until recently were only described in the humanistic perspective, are also interpreted in mathematical terms.
However, is it possible to write down the essence of artistic creativity in mathematical models and create a pattern model for creating works of art, creative solutions and innovative inventions? If that was possible, then artificial intelligence could be programmed to create works of art, creative solutions and innovative inventions. Will it be possible in the future?
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Will mathematics help to improve artificial intelligence so that it will achieve human qualities of artistic creativity and innovation?
I invite you to the discussion
what are other possible ways to convert a CW laser to a pulsed laser. Please give all the theoretical and mathematical details.
More specifically I am looking to analyze and plot non-michaelian kinetics based on functional parameters from BRENDA or similar sites. I do not know how to find the mathematical function describing such kinetics and have not yet been able to find it in the literature.
I would greatly appreciate any help from the community!
I want to know that how to find theta maximum when i am using GPS and sphere and surface type distribution. and using cosine distribution.
then i want to know that is there any mathematical calculation to find theta maximum for biasing.
like in the Geant4/examples/advanced/radio-protection theta maximum is 0.003 deg. how they got this using the surface area of source or object. like how can i get for my object ?
any type of help will be appreciated.
Thanks in advance !
- An understanding of theories about how people learn, and the ability to apply these theories in teaching mathematics; It is one of the primary requirements for effective teaching of mathematics, and a large number of scientists have studied mental development and the nature of learning in different ways, and this resulted in various theories of learning.
Question about the loss of hyperbolicity in nonlinear PDE: when complex eigenvalues appear, what is the effect on flow? I understand that we do not have general results on existence in this case, but is it only the mathematical tools that are lacking where can we show physical phenomena of instability?
Different longitudinal studies, such as the Perry Preschool Project or the Abecedarian Project, have shown that early and effective exposure to different content in ECE students, as science or maths, cause positive effects in children later development not only in academical sphere, but also in personal, social and economic ambits.
I attached an image file of excel data in which the problem is to predict the value of u by using any mathematical method.so, please share me the procedure or method to be followed to solve the problem.thank you in advance.
Hi all, I am looking for a patterning assessment to use as a pre- and post-test alongside a patterning intervention in mathematics for 7 to 9 year old children.
I know of PASA by JT Mulligan, are there any others?
Thanks in advance for your help!
Although there is a reasonable dose of physical and geometrical interpretation of the mathematical formulas and equations, more work is needed to bridge the gap between the theory of mathematics and its applications. For example, let us look to the coplanarity of three vectors, which are typically expressed as a dot and cross products between the three vectors. Based on practical feed back, when the explanation of the coplanarity is broken down into cross product first to generate a perpendicular vector and then then do the do product with the third vector, which is now expressed an orthogonality relationship between two vectors a deeper understanding can be achieved by the students. Indeed more class work is required to take the students through this journey using a step wise approach. I do believe that the teaching of mathematics to engineering students should go to a deeper physical interpretation to facilitate its comprehension and understanding. Your comments are highly appreciated.
The gyroscope is quoted as a mathematical gyroscope, that is, the intersecting lines of the equator and one meridian. The permissible movements of our mathematical gyroscope are the proper rotations of the equator and meridian circles and the rotation of the entire structure around the axis passing through the intersection points of the two circles. Since the proper rotations of the circles are specified by the group of diagonal matrices with complex units, and the rotation of the entire structure is specified by the group of special orthogonal matrices, it is expected that the group of motions of the mathematical gyroscope generated by these groups is equal to the unitary group U(2).
It is clear that this construction has a generalization in the form of a mathematical gyroscope of the n-dimensional sphere, which generates the group U(n). Does this construction find application in phenomenological theories of gauge symmetries?
I am looking at glacier change in the Andes. I am using SPSS for my statistics. I have been provided with discharge data also, for which I would need to look for a relationship between glacier area, temperature, and river flow over a specific time period of 7 years. Temperature is given in daily minimum/maximums, river flow is monthly, and area change is yearly. Thanks :)
Dear colleagues, what do you think of a possible mathematical analogy between a one-sided surface and a Bose-Einstein condensate?
Hi everyone! Greetings from Munich!
It appears in my mediation analysis, that X is negatively related to M, and M is positively related to Y. Also, i find a significant negative effect of X on Y through M. But since M is determined as a perceived benefit, i am currently struggling with the interpretation of this indirect effect.
Mathematically, of course, this indirect effect result makes sense since "- x + = -", but can i interpret this by saying the benefit is overridden or is it rather that the benefit "backfires" on Y and thus a negative indirect is found?
Many thanks in advance!
Nonlinear mixed-effects models (may) consider data below the limit of quantification (BLQ) in parameter estimation. However, an evaluation of the goodness-of-fit plots (observations vs predictions in particular, using spline interpolation), displays a strong trend (of spline interpolation, but not of the data) in the region of censored data, as if the model disregarded BLQ data and the data were the lower limit of quantification itself, as structured in the database. I believe that the database is structured correctly and that the model considered the censored interval. Apparently this plot is the only one to exhibit this behavior.
Is spline interpolation adequately representing the competence/capability of the final model in this case? How to handle this situation?
I'm looking for referents / references about how/if learning mathematic language prior to grammar impacts comprehension ad interpretation abilities.
Another route but similar purpose, is to understand if enhancing adults' skills on mathematical language understanding can have any impact on the development of their speaking and writing skills.
Does anyone know of any studies, papers around this?
Is there any mathematical equation to determine the appropriate number of hidden layers for a sequential model?
In literature two formulae are generally used for evaluating Gravimmetric power density (Pd)
1. Pd (W/Kg) = Energy density (Whr/kg) x 3600/ discharge time (s) and
2. Pd (W/Kg) = [106 x V2]/[4 x ESR (Ohm) x mass (mg)]
But it has been found that each equation gives different result for any known value of current density. What may be the reason for it? Which equation is to be used for determining the power density of two electrode supercapacitor?
is there a deeper fundamental property of neutrino oscillations? How does it work at the field level? is there any advanced mathematical connection or is only a physical fact?
I designed and made a rotary atomizer with the help of 3D printing. Now, in order to evaluate its performance, I want to measure the diameter of the produced droplets. According to mathematical calculations and theory, the diameter of the droplets is about 100 microns and I want to measure the diameter experimentally.
Please help me in this way how to experimentally measure the diameter of a drop that is produced continuously.
Maybe a stupid question, but I forgot how to calculate such things. Let's say I have a group of 200 elements (genes). I want to divide this group into n subgroups, each containing 10 elements. However, each element should be present in more than one subgroup. Is there a cool formula to calculate n depending on the number of times each element should be present in independet subgroups?
I got confused when I plotted the graph of -(x^2 - x)^(2/3). the graph shows the function achieves its maxima at x =0 and x =1 but when we follow the procedure of derivatives then we get x = 0.5. Please help me in this.
I'm solving differential equation.
u'(x) = a11(x)*u(x) + a12(x)*v(x)
v'(x) = a21(x)*u(x) + a22(x)*v(x)
or simply, U'=AU.
Given A(or, a11/a12/a21/a22) as a function of x, i want general solution for u & v.
Solution for constant A is already known, using matrix-exponential.
But this case, this is for given matrix A as a function!!!, and I found out that the same approach is not valid by my hand.
Hope any keyword or references to go further....please.
Hi everyone. recently I designed a customized semantic segmentation network with 31 layers and SGDM optimation to segment plant leaf regions from complicated backgrounds. can anyone help me how to explain this with mathematical expressions using image processing. thank you
I have the x,y data of two curves (solid red and blue in the attached image) and I want to find out the envelope function of the two (dashed magenta curve in the attached image). Is there a way to do it in Origin or Igor? Or in any other mathematical software for instance?
I want to integrate two carbon fiber materials together and want to model it mathematically considering the processes of joining the materials and the possible stress around the joints due to external loads.
I will appreciate if someone can recommend and the numerical methods which one is better suited for this purpose.
Thank you all in advance
In the recent paper which has been exhibited in the 51th Annual Iranian Mathematics Conference entitled "Notes on maximal subrings of rings of continuous functions" we give some
properties of maximal subrings of some classes of subrings of C(X). However, we could not answer the following two important questions in this context.
1. Is every maximal subring of C(X) unit-free (i.e., whenever R is a maximal subring of C(X) and
f is an element of R with empty zero-set, then f is a unit of R)?
2. Is every maximal subring of C(X) uniformly closed (i.e., closed under uniform topology on C(X))?
I would be very delighted if you could let me your opinion about any ideas towards approaching the answers of these questions.
Can you just assume a situation with no figures or data to back it ? Is it reasonable?
#Logic #mathematics #data
As it is well known, Linked Opend Data (LOD) and computational ontologies have great success in the fields of Life Sciences (Biology, Medicine, etc). See e.g. the big LS-cluster at <https://lod-cloud.net/>.
However, I wonder why mathematics are – in comparison – covered only sparsely by ontologies or LOD.
Indicators (to the best of my current knowledge):
- https://lod-cloud.net/datasets?search=mathematics retrieves only one result. This links to http://msc2010.org/mscwork/ which seems outdated and contains several broken (404) links.
- Since http://ksl-web.stanford.edu/knowledge-sharing/papers/engmath.html (Gruber and Olsen) there seems to be no attempt for ontological modelling of mathematics as a whole (or at least a significant portion of it).
- https://www.ebi.ac.uk/ols/ontologies gives only one hit for "math" (in browser search)
- there is no "math*" tag on https://lov.linkeddata.es/dataset/lov/vocabs?&tag_limit=0 (but there is "biology" or "geography" or "geometry")
Probably there is some (machine-processable) formalization of mathematical knowledge but it seems almost disconnected from the "semantic web" and LOD-bubble.
- Why is this?
- Should this be changed?
- If 2., how?
I shared the picture of three parameters 1.Change in Temperature, 2. Change in Relative Humidity, 3. Change in Pressure and respective error value for that.
From the attached data(picture and excel file attached), I need to find the Error value for different input parameter.
1.Change in Temperature = 1°C
2. Change in Relative Humidity = 1%
3. Change in Pressure = 1mbar
What is the error value?
1.Change in Temperature = 2°C
2. Change in Relative Humidity = 2%
3. Change in Pressure = 2mbar
What is the error value?
1.Change in Temperature = 4°C
2. Change in Relative Humidity = 3%
3. Change in Pressure = 2mbar
What is the error value?
Is it possible to find the error value by mathematics. Please tell the way to calculate using calculator or python programming.
Teaching Mathematics at school to all students is commonly justified by the opinion that it improves their problem-solving skills and "makes them smarter" (whichever measure is implied by this). I wonder a few things about this:
1) If there is a clear empirical support for this opinion. Does that evidence answer the question of the causality direction between learning maths and cognitive ability? Recommendations on good literature about this would be appreciated too.
2) Do the abilities students develop improve performance for solving problems that are non explicitly mathematical. For example - learning volumes of 3D shapes could improve spatial navigation.
3) And importantly, are these improvements particularly due to teaching maths? E.g. for the previous example - wouldn't learning world maps in a geography class or spatial maze tasks develop spatial navigation more efficiently than learning calculation of volumes?
I need to write a MATLAB code that has the ability to process a GIS image in order to extract the coordinates of the grid points within the red region (R) and that are at least distance "d" from its boundary. Each point in the R is given a weight w1 (attached figure). The same procedure is to be made for the green region (G) but w2 is the weight of any point in G. The gathered data are saved in a matrix formed of three rows: row 1 contains the abscissa, row 2 contains the ordinate, and row 3 the weight.
I am looking forward to getting your suggestions...thanks in advance.
Does anybody know about an mathematical optimization model which combines vendor managed inventory with fixed lot-sizes for production? That is, a model that performs a simultaneous production and delivery (transportation) planning with respect to production and transportation lot sizes.
So the keyfigures should be fixed lot-sizes for production, transportation assets, capacities and costs from vendor to VMI-stock, known demand on customer (retailer) side and inventory restrictions for the VMI-stock.
It will be also helpful if you just know about any paper or similiar which has recognized this problem.
In daily life single period and multi period inventory system is very necessary things. When the selling period is fixed that is we cant sell things outside that fixed time then it is called may be single period. Lets talk about it what is the actual definition.
We know many largest numbers as googol number(=10^100), googolplex number(=10^googol), and other unimaginable large numbers.
What is the largest known number that is the result of solving a problem in physics or mathematics?
Are they really practical or just based on conjecture?
Most plagiarism checkers don’t work because they cannot check equations and theorems which are the fundamental core of a mathematics article.
Dear Colleagues and Authors,
plenty of problems in mathematics, economics, physics, biology, chemistry, and engineering, e.g., optics, radar, acoustics, communication theory, signal processing, medical imaging, computer vision, geophysics, oceanography, astronomy, remote sensing, natural language processing, machine learning, non-destructive testing, and other disciplines, can be reduced to solving an inverse problem in an abstract space, e.g., in Hilbert and Banach spaces. Inverse problems are called that because they start with the results and then calculate the causes. Solving inverse problems is a non-trivial task that involves many areas of Mathematics and Techniques. In cases where the problem is ill-posed, small errors in the data are greatly amplified in the solution, and therefore, regularization techniques using parameter choice rules with optimal convergence rates are necessary.
Currently, I am editing a special issue on "Numerical Analysis: Inverse Problems – Theory and Applications 2021" with a Switzerland-based "Mathematics" MDPI Journal.
I would like to draw your attention to this possibility of submitting research articles:
Please let me know if you need any help.
Thank you for your kind consideration,
It is known in a input / output feedback linearization control that in a closed loop the physical state of the system is transformed into a linear mathematical state, which we have to stabilize by a linear auxiliary control, this linear mathematical state must be obtained, either by successive derivations of its outputs which is not recommended in case of implementation, or by a Luenberger observer.
In this question we want to know how demonstrate that this stabilizing linear control of the closed loop system can be developed via the physical state estimated by a nonlinear Thau observer.
Is there a mathematical equation or formula to find the extinction coefficient or absorption coefficient of a thin layer based on transmittance or from the refractive index of the material?
While calculating channel capacity, I wish to know how path loss directly or indirectly affects the Bandwidth. Is there any mathematical relationship in this regard?
Conversely, what attributes of the physical universe do attributes of the natural logarithm model?
For example, the exponential function based on the natural logarithm has itself as its derivative. That seems to model aspects of the physical universe.
What are other math-physics correspondences for the natural logarithm?
I am interested in broadening my understanding of the physical assumptions needed to simplify its mathematical description. From these assumptions i will to choose a suitable turbulence model to run the simulation in Ansys.
The problem is fairly basic;
Inlet flow conditions: Velocity in= 44.2 m/s, Mach number inlet = 0.128, atmospheric total pressure and temperature. Turbulent boundary layer thickness @ 4H upstream of the step is 1.9 cm.
Outlet flow conditions: Fully developed flow.
Any advice would be much appreciated