Publications (187)165.93 Total impact
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ABSTRACT: We analyze a class of nonsimple exclusion processes and the corresponding growth models by generalizing Gaertners ColeHopf transformation. We identify the main nonlinearity and eliminate it by imposing a gradient type condition. For hopping range at most 3, using the generalized transformation, we prove the convergence of the exclusion process toward the KardarParisiZhang (KPZ) equation. This is the first universality result concerning interacting particle systems in the context of KPZ universality class. While this class of exclusion processes are not explicitly solvable, we obtain the exact onepoint limiting distribution for the step initial condition by using the previous result of Amir et al. (2011) and our convergence result.  [Show abstract] [Hide abstract]
ABSTRACT: Suppose the autocorrelations of realvalued, centered Gaussian process $Z(\cdot)$ are nonnegative and decay as $\rho(st)$ for some $\rho(\cdot)$ regularly varying at infinity of order $\alpha \in [1,0)$. With $I_\rho(t)=\int_0^t \rho(s)ds$ its primitive, we determine the precise persistence probabilities decay rate $$ \log\mathbb{P}(\sup_{t \in [0,T]}\{Z(t)\}<0)=\Theta\Big(\frac{T\log I_\rho(T)}{I_\rho(T)}\Big) \,, $$ thereby closing the gap between the lower and upper bounds of {NR}, which stood as such for over fifty years. We demonstrate its usefulness by sharpening recent results of {Sak} about the dependence on $d$ of such persistence decay for the Langevin dynamics of certain $\nabla \phi$interface models on $\mathbb{Z}^d$.  [Show abstract] [Hide abstract]
ABSTRACT: We extend the use of random evolving sets to timevarying conductance models and utilize it to provide tight heat kernel upper bounds. It yields the transience of any uniformly lazy random walk, on Z^d, d>=3, equipped with uniformly bounded above and below, independently timevarying edge conductances, having nondecreasing in time vertex conductances (i.e. reversing measure), thereby affirming part of [ABGK, Conj. 7.1].  [Show abstract] [Hide abstract]
ABSTRACT: We study the fluctuation of the Atlas model, where a unit drift is assigned to the lowest ranked particle among a semiinfinite ($ \mathbb{Z}_+ $indexed) system of otherwise independent Brownian particles, initiated according to a Poisson point process on $ \mathbb{R}_+ $. In this context, we show that the joint law of ranked particles, after being centered and scaled by $t^{1/4}$, converges as $t \to \infty$ to the Gaussian field corresponding to the solution of the additive stochastic heat equation on $\mathbb{R}_+$ with Neumann boundary condition at zero. This allows us to express the asymptotic fluctuation of the lowest ranked particle in terms of a $ \frac{1}{4} $fractional Brownian motion. In particular, we prove a conjecture of Pal and Pitman (2008) about the asymptotic Gaussian fluctuation of the ranked particles.  [Show abstract] [Hide abstract]
ABSTRACT: For Erd\H{o}sR\'enyi random graphs with average degree $\gamma$, and uniformly random $\gamma$regular graph on $n$ vertices, we prove that with high probability the size of both the MaxCut and maximum bisection are $n\Big(\frac{\gamma}{4} + {{\sf P}}_* \sqrt{\frac{\gamma}{4}} + o(\sqrt{\gamma})\Big) + o(n)$ while the size of the minimum bisection is $n\Big(\frac{\gamma}{4}{{\sf P}}_*\sqrt{\frac{\gamma}{4}} + o(\sqrt{\gamma})\Big) + o(n)$. Our derivation relates the free energy of the antiferromagnetic Ising model on such graphs to that of the SherringtonKirkpatrick model, with ${{\sf P}}_* \approx 0.7632$ standing for the ground state energy of the latter, expressed analytically via Parisi's formula.  [Show abstract] [Hide abstract]
ABSTRACT: We consider the quadratic optimization problem $$F_n^{W,h}:= \sup_{x \in S^{n1}} ( x^T W x/2 + h^T x )\,, $$ with $W$ a (random) matrix and $h$ a random external field. We study the probabilities of large deviation of $F_n^{W,h}$ for $h$ a centered Gaussian vector with i.i.d. entries, both conditioned on $W$ (a general Wigner matrix), and unconditioned when $W$ is a GOE matrix. Our results validate (in a certain region) and correct (in another region), the prediction obtained by the mathematically nonrigorous replica method in Y. V. Fyodorov, P. Le Doussal, J. Stat. phys. 154 (2014).  [Show abstract] [Hide abstract]
ABSTRACT: We consider recurrence versus transience for models of random walks on domains of $\mathbb{Z}^d$, in which monotone interaction enforces domain growth as a result of visits by the walk (or probes it sent), to the neighborhood of domain boundary. 
Article: Nonlinear large deviations
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ABSTRACT: We present a general technique for computing large deviations of nonlinear functions of independent Bernoulli random variables. The method is applied to compute the large deviation rate functions for subgraph counts in sparse random graphs. Previous technology, based on Szemer\'edi's regularity lemma, works only for dense graphs. Applications are also made to exponential random graphs and threeterm arithmetic progressions in random sets of integers.  [Show abstract] [Hide abstract]
ABSTRACT: Suppose that ${\mathcal G}$ is a finite, connected graph and $X$ is a lazy random walk on ${\mathcal G}$. The lamplighter chain $X^\diamond$ associated with $X$ is the lazy random walk on the wreath product ${\mathcal G}^\diamond = {\mathbb Z}_2 \wr {\mathcal G}$, the graph whose vertices consist of pairs $(\underline{f},x)$ where $\underline{f}$ is a $\{0,1\}$labeling of the vertices of ${\mathcal G}$ and $x$ is a vertex in ${\mathcal G}$. In each step, $X^\diamond$ moves from a configuration $(\underline{f},x)$ by updating $x$ to $y$ using the transition rule of $X$, and if $x \ne y$, replacing $f_x$ and $f_y$ by two independent uniform random bits. The mixing time of the lamplighter chain on the discrete torus ${\mathbb Z}_n^d$ is known to have a cutoff at a time asymptotic to the cover time of ${\mathbb Z}_n^d$ if $d=2$, and to half the cover time if $d \geq 3$. We show that the mixing time of the lamplighter chain on ${\mathcal G}_n(a)={\mathbb Z}_n^2 \times {\mathbb Z}_{a \log n}$ has a cutoff at $\psi(a)$ times the cover time of ${\mathcal G}_n(a)$ as $n \to \infty$, where $\psi$ is a weakly decreasing map from $(0,\infty)$ onto $[1/2,1)$. In particular, as $a > 0$ varies, the threshold continuously interpolates between the known thresholds for ${\mathbb Z}_n^2$ and ${\mathbb Z}_n^3$. Perhaps surprisingly, we find a phase transition (nonsmoothness of $\psi$) at the point $a_*=\pi r_3 (1+\sqrt{2})$, where high dimensional behavior ($\psi(a)=1/2$ for all $a>a_*$) commences. Here $r_3$ is the effective resistance from $0$ to $\infty$ in ${\mathbb Z}^3$.  [Show abstract] [Hide abstract]
ABSTRACT: For normally reflected Brownian motion and for simple random walk on growing in time ddimensional domains, d>=3, we establish a sharp criterion for recurrence versus transience in terms of the growth rate. 
Article: On level sets of Gaussian fields
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ABSTRACT: In this short note, we present a theorem concerning certain "additive structure" for the level sets of nondegenerate Gaussian fields, which yields the multiple valley phenomenon for extremal fields with exponentially many valleys.  [Show abstract] [Hide abstract]
ABSTRACT: We analyze a class of nonsimple exclusion processes and the corresponding growth models by generalizing Gaertners ColeHopf transformation. We identify the main nonlinearity and eliminate it by imposing a gradient type condition. For hopping range at most 3, using the generalized transformation, we prove the convergence of the exclusion process toward the KardarParisiZhang (KPZ) equation. This is the first universality result concerning interacting particle systems in the context of KPZ universality class. While this class of exclusion processes are not explicitly solvable, we obtain the exact onepoint limiting distribution for the step initial condition by using the previous result of Amir et al. (2011) and our convergence result.  [Show abstract] [Hide abstract]
ABSTRACT: We prove a Large Deviations Principle (LDP) for systems of diffusions (particles) interacting through their ranks, when the number of particles tends to infinity. We show that the limiting particle density is given by the unique solution of the approriate McKeanVlasov equation and that the corresponding cumulative distribution function evolves according to the porous medium equation with convection. The large deviations rate function is provided in explicit form. This is the first instance of a LDP for interacting diffusions, where the interaction occurs both through the drift and the diffusion coefficients and where the rate function can be given explicitly. In the course of the proof, we obtain new regularity results for a certain tilted version of the porous medium equation.  [Show abstract] [Hide abstract]
ABSTRACT: We show that the empirical eigenvalue measure for sum of $d$ independent Haar distributed $n$dimensional unitary matrices, converge for $n \to \infty$ to the Brown measure of the free sum of $d$ Haar unitary operators. The same applies for independent Haar distributed $n$dimensional orthogonal matrices. As a byproduct of our approach, we relax the requirement of uniformly bounded imaginary part of Stieltjes transform of $T_n$ that is made in [Guionnet, Krishnapur, Zeitouni; Theorem 1].  [Show abstract] [Hide abstract]
ABSTRACT: Consider random polynomial $\sum_{i=0}^n a_i x^i$ of independent meanzero normal coefficients $a_i$, whose variance is a regularly varying function (in $i$) of order $\alpha$. We derive general criteria for continuity of persistence exponents for centered Gaussian processes, and use these to show that such polynomial has no roots in $[0,1]$ with probability $n^{b_\alpha+o(1)}$, and no roots in $(1,\infty)$ with probability $n^{b_0+o(1)}$, hence for $n$ even, it has no real roots with probability $n^{2b_\alpha  2b_0+o(1)}$. Here $b_\alpha =0$ when $\alpha \le 1$ and otherwise $b_\alpha \in (0,\infty)$ is independent of the detailed regularly varying variance function and corresponds to persistence probabilities for an explicit stationary Gaussian process of smooth sample path. Further, making precise the solution $\phi_d(x,t)$ to the $d$dimensional heat equation initiated by a Gaussian white noise $\phi_d(x,0)$, we confirm that the probability of $\phi_d(x,t)\neq 0$ for all $t\in [1,T]$, is $T^{b_{\alpha} + o(1)}$, for $\alpha=d/21$.  [Show abstract] [Hide abstract]
ABSTRACT: We provide an explicit formula for the limiting free energy density (logpartition function divided by the number of vertices) for ferromagnetic Potts models on uniformly sparse graph sequences converging locally to the dregular tree for d even, covering all temperature regimes. This formula coincides with the Bethe free energy functional evaluated at a suitable fixed point of the belief propagation recursion on the dregular tree, the socalled replica symmetric solution. For uniformly random dregular graphs we further show that the replica symmetric Bethe formula is an upper bound for the asymptotic free energy for any model with permissive interactions.  [Show abstract] [Hide abstract]
ABSTRACT: We consider the ferromagnetic Ising model on a sequence of graphs $G_n$ converging locally weakly to a rooted random tree. Generalizing [Montanari, Mossel, Sly '11], under an appropriate "continuity" property, we show that the Ising measures on these graphs converge locally weakly to a measure, which is obtained by first picking a random tree, and then the symmetric mixture of Ising measures with + and  boundary conditions on that tree. Under the extra assumptions that $G_n$, of uniformly bounded degrees, are edgeexpanders, and ergodicity of the simple random walk on the limiting tree, we show that the local weak limit of the Ising measures conditioned on positive magnetization, is the Ising measure with + boundary condition on the limiting tree. We confirm the "continuity" and ergodicity properties in case of limiting (multitype) Galton Watson trees, and the edgeexpander property for the corresponding configuration model graphs. 
Article: Persistence of iterated partial SUMS
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ABSTRACT: Let $S_n^{(2)}$ denote the iterated partial sums. That is, $S_n^{(2)}=S_1+S_2+ ... +S_n$, where $S_i=X_1+X_2+ ... s+X_i$. Assuming $X_1, X_2,....,X_n$ are integrable, zeromean, i.i.d. random variables, we show that the persistence probabilities $$p_n^{(2)}:=\PP(\max_{1\le i \le n}S_i^{(2)}< 0) \le c\sqrt{\frac{\EES_{n+1}}{(n+1)\EEX_1}},$$ with $c \le 6 \sqrt{30}$ (and $c=2$ whenever $X_1$ is symmetric). The converse inequality holds whenever the nonzero $\min(X_1,0)$ is bounded or when it has only finite third moment and in addition $X_1$ is squared integrable. Furthermore, $p_n^{(2)}\asymp n^{1/4}$ for any nondegenerate squared integrable, i.i.d., zeromean $X_i$. In contrast, we show that for any $0 < \gamma < 1/4$ there exist integrable, zeromean random variables for which the rate of decay of $p_n^{(2)}$ is $n^{\gamma}$.  [Show abstract] [Hide abstract]
ABSTRACT: We consider homogeneous factor models on uniformly sparse graph sequences converging locally to a (unimodular) random tree T, and study the existence of the free energy density phi, the limit of the logpartition function divided by the number of vertices n as n tends to infinity. We provide a new interpolation scheme and use it to prove existence of, and to explicitly compute, the quantity phi subject to uniqueness of a relevant Gibbs measure for the factor model on T. By way of example we compute phi for the independent set (or hardcore) model at low fugacity, for the ferromagnetic Ising model at all parameter values, and for the ferromagnetic Potts model with both weak enough and strong enough interactions. Even beyond uniqueness regimes our interpolation provides useful explicit bounds on phi. In the regimes in which we establish existence of the limit, we show that it coincides with the Bethe free energy functional evaluated at a suitable fixed point of the belief propagation (Bethe) recursions on T. In the special case that T has a GaltonWatson law, this formula coincides with the nonrigorous "Bethe prediction" obtained by statistical physicists using the "replica" or "cavity" methods. Thus our work is a rigorous generalization of these heuristic calculations to the broader class of sparse graph sequences converging locally to trees. We also provide a variational characterization for the Bethe prediction in this general setting, which is of independent interest. 
Article: Persistence of iterated partial sums
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ABSTRACT: Let p_n denote the persistence probability that the first n iterated partial sums of integrable, zeromean, i.i.d. random variables X_k, are negative. We show that p_n is bounded above up to universal constant by the square root of the expected absolute value of the empirical average of {X_k}. A converse bound holds whenever P(X_1>t) is up to constant exp(b t) for some b>0 or when P(X_1>t) decays superexponentially in t. Consequently, for such random variables we have that p_n decays as n^{1/4} if X_1 has finite second moment. In contrast, we show that for any 0 < c < 1/4 there exist integrable, zeromean random variables for which the rate of decay of p_n is n^{c}.
Publication Stats
6k  Citations  
165.93  Total Impact Points  
Top Journals
Institutions

19882015

Stanford University
 • Department of Mathematics
 • Department of Statistics
 • Information Systems Laboratory
Stanford, California, United States


19841995

Technion  Israel Institute of Technology
 Electrical Engineering Group
H̱efa, Haifa District, Israel


19871990

Brown University
 Department of Applied Mathematics
Providence, Rhode Island, United States


1989

AT&T Labs
Austin, Texas, United States
