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Diluted mean-field models are spin systems whose geometry of interactions is induced by a sparse random graph or hypergraph. Such models play an eminent role in the statistical mechanics of disordered systems as well as in combinatorics and…

Discrete Mathematics · Computer Science 2018-03-14 Amin Coja-Oghlan , Charilaos Efthymiou , Nor Jaafari , Mihyun Kang , Tobias Kapetanopoulos

In this work, we derive a result of exponential stability for a coupled system of partial differential equations (PDEs) which governs a certain fluid-structure interaction. In particular, a three-dimensional Stokes flow interacts across a…

Analysis of PDEs · Mathematics 2014-03-26 George Avalos , Francesca Bucci

We give a short proof that low-temperature dynamics for the Sherrington-Kirkpatrick model have mixing time exponential in the system size, based on the recently proved existence of gapped spin configurations by (Minzer-Sah-Sawhney 2023,…

Probability · Mathematics 2025-12-10 Mark Sellke

This paper introduces a concept of approximate spectral gap to analyze the mixing time of Markov Chain Monte Carlo (MCMC) algorithms for which the usual spectral gap is degenerate or almost degenerate. We use the idea to analyze a class of…

Computation · Statistics 2019-08-26 Yves F. Atchadé

Motivated by very large-scale communication networks, we newly introduce exponentiation of graphs. Using the exponential operation on graphs, we can construct various graphs of multi-exponential order with logarithmic diameter. We show that…

Combinatorics · Mathematics 2025-01-28 Toru Hasunuma

We study the performance of Markov chains for the $q$-state ferromagnetic Potts model on random regular graphs. It is conjectured that their performance is dictated by metastability phenomena, i.e., the presence of "phases" (clusters) in…

We show that the recently introduced classical Arnol'd cat map lattice field theories, which are chaotic, are exponentially mixing to all orders. Their mixing times are well-defined and are expressed in terms of the Lyapunov exponents, more…

High Energy Physics - Theory · Physics 2025-03-25 Minos Axenides , Emmanuel Floratos , Stam Nicolis

We present local mappings that relate the marginal probabilities of a global probability mass function represented by its primal normal factor graph to the corresponding marginal probabilities in its dual normal factor graph. The mapping is…

Machine Learning · Statistics 2022-08-11 Mehdi Molkaraie

One major open conjecture in the area of critical random graphs, formulated by statistical physicists, and supported by a large amount of numerical evidence over the last decade [23, 24, 28, 63] is as follows: for a wide array of random…

Probability · Mathematics 2017-01-17 Shankar Bhamidi , Remco van der Hofstad , Sanchayan Sen

We consider the Ising, and more generally, $q$-state Potts Glauber dynamics on random $d$-regular graphs on $n$ vertices at low temperatures $\beta \gtrsim \frac{\log d}{d}$. The mixing time is exponential in $n$ due to a bottleneck between…

Probability · Mathematics 2025-05-22 Reza Gheissari , Allan Sly , Youngtak Sohn

For Erd\H{o}s-R\'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 Max-Cut and maximum bisection are…

Probability · Mathematics 2017-04-04 Amir Dembo , Andrea Montanari , Subhabrata Sen

We introduce a general model of stochastically generated matrix product states (MPS) in which the local tensors share a common distribution and form a strictly stationary sequence, without requiring spatial independence. Under natural…

Quantum Physics · Physics 2026-01-27 Lubashan Pathirana , Albert H. Werner

For general spin systems, we prove that a contractive coupling for any local Markov chain implies optimal bounds on the mixing time and the modified log-Sobolev constant for a large class of Markov chains including the Glauber dynamics,…

Consider the linear transport equation in $1$D under an external confining potential $\Phi$: \begin{equation*} \partial_t f + v \partial_x f - \partial_x \Phi \partial_v f = 0. \end{equation*} For $\Phi = \frac{x^2}{2} + \frac{\epsilon…

Analysis of PDEs · Mathematics 2021-09-29 Sanchit Chaturvedi , Jonathan Luk

In this article we present a Bernstein inequality for sums of random variables which are defined on a graphical network whose nodes grow at an exponential rate. The inequality can be used to derive concentration inequalities in…

Statistics Theory · Mathematics 2017-09-20 Johannes T. N. Krebs

We establish a new criterion for exponential mixing of random dynamical systems. Our criterion is applicable to a wide range of systems, including in particular dispersive equations. Its verification is in nature related to several topics,…

Analysis of PDEs · Mathematics 2024-07-23 Ziyu Liu , Dongyi Wei , Shengquan Xiang , Zhifei Zhang , Jia-Cheng Zhao

We revisit classical bounds of M. E. Fisher on the ferromagnetic Ising model, and show how to efficiently use them on an arbitrary given graph to rigorously upper-bound the partition function, magnetizations, and correlations. The results…

Disordered Systems and Neural Networks · Physics 2017-05-24 Alaa Saade , Florent Krzakala , Lenka Zdeborová

We study the transverse-field Ising model with infinite-range coupling and spontaneous emission on every site. We find that there is spin squeezing in steady state due to the presence of the transverse field. This means that there is still…

Quantum Physics · Physics 2013-12-05 Tony E. Lee , Ching-Kit Chan

We propose a model to create synthetic networks that may also serve as a narrative of a certain kind of infrastructure network evolution. It consists of an initialization phase with the network extending tree-like for minimum cost and a…

Physics and Society · Physics 2016-02-09 Paul Schultz , Jobst Heitzig , Jürgen Kurths

Stochastic lattice gases with degenerate rates, namely conservative particle systems where the exchange rates vanish for some configurations, have been introduced as simplified models for glassy dynamics. We introduce two particular models…

Statistical Mechanics · Physics 2010-09-21 L. Bertini , C. Toninelli