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We study the asymptotic behaviour of Markov processes on large weighted Erdos-Renyi graphs where the transition rates of the vertices are only influenced by the state of their neighbours and the corresponding weight on the edges. We find…

Probability · Mathematics 2020-04-07 Daniel Keliger , Illes Horvath

We show that non-Markovianity of the velocity field is an essential property of turbulent mixing. We demonstrate this via passive scalar mixing by synthetically generated stochastic velocity fields. Including a separate velocity…

Fluid Dynamics · Physics 2026-01-06 Pratyush S. Awasthi , Joaquim P. Jossy , Amitabh Bhattacharya , Prateek Gupta

The antiferromagnetic Ising model samples subsets of vertices of a graph with weight decaying exponentially in the number of edges induced. We study the problem of sampling from this model on the class of bipartite, regular graphs with good…

Combinatorics · Mathematics 2026-03-03 Anna Geisler , Mihyun Kang , Michail Sarantis , Ronen Wdowinski

In this work we obtain mixing (and in some cases sharp mixing rates) for a reasonable large class of invertible systems preserving an infinite measure. The examples considered here are the invertible analogue of both Markov and non Markov…

Dynamical Systems · Mathematics 2014-11-24 Carlangelo Liverani , Dalia Terhesiu

Hitting rate and escape rate are two examples of recurrence laws for a dynamical system, and a general limit connects them. We show that for both Gibbs-Markov systems or any systems with the $\phi$-mixing measure, for a sequence of nested…

Dynamical Systems · Mathematics 2025-03-19 Saeed Shaabanian

Finding the most likely (MAP) configuration of a Markov random field (MRF) is NP-hard in general. A promising, recent technique is to reduce the problem to finding a maximum weight stable set (MWSS) on a derived weighted graph, which if…

Artificial Intelligence · Computer Science 2013-09-27 Adrian Weller , Tony S. Jebara

We address the question of geometrical as well as energetic properties of local excitations in mean field Ising spin glasses. We study analytically the Random Energy Model and numerically a dilute mean field model, first on tree-like…

Disordered Systems and Neural Networks · Physics 2007-05-23 F. Krzakala , G. Parisi

Inference in general Markov random fields (MRFs) is NP-hard, though identifying the maximum a posteriori (MAP) configuration of pairwise MRFs with submodular cost functions is efficiently solvable using graph cuts. Marginal inference,…

Machine Learning · Computer Science 2013-01-03 Adrian Weller , Tony Jebara

We study the strong spatial mixing (decay of correlation) property of proper $q$-colorings of random graph $G(n, d/n)$ with a fixed $d$. The strong spatial mixing of coloring and related models have been extensively studied on graphs with…

Data Structures and Algorithms · Computer Science 2014-02-20 Yitong Yin

It is well known that stationary geometrically ergodic Markov chains are $\beta$-mixing (absolutely regular) with geometrically decaying mixing coefficients. Furthermore, for initial distributions other than the stationary one, geometric…

Econometrics · Economics 2019-04-17 Mika Meitz , Pentti Saikkonen

We consider a class of mechanical particle systems with deterministic particle-disk interactions coupled to Gibbs heat reservoirs at possibly different temperatures. We show that there exists a unique (non-equilibrium) steady state. This…

Mathematical Physics · Physics 2015-06-15 Tatiana Yarmola

We consider the problem of generating uniformly random partitions of the vertex set of a graph such that every piece induces a connected subgraph. For the case where we want to have partitions with linearly many pieces of bounded size, we…

Probability · Mathematics 2022-06-02 Alan Frieze , Wesley Pegden

Some, but not all processes of the form $M_t=\exp(-\xi_t)$ for a pure-jump subordinator $\xi$ with Laplace exponent $\Phi$ arise as residual mass processes of particle 1 (tagged particle) in Bertoin's partition-valued exchangeable…

Probability · Mathematics 2015-11-18 Jim Pitman , Matthias Winkel

We give a new rapid mixing result for a natural random walk on the independent sets of a graph $G$. We show that when $G$ has bounded treewidth, this random walk -- known as the Glauber dynamics for the hardcore model -- mixes rapidly for…

Data Structures and Algorithms · Computer Science 2023-10-03 David Eppstein , Daniel Frishberg

We develop a framework for the operationalization of models and parameters by combining de Finetti's representation theorem with a conditional form of Sanov's theorem. This synthesis, the tilted de Finetti theorem, shows that conditioning…

Statistics Theory · Mathematics 2025-09-17 Nicholas G. Polson , Daniel Zantedeschi

We prove tight upper and lower bounds on the internal energy per particle (expected number of monochromatic edges per vertex) in the anti-ferromagnetic Potts model on cubic graphs at every temperature and for all $q \ge 2$. This immediately…

Combinatorics · Mathematics 2021-03-05 Ewan Davies , Matthew Jenssen , Will Perkins , Barnaby Roberts

We study the problem of the optimal mixing of a passive scalar under the action of an incompressible flow in two space dimensions. The scalar solves the continuity equation with a divergence-free velocity field, which satisfies a bound in…

Analysis of PDEs · Mathematics 2018-09-19 Giovanni Alberti , Gianluca Crippa , Anna L. Mazzucato

We prove precise stability results for overshoots of Markov additive processes (MAPs) with finite modulating space. Our approach is based on the Markovian nature of overshoots of MAPs whose mixing and ergodic properties are investigated in…

Probability · Mathematics 2024-05-28 Leif Döring , Lukas Trottner

We exhibit an uncountable family of extremal inhomogeneous Gibbs measures of the low temperature Ising model on regular tilings of the hyperbolic plane. These states arise as low temperature perturbations of local ground states having a…

Probability · Mathematics 2025-07-25 Matteo D'Achille , Loren Coquille , Arnaud Le Ny

Motivated by de Finetti's representation theorem for almost exchangeable arrays, we want to sample $\mathbf p \in [0,1]^d$ from a distribution with density proportional to $\exp(-A^2\sum_{i<j}c_{ij}(p_i-p_j)^2)$, where $A$ is large and…

Probability · Mathematics 2020-12-22 Balázs Gerencsér , Andrea Ottolini
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