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Related papers: Equilibration in the Kac Model using the GTW Metri…

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We study a model of random colliding particles interacting with an infinite reservoir at fixed temperature and chemical potential. Interaction between the particles is modeled via a Kac master equation \cite{kac}. Moreover, particles can…

Mathematical Physics · Physics 2022-06-08 Justin Beck , Federico Bonetto

We prove that the solution of the Kac analogue of Boltzmann's equation can be viewed as a probability distribution of a sum of a random number of random variables. This fact allows us to study convergence to equilibrium by means of a few…

Probability · Mathematics 2009-01-19 Ester Gabetta , Eugenio Regazzini

In this paper, we consider the Kac stochastic particle system associated to the spatially homogeneous Boltzmann equation for true hard potentials. We establish a rate of propagation of chaos of the particle system to the unique solution of…

Probability · Mathematics 2020-10-22 Chenguang Liu , Liping Xu

Kac's $d$ dimensional model gives a linear, many particle, binary collision model from which, under suitable conditions, the celebrated Boltzmann equation, in its spatially homogeneous form, arise as a mean field limit. The ergodicity of…

Mathematical Physics · Physics 2015-06-04 Amit Einav

We study a system of $N$ particles interacting through the Kac collision, with $m$ of them interacting, in addition, with a Maxwellian thermostat at temperature $\frac{1}{\beta}$. We use two indicators to understand the approach to the…

Mathematical Physics · Physics 2015-11-05 Hagop Tossounian , Ranjini Vaidyanathan

In this paper, we prove that the Kac stochastic particle system converges to the weak solution of the spatially homogeneous Boltzmann equation for hard potentials and hard spheres. We give, under the initial data with finite exponential…

Probability · Mathematics 2024-09-10 Chenguang Liu , Liping Xu , An Zhang

This paper is devoted to the study of propagation of chaos and mean-field limits for systems of indistinguable particles, undergoing collision processes. The prime examples we will consider are the many-particle jump processes of Kac and…

Analysis of PDEs · Mathematics 2012-07-24 Stéphane Mischler , Clément Mouhot

This paper considers the space homogenous Boltzmann equation with Maxwell molecules and arbitrary angular distribution. Following Kac's program, emphasis is laid on the the associated conservative Kac's stochastic $N$-particle system, a…

Probability · Mathematics 2014-08-05 Mathias Rousset

We consider the Dirac equation in $\R^3$ with a potential, and study the distribution $\mu_t$ of the random solution at time $t\in\R$. The initial measure $\mu_0$ has zero mean, a translation-invariant covariance, and a finite mean charge…

Mathematical Physics · Physics 2012-01-31 Alexander Komech , Elena Kopylova

Consider the wave equation with constant or variable coefficients in $\R^3$. The initial datum is a random function with a finite mean density of energy that also satisfies a Rosenblatt- or Ibragimov-Linnik-type mixing condition. The random…

Mathematical Physics · Physics 2007-05-23 T. V. Dudnikova , A. I. Komech , H. Spohn

We consider the Dirac equation in $\R^3$ with constant coefficients and study the distribution $\mu_t$ of the random solution at time $t\in\R$. It is assumed that the initial measure $\mu_0$ has zero mean, a translation-invariant…

Mathematical Physics · Physics 2007-05-23 T. V. Dudnikova , A. I. Komech , N. J. Mauser

We consider Canonical Gibbsian ensembles of Euler point vortices on the 2-dimensional torus or in a bounded domain of R 2 . We prove that under the Central Limit scaling of vortices intensities, and provided that the system has zero global…

Probability · Mathematics 2020-04-22 Francesco Grotto , Marco Romito

In this paper, we study the extreme statistics in the complex Ginibre ensemble of $N \times N$ random matrices with complex Gaussian entries, but with no other symmetries. All the $N$ eigenvalues are complex random variables and their joint…

Statistical Mechanics · Physics 2019-01-18 Bertrand Lacroix-A-Chez-Toine , Aurélien Grabsch , Satya N. Majumdar , Gregory Schehr

Pulvirenti and Toscani introduced an equation which extends the Kac caricature of a Maxwellian gas to inelastic particles. We show that the probability distribution, solution of the relative Cauchy problem, converges weakly to a probability…

Probability · Mathematics 2015-06-04 Ester Gabetta , Eugenio Regazzini

We consider the sequence of Gibbs measures of Ising models with Kac interaction defined on a periodic two-dimensional discrete torus near criticality. Using the convergence of the Glauber dynamic proven by H. Weber and J.C. Mourrat and a…

Probability · Mathematics 2018-01-11 Martin Hairer , Massimo Iberti

We study a nonlinear recombination model from population genetics as a combinatorial version of the Kac-Boltzmann equation from kinetic theory. Following Kac's approach, the nonlinear model is approximated by a mean field linear evolution…

Probability · Mathematics 2024-12-24 Pietro Caputo , Daniel Parisi

The Kac model is a simplified model of an $N$-particle system in which the collisions of a real particle system are modeled by random jumps of pairs of particle velocities. Kac proved propagation of chaos for this model, and hence provided…

Mathematical Physics · Physics 2015-06-18 Eric Carlen , Dawan Mustafa , Bernt Wennberg

This paper develops a theory of propagation of chaos for a system of weakly interacting particles whose terminal configuration is fixed as opposed to the initial configuration as customary. Such systems are modeled by backward stochastic…

Probability · Mathematics 2019-11-19 Mathieu Laurière , Ludovic Tangpi

We study the evolution of a system of M particles in contact with a large reservoir of N>>M particles. The reservoir is initially in equilibrium at temperature T=1/\beta. The evolution of the system and reservoir is described via a suitable…

Mathematical Physics · Physics 2016-12-21 Federico Bonetto , Michael Loss , Hagop Tossounian , Ranjini Vaidyanathan

This paper studies the optimal rate of estimation in a finite Gaussian location mixture model in high dimensions without separation conditions. We assume that the number of components $k$ is bounded and that the centers lie in a ball of…

Statistics Theory · Mathematics 2021-07-27 Natalie Doss , Yihong Wu , Pengkun Yang , Harrison H. Zhou