76 research outputs found

    Macdonald processes, quantum integrable systems and the Kardar-Parisi-Zhang universality class

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    Integrable probability has emerged as an active area of research at the interface of probability/mathematical physics/statistical mechanics on the one hand, and representation theory/integrable systems on the other. Informally, integrable probabilistic systems have two properties: 1) It is possible to write down concise and exact formulas for expectations of a variety of interesting observables (or functions) of the system. 2) Asymptotics of the system and associated exact formulas provide access to exact descriptions of the properties and statistics of large universality classes and universal scaling limits for disordered systems. We focus here on examples of integrable probabilistic systems related to the Kardar-Parisi-Zhang (KPZ) universality class and explain how their integrability stems from connections with symmetric function theory and quantum integrable systems.Comment: Proceedings of the ICM, 31 pages, 10 figure

    Dynamics of spatial logistic model: finite systems

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    The spatial logistic model is a system of point entities (particles) in Rd\mathbb{R}^d which reproduce themselves at distant points (dispersal) and die, also due to competition. The states of such systems are probability measures on the space of all locally finite particle configurations. In this paper, we obtain the evolution of states of `finite systems', that is, in the case where the initial state is supported on the subset of the configuration space consisting of finite configurations. The evolution is obtained as the global solution of the corresponding Fokker-Planck equation in the space of measures supported on the set of finite configurations. We also prove that this evolution preserves the existence of exponential moments and the absolute continuity with respect to the Lebesgue-Poisson measure.Comment: To appear in "Semigroups of Operators: Theory and Applications. Bedlewo 2013" Springer Proceedings in Mathematic

    Quantitative uniform in time chaos propagation for Boltzmann collision processes

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    This paper is devoted to the study of mean-field limit for systems of indistinguables particles undergoing collision processes. As formulated by Kac \cite{Kac1956} this limit is based on the {\em chaos propagation}, and we (1) prove and quantify this property for Boltzmann collision processes with unbounded collision rates (hard spheres or long-range interactions), (2) prove and quantify this property \emph{uniformly in time}. This yields the first chaos propagation result for the spatially homogeneous Boltzmann equation for true (without cut-off) Maxwell molecules whose "Master equation" shares similarities with the one of a L\'evy process and the first {\em quantitative} chaos propagation result for the spatially homogeneous Boltzmann equation for hard spheres (improvement of the %non-contructive convergence result of Sznitman \cite{S1}). Moreover our chaos propagation results are the first uniform in time ones for Boltzmann collision processes (to our knowledge), which partly answers the important question raised by Kac of relating the long-time behavior of a particle system with the one of its mean-field limit, and we provide as a surprising application a new proof of the well-known result of gaussian limit of rescaled marginals of uniform measure on the NN-dimensional sphere as NN goes to infinity (more applications will be provided in a forthcoming work). Our results are based on a new method which reduces the question of chaos propagation to the one of proving a purely functional estimate on some generator operators ({\em consistency estimate}) together with fine stability estimates on the flow of the limiting non-linear equation ({\em stability estimates})

    From optimal transportation to optimal teleportation

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    The object of this paper is to study estimates of ϵqWp(μ+ϵν,μ)\epsilon^{-q}W_p(\mu+\epsilon\nu, \mu) for small ϵ>0\epsilon>0. Here WpW_p is the Wasserstein metric on positive measures, p>1p>1, μ\mu is a probability measure and ν\nu a signed, neutral measure (dν=0\int d\nu=0). In [W1] we proved uniform (in ϵ\epsilon) estimates for q=1q=1 provided ϕdν\int \phi d\nu can be controlled in terms of the ϕp/(p1)dμ\int|\nabla\phi|^{p/(p-1)}d\mu, for any smooth function ϕ\phi. In this paper we extend the results to the case where such a control fails. This is the case where if, e.g. μ\mu has a disconnected support, or if the dimension of μ\mu , dd (to be defined) is larger or equal p/(p1)p/(p-1). In the later case we get such an estimate provided 1/p+1/d11/p+1/d\not=1 for q=min(1,1/p+1/d)q=\min(1, 1/p+1/d). If 1/p+1/d=11/p+1/d=1 we get a log-Lipschitz estimate. As an application we obtain H\"{o}lder estimates in WpW_p for curves of probability measures which are absolutely continuous in the total variation norm . In case the support of μ\mu is disconnected (corresponding to d=d=\infty) we obtain sharp estimates for q=1/pq=1/p ("optimal teleportation"): limϵ0ϵ1/pWp(μ,μ+ϵν)=νμ \lim_{\epsilon\rightarrow 0}\epsilon^{-1/p}W_p(\mu, \mu+\epsilon\nu) = \|\nu\|_{\mu} where νμ\|\nu\|_{\mu} is expressed in terms of optimal transport on a metric graph, determined only by the relative distances between the connected components of the support of μ\mu, and the weights of the measure ν\nu in each connected component of this support.Comment: 24 pages, 3 figure

    Proceedings of the 8th Scandinavian Logic Symposium

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