76 research outputs found
Macdonald processes, quantum integrable systems and the Kardar-Parisi-Zhang universality class
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
The spatial logistic model is a system of point entities (particles) in
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
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
-dimensional sphere as 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
The object of this paper is to study estimates of
for small . Here is
the Wasserstein metric on positive measures, , is a probability
measure and a signed, neutral measure (). In [W1] we proved
uniform (in ) estimates for provided can be
controlled in terms of the , for any smooth
function .
In this paper we extend the results to the case where such a control fails.
This is the case where if, e.g. has a disconnected support, or if the
dimension of , (to be defined) is larger or equal .
In the later case we get such an estimate provided for
. If we get a log-Lipschitz estimate.
As an application we obtain H\"{o}lder estimates in for curves of
probability measures which are absolutely continuous in the total variation
norm .
In case the support of is disconnected (corresponding to ) we
obtain sharp estimates for ("optimal teleportation"): where 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 , and the weights of the
measure in each connected component of this support.Comment: 24 pages, 3 figure
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