51. Large Scale Stochastic Dynamics
- Author
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Stefano Olla, Herbert Spohn, and Claudio Landim
- Subjects
Attractiveness ,Particle system ,Physics ,Particle physics ,Random field ,Partial differential equation ,Markov process ,Statistical mechanics ,General Medicine ,Universality (dynamical systems) ,symbols.namesake ,Stochastic dynamics ,Random environment ,Euler's formula ,symbols ,A priori and a posteriori ,Statistical physics ,Mathematics ,Probability measure - Abstract
Equilibrium statistical mechanics studies random fields distrib- uted according to a Gibbs probability measure. Such random fields can be equipped with a stochastic dynamics given by a Markov process with the correspondingly high-dimensional state space. One particular case are sto- chastic partial differential equations suitably regularized. Another common version is to consider the evolution of random fields taking only values 0 or 1. The workshop was concerned with an understanding of qualitative properties of such high-dimensional Markov processes. Of particular interest are non- reversible dynamics for which the stationary measures are determined only through the dynamics and not given a priori (as would be the case for re- versible dynamics). As a general observation, properties on a large scale do not depend on the precise details of the local updating rules. Such kind of universality was a guiding theme of our workshop.
- Published
- 2007
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