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Springer Stochastic Dynamics Out of Equilibrium - Math Book

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Description

Explore advanced mathematical concepts in Stochastic Dynamics Out of Equilibrium. This volume is based on the IHP trimester held at the Institut Henri Poincare in Paris, France, in 2017. It serves as a specialized collection of research contributions focusing on the developments within nonequilibrium dynamics. In the field of statistical mechanics, models of large interacting assemblies are often governed by stochastic dynamics. This book examines the distinction between equilibrium, defined as stochastically reversible dynamics regarding a prescribed Gibbs measure, and nonequilibrium dynamics. The text addresses irreversible evolutions where physical fluxes appear in systems and steady-state processes occur. Part of the Springer Proceedings in Mathematics and Statistics series (Volume 282), this book provides a deep look into the mathematical frameworks used to study systems that exist outside of standard equilibrium states. It is an essential resource for researchers and students working in applied mathematics and statistical mechanics.

Key Features

Based on the 2017 Institut Henri Poincare trimester in Paris, France.

Focuses on nonequilibrium dynamics and current developments in the field.

Part of the Springer Proceedings in Mathematics and Statistics series.

Covers statistical mechanics models of large interacting assemblies.

Explores the mathematical distinction between equilibrium and irreversible evolutions.

Examines physical systems where fluxes and steady-state processes appear.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 July 2019
Listed Since
06 February 2019

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