Stochastic Dynamics Out of Equilibrium

Stochastic Dynamics Out of Equilibrium
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不平衡的随机动力学

DOI:
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发表时间:
2019
期刊:
Springer Proceedings in Mathematics & statistics
影响因子:
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通讯作者:
G. Stoltz
G. Stoltz
中科院分区:
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文献类型:
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作者:
G. Giacomin;S. Olla;E. Saada;H. Spohn;G. Stoltz

文献摘要

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从国际水文计划的三个学期“随机动力学脱离平衡”,这一系列的贡献集中在非平衡动力学的各个方面及其正在进行的发展。这是统计力学的常见做法,使用随机动力学控制的大型相互作用组件的模型。在这种情况下,“平衡”被理解为相对于规定的吉布斯测度的随机(时间)可逆动力学。另一方面,非平衡动力学对应于不可逆转的演变,其中物理系统中出现通量,并且稳态测量未知。2017年4月至7月在巴黎亨利·庞加莱研究所(IHP)举行的三个月期间,包括与三个领域相关的各种事件(i)非平衡统计力学中的输运;(ii)更有效的模拟方法的设计; ㈢生命科学。它汇集了物理学家,数学家从许多领域,计算机科学家,以及研究人员在生物学,物理学和数学之间的接口工作。本卷是不可或缺的阅读的研究人员和博士。在这些地区工作的学生。
Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.The trimester, held at the Institut Henri Poincare (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.The present volume is indispensable reading for researchers and Ph.D. students working in such areas.