Simulating Rare Events in Dynamical Processes

被引:148
|
作者
Giardina, Cristian [1 ]
Kurchan, Jorge [2 ]
Lecomte, Vivien [3 ]
Tailleur, Julien [4 ]
机构
[1] Univ Modena & Reggio Emilia, I-42121 Reggio Emilia, Italy
[2] ESPCI, CNRS UMR PMMH 7636, F-75005 Paris, France
[3] Univ Paris Diderot, LPMA, UMR CNRS 7599, F-75205 Paris, France
[4] Univ Paris Diderot, MSC, UMR CNRS 7057, F-75205 Paris, France
关键词
Large deviations; Rare events; Simulations; LARGE DEVIATION FUNCTIONS; GLASS-TRANSITION; STATISTICAL-MECHANICS; STEADY-STATES; SPACE-TIME; FLUCTUATIONS; BREATHERS; THEOREM; MODELS; ENERGY;
D O I
10.1007/s10955-011-0350-4
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Atypical, rare trajectories of dynamical systems are important: they are often the paths for chemical reactions, the haven of (relative) stability of planetary systems, the rogue waves that are detected in oil platforms, the structures that are responsible for intermittency in a turbulent liquid, the active regions that allow a supercooled liquid to flowaEuro broken vertical bar. Simulating them in an efficient, accelerated way, is in fact quite simple. In this paper we review a computational technique to study such rare events in both stochastic and Hamiltonian systems. The method is based on the evolution of a family of copies of the system which are replicated or killed in such a way as to favor the realization of the atypical trajectories. We illustrate this with various examples.
引用
收藏
页码:787 / 811
页数:25
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