On the Hill relation and the mean reaction time for metastable processes

被引:8
作者
Baudel, Manon [1 ]
Guyader, Arnaud [1 ,2 ]
Lelievre, Tony [1 ,3 ]
机构
[1] Ecole Ponts, CERMICS, Champs Sur Marne, France
[2] Sorbonne Univ, LPSM, Paris, France
[3] INRIA Paris, Paris, France
基金
欧洲研究理事会;
关键词
Source-sink process; Hill relation; Transition path process; Reactive trajectory; Quasi-stationary distribution; QUASI-STATIONARY DISTRIBUTIONS; APPROXIMATION; STABILITY;
D O I
10.1016/j.spa.2022.10.014
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We illustrate how the Hill relation and the notion of quasi-stationary distribution can be used to analyse the biasing error introduced by many numerical procedures that have been proposed in the literature, in particular in molecular dynamics, to compute mean reaction times between metastable states for Markov processes. The theoretical findings are illustrated on various examples demonstrating the sharpness of the biasing error analysis as well as the applicability of our study to elliptic diffusions.(c) 2022 Published by Elsevier B.V.
引用
收藏
页码:393 / 436
页数:44
相关论文
共 52 条
[31]   Enhanced Sampling of Nonequilibrium Steady States [J].
Dickson, Alex ;
Dinner, Aaron R. .
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, VOL 61, 2010, 61 :441-459
[32]  
Dobrushin R. L., 1956, THEOR PROBAB APPL, V1, P65, DOI DOI 10.1137/1101006
[33]   Towards a theory of transition paths [J].
E, Weinan ;
Vanden-Eijnden, Eric .
JOURNAL OF STATISTICAL PHYSICS, 2006, 123 (03) :503-523
[34]   Computing time scales from reaction coordinates by milestoning [J].
Faradjian, AK ;
Elber, R .
JOURNAL OF CHEMICAL PHYSICS, 2004, 120 (23) :10880-10889
[35]  
Farkas L, 1927, Z PHYS CHEM-STOCH VE, V125, P236
[36]   EXISTENCE OF QUASI-STATIONARY DISTRIBUTIONS - A RENEWAL DYNAMICAL-APPROACH [J].
FERRARI, PA ;
KESTEN, H ;
MARTINEZ, S ;
PICCO, P .
ANNALS OF PROBABILITY, 1995, 23 (02) :501-521
[37]  
Friedman A., 1975, Stochastic Differential Equations and Applications, V1
[38]  
Hernandez-Lerma O., 2003, Markov chains and invariant probabilities
[39]  
HILL T L, 1977, P229
[40]   Brownian motion in a field of force and the diffusion model of chemical reactions [J].
Kramers, HA .
PHYSICA, 1940, 7 :284-304