TY - JOUR
T1 - The exit from a metastable state
T2 - concentration of the exit point distribution on the low energy saddle points, part 2
AU - Lelièvre, Tony
AU - Le Peutrec, Dorian
AU - Nectoux, Boris
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - We consider the first exit point distribution from a bounded domain Ω of the stochastic process (Xt)t≥0 solution to the overdamped Langevin dynamics dXt=-∇f(Xt)dt+hdBtstarting from deterministic initial conditions in Ω , under rather general assumptions on f (for instance, f may have several critical points in Ω). This work is a continuation of the previous paper [14] where the exit point distribution from Ω is studied when X is initially distributed according to the quasi-stationary distribution of (Xt)t≥0 in Ω. The proofs are based on analytical results on the dependency of the exit point distribution on the initial condition, large deviation techniques and results on the genericity of Morse functions.
AB - We consider the first exit point distribution from a bounded domain Ω of the stochastic process (Xt)t≥0 solution to the overdamped Langevin dynamics dXt=-∇f(Xt)dt+hdBtstarting from deterministic initial conditions in Ω , under rather general assumptions on f (for instance, f may have several critical points in Ω). This work is a continuation of the previous paper [14] where the exit point distribution from Ω is studied when X is initially distributed according to the quasi-stationary distribution of (Xt)t≥0 in Ω. The proofs are based on analytical results on the dependency of the exit point distribution on the initial condition, large deviation techniques and results on the genericity of Morse functions.
UR - https://www.scopus.com/pages/publications/85109374970
U2 - 10.1007/s40072-021-00202-0
DO - 10.1007/s40072-021-00202-0
M3 - Article
AN - SCOPUS:85109374970
SN - 2194-0401
VL - 10
SP - 317
EP - 357
JO - Stochastics and Partial Differential Equations: Analysis and Computations
JF - Stochastics and Partial Differential Equations: Analysis and Computations
IS - 1
ER -