TY - JOUR
T1 - Quasi-stationary distribution for the Langevin process in cylindrical domains, Part I
T2 - Existence, uniqueness and long-time convergence
AU - Lelièvre, Tony
AU - Ramil, Mouad
AU - Reygner, Julien
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - Consider the Langevin process which models the evolution of positions (in Rd) and associated momenta (in Rd) of interacting particles. Let O be a C2 open bounded and connected set of Rd. We prove the compactness of the semigroup of the Langevin process absorbed at the boundary of the bounded-in-position domain D≔O×Rd. We then obtain the existence of a unique quasi-stationary distribution (QSD) for the Langevin process on D. We provide a spectral interpretation of this QSD and obtain an exponential convergence of the Langevin process conditioned on non-absorption towards the QSD. We also give an explicit formula for the first exit point distribution from D, starting from the QSD.
AB - Consider the Langevin process which models the evolution of positions (in Rd) and associated momenta (in Rd) of interacting particles. Let O be a C2 open bounded and connected set of Rd. We prove the compactness of the semigroup of the Langevin process absorbed at the boundary of the bounded-in-position domain D≔O×Rd. We then obtain the existence of a unique quasi-stationary distribution (QSD) for the Langevin process on D. We provide a spectral interpretation of this QSD and obtain an exponential convergence of the Langevin process conditioned on non-absorption towards the QSD. We also give an explicit formula for the first exit point distribution from D, starting from the QSD.
KW - Compactness
KW - Langevin process
KW - Quasi-stationary distribution
KW - Spectral decomposition
UR - https://www.scopus.com/pages/publications/85120413585
U2 - 10.1016/j.spa.2021.11.005
DO - 10.1016/j.spa.2021.11.005
M3 - Article
AN - SCOPUS:85120413585
SN - 0304-4149
VL - 144
SP - 173
EP - 201
JO - Stochastic Processes and their Applications
JF - Stochastic Processes and their Applications
ER -