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Nonequilibrium Markov Processes Conditioned on Large Deviations
Chetrite, Raphaël ; Touchette, Hugo
Annales Henri Poincaré, 2015-09, Vol.16 (9), p.2005-2057
[Periódico revisado por pares]
Basel: Springer Basel
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Título:
Nonequilibrium Markov Processes Conditioned on Large Deviations
Autor:
Chetrite, Raphaël
;
Touchette, Hugo
Assuntos:
Classical and Quantum Gravitation
;
Dynamical Systems and Ergodic Theory
;
Elementary Particles
;
Mathematical
and Computational
Physics
;
Mathematical
Methods in
Physics
;
Physics
;
Physics
and Astronomy
;
Quantum Field Theory
;
Quantum
Physics
;
Relativity Theory
;
Theoretical
É parte de:
Annales Henri Poincaré, 2015-09, Vol.16 (9), p.2005-2057
Descrição:
We consider the problem of conditioning a Markov process on a rare event and of representing this conditioned process by a conditioning-free process, called the effective or driven process. The basic assumption is that the rare event used in the conditioning is a large deviation-type event, characterized by a convex rate function. Under this assumption, we construct the driven process via a generalization of Doob’s h -transform, used in the context of bridge processes, and show that this process is equivalent to the conditioned process in the long-time limit. The notion of equivalence that we consider is based on the logarithmic equivalence of path measures and implies that the two processes have the same typical states. In constructing the driven process, we also prove equivalence with the so-called exponential tilting of the Markov process, often used with importance sampling to simulate rare events and giving rise, from the point of view of statistical mechanics, to a nonequilibrium version of the canonical ensemble. Other links between our results and the topics of bridge processes, quasi-stationary distributions, stochastic control, and conditional limit theorems are mentioned.
Editor:
Basel: Springer Basel
Idioma:
Inglês
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