2018
DOI: 10.1007/s00023-018-0646-x
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Phase Space Homogenization of Noisy Hamiltonian Systems

Abstract: We study the dynamics of an inertial particle coupled to forcing, dissipation, and noise in the small mass limit. We derive an expression for the limiting (homogenized) joint distribution of the position and (scaled) velocity degrees of freedom. In particular, weak convergence of the joint distributions is established, along with a bound on the convergence rate for a wide class of expected values.Mathematics Subject Classification (2010). 60H10, 82C31.

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Cited by 5 publications
(6 citation statements)
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“…The homogenization heuristics proposed under Assumption 1 applies here as well: the limiting Langevin equation can be interpreted as a result of averaging over the conditional stationary distribution of the z variable. A rigorous result, corroborating this picture has recently been proven in [6].…”
Section: Small Mass Limit-a Perturbative Approachsupporting
confidence: 72%
“…The homogenization heuristics proposed under Assumption 1 applies here as well: the limiting Langevin equation can be interpreted as a result of averaging over the conditional stationary distribution of the z variable. A rigorous result, corroborating this picture has recently been proven in [6].…”
Section: Small Mass Limit-a Perturbative Approachsupporting
confidence: 72%
“…We will also need the convergence result from [49], concerning the joint distribution of q m t and z m t , where…”
Section: Background and Previous Resultsmentioning
confidence: 99%
“…In particular, when γ (σ if the Stratonovich integral is used) is state-dependent, the limiting equation can be shown to involve an additional drift term that was not present in the original system. This noise-induced drift phenomenon was first derived in [17] and has been studied in numerous subsequent works [18,19,20,21,22,23,24]. See [20] for further references and discussion.…”
Section: Introductionmentioning
confidence: 83%
“…We will also need the following bound on the difference between the fundamental solutions corresponding to two linear ODEs. See the Appendix to [24].…”
Section: Hierarchy Of Approximations and The Convergence Proofmentioning
confidence: 99%