Onsager--Machlup Functional for Fractional Stochastic Newton Dynamics with Time-Dependent Noise Intensities

Fuente: arXiv
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Main Authors: Zhu, Yanbin, Jiang, Xiaomeng, Li, Yong
Format: Preprint
Published: 2026
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author Zhu, Yanbin
Jiang, Xiaomeng
Li, Yong
author_facet Zhu, Yanbin
Jiang, Xiaomeng
Li, Yong
contents In this paper, we derive the Onsager--Machlup functional for a second-order Newton-type stochastic system driven by time-dependent fractional noise, \[ X_t'' = f_t(X_t, X_t') + σ_t \,ξ_t^{H}, \] where \( H \in (1/4,1) \). The analysis relies on applying a Girsanov transformation to the non-degenerate components and evaluating the limiting conditional expectation associated with the noise term, for which the stochastic Fubini theorem plays a crucial role. To illustrate the applicability of the result, we study two mechanical systems perturbed by noise and provide supporting numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2602_20836
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Onsager--Machlup Functional for Fractional Stochastic Newton Dynamics with Time-Dependent Noise Intensities
Zhu, Yanbin
Jiang, Xiaomeng
Li, Yong
Dynamical Systems
60H10, 60G22, 60F10
In this paper, we derive the Onsager--Machlup functional for a second-order Newton-type stochastic system driven by time-dependent fractional noise, \[ X_t'' = f_t(X_t, X_t') + σ_t \,ξ_t^{H}, \] where \( H \in (1/4,1) \). The analysis relies on applying a Girsanov transformation to the non-degenerate components and evaluating the limiting conditional expectation associated with the noise term, for which the stochastic Fubini theorem plays a crucial role. To illustrate the applicability of the result, we study two mechanical systems perturbed by noise and provide supporting numerical simulations.
title Onsager--Machlup Functional for Fractional Stochastic Newton Dynamics with Time-Dependent Noise Intensities
topic Dynamical Systems
60H10, 60G22, 60F10
url https://arxiv.org/abs/2602.20836