Onsager-Machlup Functional for SDE with Time-Varying Fractional Noise

TL;DR

This paper derives the Onsager-Machlup functional for SDEs driven by time-varying fractional noise, extending existing theories to new Hurst parameter ranges and validating results through numerical simulations.

Contribution

It extends the Onsager-Machlup functional to SDEs with time-dependent fractional noise for H in (1/4, 1), including new norm analysis and simulation validation.

Findings

Extended Onsager-Machlup functional for H in (1/4, 1)

Norm analysis varies with Hurst parameter and drift regularity

Numerical simulations demonstrate influence of fractional noise on metastable transitions

Abstract

In this paper, we derive the Onsager-Machlup functional for stochastic differential equations driven by time-varying fractional noise of the form X(t) = x0 + integral from 0 to t b_s(X(s)) ds + integral from 0 to t sigma_s dB^H(s), where B^H denotes fractional Brownian motion with Hurst parameter H. Our main results are established for H in (1/4, 1) by extending small ball probability estimates and the Girsanov theorem for fractional Brownian motion to the setting with time-dependent coefficients. Regarding the choice of norms, for 1/4 < H < 1/2 the analysis is valid under the supremum norm and Holder norms of order 0 < beta < H - 1/4. For 1/2 < H < 1 the analysis applies to Holder norms of order beta satisfying H - 1/2 < beta < H - 1/4. In the case H = 1/2, the admissible norms depend on the spatial regularity of the drift coefficient b: specifically, if b is n-times continuously differentiable, then Holder norms of order 0 < beta < 1/2 - 1/(2n) are permissible. To validate our theoretical findings, we perform numerical simulations for a classical double-well potential system, illustrating how time-varying fractional noise influences transition dynamics between metastable states.