Large deviations of slow-fast systems driven by fractional Brownian motion

Abstract

We consider a multiscale system of stochastic differential equations in which the slow component is perturbed by a small fractional Brownian motion with Hurst index $H>1/2$ and the fast component is driven by an independent Brownian motion. Working in the framework of Young integration, we use tools from fractional calculus and weak convergence arguments to establish a Large Deviation Principle in the homogenized limit, as the noise intensity and time-scale separation parameters vanish at an appropriate rate. Our approach is based in the study of the limiting behavior of an associated controlled system. We show that, in certain cases, the non-local rate function admits an explicit non-variational form. The latter allows us to draw comparisons to the case $H=1/2$ which corresponds to the classical Freidlin-Wentzell theory. Moreover, we study the asymptotics of the rate function as $H\to {1/2}^{+}$ and show that it is discontinuous at $H=1/2.$

Published version

References in corpus (8)

• Stochastic Differential Equations Driven by Fractional Brownian Motion and Standard Brownian Motion
• Statistical aspects of the fractional stochastic calculus
• Averaging dynamics driven by fractional Brownian motion
• Large Deviations for Multiscale Diffusions via Weak Convergence Methods
• Large Deviations and Importance Sampling for Systems of Slow-Fast Motion
• Large and moderate deviations for stochastic Volterra systems
• Averaging Principles for Mixed Fast-Slow Systems Driven by Fractional Brownian Motion
• Generating diffusions with fractional Brownian motion