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Synchronization by noise for stochastic differential equations driven by fractional Brownian motion

Alexandra Blessing, Mazyar Ghani Varzaneh

Abstract

We investigate synchronization by noise for stochastic differential equations (SDEs) driven by a fractional Brownian motion (fbm) with Hurst index $H\in(0,1)$. Provided that the SDE has a negative top Lyapunov exponent, we show that a weak form of synchronization occurs. To this aim we use tools from stochastic dynamical systems, random dynamical systems and a support theorem for SDEs driven by fractional noise.~In particular, we characterize the support of an invariant measure of a random dynamical system in a non-Markovian setting.

Synchronization by noise for stochastic differential equations driven by fractional Brownian motion

Abstract

We investigate synchronization by noise for stochastic differential equations (SDEs) driven by a fractional Brownian motion (fbm) with Hurst index . Provided that the SDE has a negative top Lyapunov exponent, we show that a weak form of synchronization occurs. To this aim we use tools from stochastic dynamical systems, random dynamical systems and a support theorem for SDEs driven by fractional noise.~In particular, we characterize the support of an invariant measure of a random dynamical system in a non-Markovian setting.
Paper Structure (18 sections, 28 theorems, 186 equations)

This paper contains 18 sections, 28 theorems, 186 equations.

Key Result

Theorem 1.2

The SDE sde:intro exhibits weak synchronization in the sense of Definition def:intro provided that $\sigma$ is large enough and $F$ satisfies Assumption AASQw98a.

Theorems & Definitions (62)

  • Definition 1.1
  • Theorem 1.2
  • Lemma 2.1
  • Definition 2.2
  • Definition 2.3
  • Definition 2.4
  • Definition 2.5
  • Remark 2.6
  • Definition 2.7
  • Definition 2.8
  • ...and 52 more