English

A note on decompositions of the stochastic convolution driven by a white-fractional Gaussian noise

Probability 2019-12-10 v1

Abstract

Let u={u(t,x);(t,x)R+×R}u = \{u(t, x); (t,x)\in \mathbb R_+\times \mathbb R\} be the solution to a linear stochastic heat equation driven by a Gaussian noise, which is a Brownian motion in time and a fractional Brownian motion in space with Hurst parameter H(0,1)H\in(0, 1). For any given xRx\in \mathbb R (resp. tR+t\in \mathbb R_+), we show a decomposition of the stochastic process tu(t,x)t\mapsto u(t,x) (resp. xu(t,x)x\mapsto u(t,x)) as the sum of a fractional Brownian motion with Hurst parameter H/2H/2 (resp. HH) and a stochastic process with CC^{\infty}-continuous trajectories. Some applications of those decompositions are discussed.

Keywords

Cite

@article{arxiv.1912.03684,
  title  = {A note on decompositions of the stochastic convolution driven by a white-fractional Gaussian noise},
  author = {Ran Wang and Shiling Zhang},
  journal= {arXiv preprint arXiv:1912.03684},
  year   = {2019}
}