English

Gaussian processes with Volterra kernels

Probability 2020-04-07 v2

Abstract

We study Volterra processes Xt=0tK(t,s)dWsX_t = \int_0^t K(t,s) dW_s, where WW is a standard Wiener process, and the kernel has the form K(t,s)=a(s)stb(u)c(us)duK(t,s) = a(s) \int_s^t b(u) c(u-s) du. This form generalizes the Volterra kernel for fractional Brownian motion (fBm) with Hurst index H>1/2H>1/2. We establish smoothness properties of XX, including continuity and Holder property. It happens that its Holder smoothness is close to well-known Holder smoothness of fBm but is a bit worse. We give a comparison with fBm for any smoothness theorem. Then we investigate the problem of inverse representation of WW via XX in the case where cL1[0,T]c\in L^1[0,T] creates a Sonine pair, i.e. there exists hL1[0,T]h\in L^1[0,T] such that ch=1c * h = 1. It is a natural extension of the respective property of fBm that generates the same filtration with the underlying Wiener process. Since the inverse representation of the Gaussian processes under consideration are based on the properties of Sonine pairs, we provide several examples of Sonine pairs, both well-known and new. Key words: Gaussian process, Volterra process, Sonine pair, continuity, Holder property, inverse representation.

Keywords

Cite

@article{arxiv.2001.03405,
  title  = {Gaussian processes with Volterra kernels},
  author = {Yuliya Mishura and Georgiy Shevchenko and Sergiy Shklyar},
  journal= {arXiv preprint arXiv:2001.03405},
  year   = {2020}
}

Comments

28 pages, corrected and slightly extended

R2 v1 2026-06-23T13:07:52.746Z