English

Bifractional Brownian motion for $H>1$ and $2HK\le 1$

Probability 2021-09-28 v2

Abstract

Bifractional Brownian motion on R+\mathbb{R}_+ is a two parameter centered Gaussian process with covariance function: RH,K(t,s)=12K((t2H+s2H)K ts 2HK),s,t0. R_{H,K} (t,s)=\frac 1{2^K}\left(\left(t^{2H}+s^{2H}\right)^K-\ |{t-s}\ |^{2HK}\right), \qquad s,t\ge 0. This process has been originally introduced by Houdr\'e and Villa (2003) for the range of parameters H(0,1]H\in (0,1] and K(0,1]K\in (0,1]. Since then, the range of parameters, for which RH,KR_{H,K} is known to be nonnegative definite has been somewhat extended, but the full range is still not known. We give an elementary proof that RH,KR_{H,K} is nonnegative definite for parameters H,KH,K satisfying H>1H>1 and 0<2HK10<2HK\le 1. We show that RH,KR_{H,K} can be decomposed into a sum of two nonnegative definite functions. As a side product we obtain a decomposition of the fractional Brownian motion with Hurst parameter H<12H<\frac 12 into a sum of time rescaled Brownian motion and another independent self-similar Gaussian process. We also discuss some simple properties of bifractional Brownian motion with H>1H>1.

Keywords

Cite

@article{arxiv.1902.09633,
  title  = {Bifractional Brownian motion for $H>1$ and $2HK\le 1$},
  author = {Anna Talarczyk},
  journal= {arXiv preprint arXiv:1902.09633},
  year   = {2021}
}