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On generalized Piterbarg-Berman function

Statistics Theory 2019-05-24 v1 Statistics Theory

Abstract

This paper aims to evaluate the Piterbarg-Berman function given by P ⁣Bαh(x,E)=RezP{EI(2Bα(t)tαh(t)z>0)dt>x}dz,x[0,mes(E)],\mathcal{P\!B}_\alpha^h(x, E) = \int_\mathbb{R}e^z\mathbb{P} \left\{{\int_E \mathbb{I}\left(\sqrt2B_\alpha(t) - |t|^\alpha - h(t) - z>0 \right) {\text{d}} t > x} \right\} {\text{d}} z,\quad x\in[0, {mes}(E)], with hh a drift function and BαB_\alpha a fractional Brownian motion (fBm) with Hurst index α/2(0,1]\alpha/2\in(0,1], i.e., a mean zero Gaussian process with continuous sample paths and covariance function \begin{align*} {\mathrm{Cov}}(B_\alpha(s), B_\alpha(t)) = \frac12 (|s|^\alpha + |t|^\alpha - |s-t|^\alpha). \end{align*} This note specifies its explicit expression for the fBms with α=1\alpha=1 and 22 when the drift function h(t)=ctα,c>0h(t)=ct^\alpha, c>0 and E=R+{0}E=\mathbb{R}_+\cup\{0\}. For the Gaussian distribution B2B_2, we investigate P ⁣B2h(x,E)\mathcal{P\!B}_2^h(x, E) with general drift functions h(t)h(t) such that h(t)+t2h(t)+t^2 being convex or concave, and finite interval E=[a,b]E=[a,b]. Typical examples of P ⁣B2h(x,E)\mathcal{P\!B}_2^h(x, E) with h(t)=ctλt2h(t)=c|t|^\lambda-t^2 and several bounds of P ⁣Bαh(x,E)\mathcal{P\!B}_\alpha^h(x, E) are discussed. Numerical studies are carried out to illustrate all the findings. Keywords: Piterbarg-Berman function; sojourn time; fractional Brownian motion; drift function

Keywords

Cite

@article{arxiv.1905.09599,
  title  = {On generalized Piterbarg-Berman function},
  author = {Chengxiu Ling and Hong Zhang and Long Bai},
  journal= {arXiv preprint arXiv:1905.09599},
  year   = {2019}
}
R2 v1 2026-06-23T09:19:30.617Z