English

Extreme Events for Fractional Brownian Motion with Drift: Theory and Numerical Validation

Statistical Mechanics 2020-08-12 v3

Abstract

We study the first-passage time, the distribution of the maximum, and the absorption probability of fractional Brownian motion of Hurst parameter HH with both a linear and a non-linear drift. The latter appears naturally when applying non-linear variable transformations. Via a perturbative expansion in ϵ=H1/2\epsilon = H-1/2, we give the first-order corrections to the classical result for Brownian motion analytically. Using a recently introduced adaptive bisection algorithm, which is much more efficient than the standard Davies-Harte algorithm, we test our predictions for the first-passage time on grids of effective sizes up to Neff=2282.7×108N_{\rm eff}=2^{28}\approx 2.7\times 10^{8} points. The agreement between theory and simulations is excellent, and by far exceeds in precision what can be obtained by scaling alone.

Keywords

Cite

@article{arxiv.1908.10801,
  title  = {Extreme Events for Fractional Brownian Motion with Drift: Theory and Numerical Validation},
  author = {Maxence Arutkin and Benjamin Walter and Kay Joerg Wiese},
  journal= {arXiv preprint arXiv:1908.10801},
  year   = {2020}
}

Comments

18 pages, 19 figures