Branching fractional Brownian motion: discrete approximations and maximal displacement
Probability
2024-04-24 v3
Abstract
We construct and study branching fractional Brownian motion with Hurst parameter . The construction relies on a generalization of the discrete approximation of fractional Brownian motion (Hammond and Sheffield, Probability Theory and Related Fields, 2013) to power law P\'olya urns indexed by trees. We show that the first order of the speed of branching fractional Brownian motion with Hurst parameter is where is explicit and only depends on the Hurst parameter. A notion of "branching property" for processes with memory emerges naturally from our construction.
Keywords
Cite
@article{arxiv.2310.04386,
title = {Branching fractional Brownian motion: discrete approximations and maximal displacement},
author = {Adrián González Casanova and Jan Lukas Igelbrink},
journal= {arXiv preprint arXiv:2310.04386},
year = {2024}
}
Comments
Introduction extended, additional references given, alternative proof of Theorem 3.8 added