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Main Author: Wiese, Kay Joerg
Format: Preprint
Published: 2019
Subjects:
Online Access:https://arxiv.org/abs/1903.06036
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author Wiese, Kay Joerg
author_facet Wiese, Kay Joerg
contents Be $X_t$ a random walk. We study its span $S$, i.e. the size of the domain visited up to time $t$. We want to know the probability that $S$ reaches $1$ for the first time, as well as the density of the span given $t$. Analytical results are presented, and checked against numerical simulations. We then generalize this to include drift, and one or two reflecting boundaries. We also derive the joint probability of the maximum and minimum of a process. Our results are based on the diffusion propagator with reflecting or absorbing boundaries, for which a set of useful formulas is derived.
format Preprint
id arxiv_https___arxiv_org_abs_1903_06036
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Span observables - "When is a foraging rabbit no longer hungry?"
Wiese, Kay Joerg
Statistical Mechanics
Quantitative Methods
Be $X_t$ a random walk. We study its span $S$, i.e. the size of the domain visited up to time $t$. We want to know the probability that $S$ reaches $1$ for the first time, as well as the density of the span given $t$. Analytical results are presented, and checked against numerical simulations. We then generalize this to include drift, and one or two reflecting boundaries. We also derive the joint probability of the maximum and minimum of a process. Our results are based on the diffusion propagator with reflecting or absorbing boundaries, for which a set of useful formulas is derived.
title Span observables - "When is a foraging rabbit no longer hungry?"
topic Statistical Mechanics
Quantitative Methods
url https://arxiv.org/abs/1903.06036