First-passage time of a Brownian motion: two unexpected journeys

Fuente: arXiv
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Autor principal: Mazzolo, Alain
Formato: Preprint
Publicado: 2023
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author Mazzolo, Alain
author_facet Mazzolo, Alain
contents The distribution of the first-passage time (FPT)$T_a$ for a Brownian particle with drift $μ$ subject to hitting an absorber at a level $a>0$ is well-known and given by its density $γ(t) = \frac{a}{\sqrt{2 πt^3} } e^{-\frac{(a-μt)^2}{2 t}}, t>0$, which is normalized only if $μ\geq 0$. This article demonstrates the existence of two additional diffusion process categories (one with one parameter and the other with two) that have the same first passage-time distributions when $μ<0$. For both, we identify the transition densities and thoroughly investigate the processes. A substantial implication is that the first-passage time distribution does not indicate whether the process originates from a drifted Brownian motion or from one of the new processes presented.
format Preprint
id arxiv_https___arxiv_org_abs_2306_17656
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle First-passage time of a Brownian motion: two unexpected journeys
Mazzolo, Alain
Statistical Mechanics
Probability
The distribution of the first-passage time (FPT)$T_a$ for a Brownian particle with drift $μ$ subject to hitting an absorber at a level $a>0$ is well-known and given by its density $γ(t) = \frac{a}{\sqrt{2 πt^3} } e^{-\frac{(a-μt)^2}{2 t}}, t>0$, which is normalized only if $μ\geq 0$. This article demonstrates the existence of two additional diffusion process categories (one with one parameter and the other with two) that have the same first passage-time distributions when $μ<0$. For both, we identify the transition densities and thoroughly investigate the processes. A substantial implication is that the first-passage time distribution does not indicate whether the process originates from a drifted Brownian motion or from one of the new processes presented.
title First-passage time of a Brownian motion: two unexpected journeys
topic Statistical Mechanics
Probability
url https://arxiv.org/abs/2306.17656