{"title":"Visitation Dynamics of $d$-Dimensional Fractional Brownian Motion","authors":"L. Régnier, M. Dolgushev, O. Bénichou","doi":"arxiv-2407.11655","DOIUrl":null,"url":null,"abstract":"The fractional Brownian motion (fBm) is a paradigmatic strongly non-Markovian\nprocess with broad applications in various fields. Despite their importance,\nthe properties of the territory covered by a $d$-dimensional fBm have remained\nelusive so far. Here, we study the visitation dynamics of the fBm by\nconsidering the time $\\tau_n$ required to visit a site, defined as a unit cell\nof a $d$-dimensional lattice, when $n$ sites have been visited. Relying on\nscaling arguments, we determine all temporal regimes of the probability\ndistribution function of $\\tau_n$. These results are confirmed by extensive\nnumerical simulations that employ large-deviation Monte Carlo algorithms.\nBesides these theoretical aspects, our results account for the tracking data of\ntelomeres in the nucleus of mammalian cells, microspheres in an agorose gel,\nand vacuoles in the amoeba, which are experimental realizations of fBm.","PeriodicalId":501321,"journal":{"name":"arXiv - QuanBio - Cell Behavior","volume":"2013 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Cell Behavior","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.11655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The fractional Brownian motion (fBm) is a paradigmatic strongly non-Markovian
process with broad applications in various fields. Despite their importance,
the properties of the territory covered by a $d$-dimensional fBm have remained
elusive so far. Here, we study the visitation dynamics of the fBm by
considering the time $\tau_n$ required to visit a site, defined as a unit cell
of a $d$-dimensional lattice, when $n$ sites have been visited. Relying on
scaling arguments, we determine all temporal regimes of the probability
distribution function of $\tau_n$. These results are confirmed by extensive
numerical simulations that employ large-deviation Monte Carlo algorithms.
Besides these theoretical aspects, our results account for the tracking data of
telomeres in the nucleus of mammalian cells, microspheres in an agorose gel,
and vacuoles in the amoeba, which are experimental realizations of fBm.