Random walk methods for Monte Carlo simulations of Brownian diffusion on a sphere

dc.contributor.authorNovikov, Alexei
dc.contributor.authorKuzmin, Dmitri
dc.contributor.authorAhmadi, Omid
dc.date.accessioned2019-02-15T16:01:43Z
dc.date.available2019-02-15T16:01:43Z
dc.date.issued2019-02
dc.description.abstractThis paper is focused on efficient Monte Carlo simulations of Brownian diffusion effects in particle-based numerical methods for solving transport equations on a sphere (or a circle). Using the heat equation as a model problem, random walks are designed to emulate the action of the Laplace-Beltrami operator without evolving or reconstructing the probability density function. The intensity of perturbations is fitted to the value of the rotary diffusion coefficient in the deterministic model. Simplified forms of Brownian motion generators are derived for rotated reference frames, and several practical approaches to generating random walks on a sphere are discussed. The alternatives considered in this work include projections of Cartesian random walks, as well as polar random walks on the tangential plane. In addition, we explore the possibility of using look-up tables for the exact cumulative probability of perturbations. Numerical studies are performed to assess the practical utility of the methods under investigation.en
dc.identifier.issn2190-1767
dc.identifier.urihttp://hdl.handle.net/2003/37920
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19907
dc.language.isoen
dc.relation.ispartofseriesErgebnisberichte des Instituts für Angewandte Mathematik;595de
dc.subjectBrownian diffusion on a sphereen
dc.subjectLaplace-Beltrami operatoren
dc.subjectorientation probability densityen
dc.subjectLagrangian modelingen
dc.subjectrandom walken
dc.subject.ddc610
dc.titleRandom walk methods for Monte Carlo simulations of Brownian diffusion on a sphereen
dc.typeText
dc.type.publicationtypepreprint
dcterms.accessRightsopen access
eldorado.secondarypublicationfalse

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