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dc.contributor.author | Calatayud, J. | es_ES |
dc.contributor.author | Cortés, J.-C. | es_ES |
dc.contributor.author | Díaz, J.A. | es_ES |
dc.contributor.author | Jornet, M. | es_ES |
dc.date.accessioned | 2021-02-19T04:33:42Z | |
dc.date.available | 2021-02-19T04:33:42Z | |
dc.date.issued | 2020-05-18 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/161848 | |
dc.description.abstract | [EN] A computational approach to approximate the probability density function of random differential equations is based on transformation of random variables and finite difference schemes. The theoretical analysis of this computational method has not been performed in the extant literature. In this paper, we deal with a particular random differential equation: a random diffusion-reaction Poisson-type problem of the form , , with boundary conditions , . Here, alpha, A and B are random variables and is a stochastic process. The term is a stochastic process that solves the random problem in the sample path sense. Via a finite difference scheme, we approximate with a sequence of stochastic processes in both the almost sure and senses. This allows us to find mild conditions under which the probability density function of can be approximated. Illustrative examples are included. | es_ES |
dc.description.sponsorship | This work has been supported by the Spanish Ministerio de Economia y Competitividad grant MTM2017-89664-P. Marc Jornet acknowledges the doctorate scholarship granted by Programa de Ayudas de Investigacion y Desarrollo (PAID), Universitat Politecnica de Valencia. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Taylor & Francis | es_ES |
dc.relation.ispartof | Stochastics: An International Journal of Probability and Stochastic Processes (Online) | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Random diffusion-reaction Poisson-type problem | es_ES |
dc.subject | Finite difference scheme | es_ES |
dc.subject | Probability density function | es_ES |
dc.subject | Numerical methods | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Density function of random differential equations via finite difference schemes: a theoretical analysis of a random diffusion-reaction Poisson-type problem | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1080/17442508.2019.1645849 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Calatayud, J.; Cortés, J.; Díaz, J.; Jornet, M. (2020). Density function of random differential equations via finite difference schemes: a theoretical analysis of a random diffusion-reaction Poisson-type problem. Stochastics: An International Journal of Probability and Stochastic Processes (Online). 92(4):627-641. https://doi.org/10.1080/17442508.2019.1645849 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1080/17442508.2019.1645849 | es_ES |
dc.description.upvformatpinicio | 627 | es_ES |
dc.description.upvformatpfin | 641 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 92 | es_ES |
dc.description.issue | 4 | es_ES |
dc.identifier.eissn | 1744-2516 | es_ES |
dc.relation.pasarela | S\391565 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
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