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A full probabilistic solution of the random linear fractional differential equation via the random variable transformation technique
dc.contributor.author | Burgos Simón, Clara | |
dc.contributor.author | Calatayud, Julia | |
dc.contributor.author | Cortés, Juan Carlos | |
dc.contributor.author | Navarro-Quiles, A. | |
dc.date.accessioned | 2022-11-30T14:31:20Z | |
dc.date.available | 2022-11-30T14:31:20Z | |
dc.date.issued | 2018-11-28 | |
dc.identifier.citation | Burgos, C, Calatayud, J, Cortés, J-C, Navarro-Quiles, A. A full probabilistic solution of the random linear fractional differential equation via the random variable transformation technique. Math Meth Appl Sci. 2018; 41: 9037– 9047. https://doi.org/10.1002/mma.4881 | ca_CA |
dc.identifier.issn | 0170-4214 | |
dc.identifier.issn | 1099-1476 | |
dc.identifier.uri | http://hdl.handle.net/10234/200998 | |
dc.description.abstract | This paper provides a full probabilistic solution of the randomized fractionallinear nonhomogeneous differential equation with a random initial conditionvia the computation of the first probability density function of the solution sto-chastic process. To account for most generality in our analysis, we assume thatuncertainty appears in all input parameters (diffusion coefficient, source term,and initial condition) and that a wide range of probabilistic distributions can beassigned to these parameters. Throughout our study, we will consider that thefractional order of Caputo derivative lies in ]0,1], that corresponds to the mainstandard case. To conduct our analysis, we take advantage of the random var-iable transformation technique to construct approximations of the first proba-bility density function of the solution process from a suitable infinite seriesrepresentation. We then prove these approximations do converge to the exactdensity assuming mild conditions on random input parameters. Our theoreti-cal findings are illustrated through 2 numerical examples. | ca_CA |
dc.format.extent | 11 p. | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | John Wiley & Sons, Ltd. | ca_CA |
dc.relation | Programa de Ayudas de Investigación y Desarrollo (PAID) | ca_CA |
dc.relation.isPartOf | Mathematical Methods in the Applied Sciences, Vol. 41, Iss.18. Special Issue: Biomathematics/Advanced Analysis in Pure & Applied Sciences (Decembre 2018) | ca_CA |
dc.rights | Copyright © 2018 John Wiley & Sons, Ltd. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | ca_CA |
dc.subject | first probability density function | ca_CA |
dc.subject | random fractional differential equations | ca_CA |
dc.subject | random variabletransformation technique | ca_CA |
dc.subject | 34A08 | ca_CA |
dc.subject | 60H10 | ca_CA |
dc.subject | 60H35 | ca_CA |
dc.subject | 68U20 | ca_CA |
dc.title | A full probabilistic solution of the random linear fractional differential equation via the random variable transformation technique | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1002/mma.4881 | |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | ca_CA |
dc.relation.publisherVersion | https://onlinelibrary.wiley.com/doi/10.1002/mma.4881 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
project.funder.name | Ministerio de Economía y Competitividad | ca_CA |
project.funder.name | Universitat Politècnica de València | ca_CA |
oaire.awardNumber | MTM2017-89664-P | ca_CA |
oaire.awardNumber | PAID-2014 | ca_CA |
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