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dc.contributor.authorLara, Luis Pedro
dc.contributor.authorGadella Urquiza, Manuel 
dc.date.accessioned2022-09-27T09:42:13Z
dc.date.available2022-09-27T09:42:13Z
dc.date.issued2022
dc.identifier.citationMathematical Methods in the Applied Sciences, 2022.es
dc.identifier.issn0170-4214es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/55664
dc.descriptionProducción Científicaes
dc.description.abstractHere, we propose a method to obtain local analytic approximate solutions of ordinary differential equations with variable coefficients, or even some nonlinear equations, inspired in the Lyapunov method, where instead of polynomial approximations, we use truncated Fourier series with variable coefficients as approximate solutions. In the case of equations admitting periodic solutions, an averaging over the coefficients gives global solutions. We show that, under some restrictive condition, the method is equivalent to the Picard-Lindelöf method. After some numerical experiments showing the efficiency of the method, we apply it to equations of interest in physics, in which we show that our method possesses an excellent precision even with low iterations.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherWileyes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationLyapunov methodes
dc.subject.classificationOrdinary differential equationses
dc.subject.classificationNonlinear equationses
dc.titleA modified Lyapunov method and its applications to ODEes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Author(s)es
dc.identifier.doi10.1002/mma.8598es
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/10.1002/mma.8598es
dc.identifier.publicationtitleMathematical Methods in the Applied Scienceses
dc.peerreviewedSIes
dc.description.projectMinisterio de Ciencia e Innovación with funding from the European Union NextGenerationEU (PRTRC17.I1)es
dc.description.projectMinisterio de Ciencia e Innovación project (PID2020-113406GB-I00)es
dc.identifier.essn1099-1476es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco22 Físicaes
dc.subject.unesco12 Matemáticases


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