dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorRuy, Danilo V.
dc.date2015-03-18T15:53:23Z
dc.date2015-03-18T15:53:23Z
dc.date2015-01-01
dc.date.accessioned2023-09-09T11:05:25Z
dc.date.available2023-09-09T11:05:25Z
dc.identifierhttp://dx.doi.org/10.1016/j.cnsns.2014.05.011
dc.identifierCommunications In Nonlinear Science And Numerical Simulation. Amsterdam: Elsevier Science Bv, v. 20, n. 1, p. 113-120, 2015.
dc.identifier1007-5704
dc.identifierhttp://hdl.handle.net/11449/116481
dc.identifier10.1016/j.cnsns.2014.05.011
dc.identifierWOS:000341356700011
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8765966
dc.descriptionIntegrable mixed models have been used as a generalization of traditional integrable models. However, a map from a traditional integrable model to a mixed integrable model is not well understood yet. Here, it is studied the relation between the mKdV-Liouville hierarchy and the mKdV hierarchy by employing an extended version of the modified truncation approach. This paper shows some solutions for the mKdV-Liouville hierarchy constructed from the soliton solutions of the mKdV hierarchy. The last section deals with the possibility of define new transcendental functions from the self-similarity reduction of the mKdV-Liouville hierarchy. (C) 2014 Elsevier B.V. All rights reserved.
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionUniv Estadual Paulista, Inst Fis Teor, BR-01140070 Sao Paulo, Brazil
dc.descriptionUniv Estadual Paulista, Inst Fis Teor, BR-01140070 Sao Paulo, Brazil
dc.descriptionFAPESP: 10/18110-9
dc.format113-120
dc.languageeng
dc.publisherElsevier B.V.
dc.relationCommunications In Nonlinear Science And Numerical Simulation
dc.relation3.181
dc.relation1,372
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectmKdV-sinh-Gordon
dc.subjectmKdV-Liouville
dc.subjectmKdV
dc.subjectModified truncation approach
dc.subjectPainleve
dc.subjectTranscendental function
dc.titleOn the mKdV-Liouville hierarchy and its self-similarity reduction
dc.typeArtigo


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