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dc.contributor.author Vilches, E
dc.contributor.author Zeng, SD
dc.date.accessioned 2024-01-17T15:54:38Z
dc.date.available 2024-01-17T15:54:38Z
dc.date.issued 2021
dc.identifier.uri https://repositorio.uoh.cl/handle/611/574
dc.description.abstract In this paper, we propose a new methodology to study evolutionary variational-hemivariational inequalities based on the theory of evolution equations governed by maximal monotone operators. More precisely, the proposed approach, based on a hidden maximal monotonicity, is used to explore the well-posedness for a class of evolutionary variational-hemivariational inequalities involving history-dependent operators and related problems with periodic and antiperiodic boundary conditions. The applicability of our theoretical results is illustrated through applications to a fractional evolution inclusion and a dynamic semipermeability problem.
dc.description.sponsorship NNSF of China(National Natural Science Foundation of China (NSFC))
dc.description.sponsorship European Union(European Union (EU))
dc.description.sponsorship National Science Center of Poland(National Science Centre, Poland)
dc.description.sponsorship Startup Project of Doctor Scientific Research of Yulin Normal University
dc.description.sponsorship Natural Science Foundation of Guangxi(National Natural Science Foundation of Guangxi Province)
dc.description.sponsorship Ministry of Science and Higher Education of Republic of Poland(Ministry of Science and Higher Education, Poland)
dc.description.sponsorship ANID-Chile under grant Fondecyt de Iniciacion
dc.relation.uri http://dx.doi.org/10.15388/namc.2021.26.24941
dc.subject evolutionary variational-hemivariational inequality
dc.subject history-dependent operator
dc.subject Clarke subdifferential
dc.subject fractional evolution inclusion
dc.subject semipermeability problem
dc.title Hidden maximal monotonicity in evolutionary variational-hemivariational inequalities
dc.type Artículo
uoh.revista NONLINEAR ANALYSIS-MODELLING AND CONTROL
dc.identifier.doi 10.15388/namc.2021.26.24941
dc.citation.volume 26
dc.citation.issue 6
dc.identifier.orcid Zeng, Shengda/0000-0003-1818-842X
dc.identifier.orcid Vilches, Emilio/0000-0002-4387-9313
uoh.indizacion Web of Science


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