Local Estimates for Minimizers of Some Convex Integral Functional of the Gradient and the Strong Maximum Principle

dc.contributor.authorGoncharov, Vladimir V.
dc.contributor.authorSantos, Telma J.
dc.contributor.editorRicceri, Biagio
dc.contributor.editorMordukhovich, Boris S.
dc.date.accessioned2012-01-30T16:52:03Z
dc.date.available2012-01-30T16:52:03Z
dc.date.issued2011-03-17
dc.description.abstractWe consider a class of convex integral functionals with lagrangeans depending only on the gradient and satisfying a generalized symmetry assumption, which includes as a particular case the rotational symmetry. Adapting the method by A. Cellina we obtain a kind of local estimates for minimizers in the respective variational problems, which is applied then to deduce some versions of the Strong Maximum Principle in the variational setting.por
dc.identifier.authoremailgoncha@uevora.pt
dc.identifier.authoremailtjfs@uevora.pt
dc.identifier.citationSet-Valued and Variational Analysis Volume 19, Number 2, 179-202, 2011por
dc.identifier.doi10.1007/s11228-011-0176-x
dc.identifier.scientificarea334por
dc.identifier.urihttp://hdl.handle.net/10174/4577
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.rightsrestrictedAccesspor
dc.subjectStrong Maximum Principlepor
dc.subjectComparison Theoremspor
dc.titleLocal Estimates for Minimizers of Some Convex Integral Functional of the Gradient and the Strong Maximum Principlepor
dc.typearticlepor
degois.publication.firstPage179por
degois.publication.issue11228por
degois.publication.lastPage202por
degois.publication.locationNetherlandspor
degois.publication.titleSet-Valued and Variational Analysis - Theory and Applicationspor
degois.publication.volume19por

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