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dc.contributor.authorFaria, Teresa
dc.contributor.authorObaya, Rafael 
dc.contributor.authorSanz Gil, Ana María 
dc.date.accessioned2017-09-19T20:33:30Z
dc.date.available2017-09-19T20:33:30Z
dc.date.issued2017
dc.identifier.citationJournal of Dynamics and Differential Equations (2017)es
dc.identifier.issn1040-7294es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/25761
dc.description.abstractThe paper concerns a class of n-dimensional non-autonomous delay differential equations obtained by adding a non-monotone delayed perturbation to a linear homogeneous cooperative system of ordinary differential equations. This family covers a wide set of models used in structured population dynamics. By exploiting the stability and the monotone character of the linear ODE, we establish sufficient conditions for both the extinction of all the populations and the permanence of the system. In the case of DDEs with autonomous coefficients (but possible time-varying delays), sharp results are obtained, even in the case of a reducible community matrix. As a sub-product, our results improve some criteria for autonomous systems published in recent literature. As an important illustration, the extinction, persistence and permanence of a non-autonomous Nicholson system with patch structure and multiple time-dependent delays are analysed.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleAsymptotic Behaviour for a Class of Non-monotone Delay Differential Systems with Applicationses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1007/s10884-017-9572-8es
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10884-017-9572-8es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad /FEDER (MTM2015-66330)
dc.description.projectFundaçao para a Ciencia e a Tecnologia under project UID/MAT/-04561/2013
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/643073
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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