Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56294
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dc.contributor.authorDu, Yihongen
dc.date.accessioned2023-10-06T03:54:02Z-
dc.date.available2023-10-06T03:54:02Z-
dc.date.issued2022-01-31-
dc.identifier.citationBulletin of Mathematical Sciences, 12(01), p. 1-56en
dc.identifier.issn1664-3615en
dc.identifier.issn1664-3607en
dc.identifier.urihttps://hdl.handle.net/1959.11/56294-
dc.description.abstract<p>In this short survey, we describe some recent developments on the modeling of propagation by reaction-differential equations with free boundaries, which involve local as well as nonlocal diffusion. After the pioneering works of Fisher, Kolmogorov–Petrovski–Piskunov (KPP) and Skellam, the use of reaction–diffusion equations to model propagation and spreading speed has been widely accepted, with remarkable progresses achieved in several directions, notably on propagation in heterogeneous media, models for interacting species including epidemic spreading, and propagation in shifting environment caused by climate change, to mention but a few. Such models involving a free boundary to represent the spreading front have been studied only recently, but fast progress has been made. Here, we will concentrate on these free boundary models, starting with those where spatial dispersal is represented by local diffusion. These include the Fisher–KPP model with free boundary and related problems, where both the one space dimension and high space dimension cases will be examined; they also include some two species population models with free boundaries, where we will show how the long-time dynamics of some competition models can be fully determined. We then consider the nonlocal Fisher–KPP model with free boundary, where the diffusion operator Δ<i>u</i> is replaced by a nonlocal one involving a kernel function. We will show how a new phenomenon, known as accelerated spreading, can happen to such a model. After that, we will look at some epidemic models with nonlocal diffusion and free boundaries, and show how the long-time dynamics can be rather fully described. Some remarks and comments are made at the end of each section, where related problems and open questions will be briefly discussed.</p>en
dc.languageenen
dc.publisherWorld Scientific Publishing Co Pte Ltden
dc.relation.ispartofBulletin of Mathematical Sciencesen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titlePropagation and reaction–diffusion models with free boundariesen
dc.typeJournal Articleen
dc.identifier.doi10.1142/S1664360722300018en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameYihongen
local.relation.isfundedbyARCen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailydu@une.edu.auen
local.output.categoryC1en
local.grant.numberDP190103757en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSingaporeen
local.identifier.runningnumber2230001en
local.format.startpage1en
local.format.endpage56en
local.peerreviewedYesen
local.identifier.volume12en
local.identifier.issue01en
local.access.fulltextYesen
local.contributor.lastnameDuen
dc.identifier.staffune-id:yduen
local.profile.orcid0000-0002-1235-0636en
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/56294en
dc.identifier.academiclevelAcademicen
local.title.maintitlePropagation and reaction–diffusion models with free boundariesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionARC/DP190103757en
local.search.authorDu, Yihongen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/bd32e07a-599b-4c93-a3b8-8131fa4c97c7en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2022en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/bd32e07a-599b-4c93-a3b8-8131fa4c97c7en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/bd32e07a-599b-4c93-a3b8-8131fa4c97c7en
local.subject.for2020490410 Partial differential equationsen
local.subject.for2020490105 Dynamical systems in applicationsen
local.subject.seo2020280118 Expanding knowledge in the mathematical sciencesen
local.profile.affiliationtypeUNE Affiliationen
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School of Science and Technology
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