Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105735
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematicsen_US
dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorTao, Wen_US
dc.creatorWang, ZAen_US
dc.creatorYang, Wen_US
dc.date.accessioned2024-04-15T07:45:04Z-
dc.date.available2024-04-15T07:45:04Z-
dc.identifier.issn1021-9722en_US
dc.identifier.urihttp://hdl.handle.net/10397/105735-
dc.language.isoenen_US
dc.publisherBirkhaeuser Scienceen_US
dc.rights© 2024 The Author(s)en_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Tao, W., Wang, ZA. & Yang, W. Global dynamics of a two-species clustering model with Lotka–Volterra competition. Nonlinear Differ. Equ. Appl. 31, 47 (2024) is available at https://doi.org/10.1007/s00030-024-00934-7.en_US
dc.subjectBoundednessen_US
dc.subjectClustering modelen_US
dc.subjectGlobal stabilityen_US
dc.subjectLotka–Volterra competitionen_US
dc.subjectLyapunov functionalen_US
dc.titleGlobal dynamics of a two-species clustering model with Lotka–Volterra competitionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume31en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1007/s00030-024-00934-7en_US
dcterms.abstractThis paper is concerned with the global dynamics of a two-species Grindrod clustering model with Lotka–Volterra competition. The model takes the advective flux to depend directly upon local population densities without requiring intermediate signals like attractants or repellents to form the aggregation so as to increase the chances of survival of individuals like human populations forming small nucleated settlements. By imposing appropriate boundary conditions, we establish the global boundedness of solutions in two-dimensional bounded domains. Moreover, we prove the global stability of spatially homogeneous steady states under appropriate conditions on system parameters, and show that the rate of convergence to the coexistence steady state is exponential while the rate of convergence to the competitive exclusion steady state is algebraic.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNonlinear differential equations and applications : NoDEA, July 2024, v. 31, no. 4, 47en_US
dcterms.isPartOfNonlinear differential equations and applications : NoDEAen_US
dcterms.issued2024-07-
dc.identifier.scopus2-s2.0-85189882797-
dc.identifier.eissn1420-9004en_US
dc.identifier.artn47en_US
dc.description.validate202404 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNSFC; PolyU; Postdoc Matching Fund Scheme; National Key R &D Program of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.TASpringer Nature (2024)en_US
dc.description.oaCategoryTAen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
s00030-024-00934-7.pdf829.34 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

3
Citations as of May 12, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.