Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114826
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dc.contributorDepartment of Applied Mathematics-
dc.creatorTao, W-
dc.creatorWang, ZA-
dc.date.accessioned2025-09-01T01:52:39Z-
dc.date.available2025-09-01T01:52:39Z-
dc.identifier.issn0956-7925-
dc.identifier.urihttp://hdl.handle.net/10397/114826-
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.rights© The Author(s), 2025. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.en_US
dc.rightsThe following publication Tao, W., & Wang, Z.-A. (2025). Global well-posedness and Turing–Hopf bifurcation of prey-taxis systems with hunting cooperation. European Journal of Applied Mathematics, 1–27 is available at https://doi.org/10.1017/S0956792525000026.en_US
dc.subjectGlobal boundednessen_US
dc.subjectHunting cooperationen_US
dc.subjectPrey-taxisen_US
dc.subjectTuring-Hopf bifurcationen_US
dc.titleGlobal well-posedness and Turing-Hopf bifurcation of prey-taxis systems with hunting cooperationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1017/S0956792525000026-
dcterms.abstractThis paper is concerned with a predator–prey system with hunting cooperation and prey-taxis under homogeneous Neumann boundary conditions. We establish the existence of globally bounded solutions in two dimensions. In three or higher dimensions, the global boundedness of solutions is obtained for the small prey-tactic coefficient. By using hunting cooperation and prey species diffusion as bifurcation parameters, we conduct linear stability analysis and find that both hunting cooperation and prey species diffusion can drive the instability to induce Hopf, Turing and Turing–Hopf bifurcations in appropriate parameter regimes. It is also found that prey-taxis is a factor stabilizing the positive constant steady state. We use numerical simulations to illustrate various spatiotemporal patterns arising from the abovementioned bifurcations including spatially homogeneous and inhomogeneous time-periodic patterns, stationary spatial patterns and chaotic fluctuations.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEuropean journal of applied mathematics, Published online by Cambridge University Press: 24 February 2025, FirstView, https://doi.org/10.1017/S0956792525000026-
dcterms.isPartOfEuropean journal of applied mathematics-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-85219109402-
dc.identifier.eissn1469-4425-
dc.description.validate202509 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe research of W. Tao was partially supported by the National Natural Science Foundation of China (No. 12201082), Start-up Research Fund of Southeast University (No. RF1028624193), PolyU Postdoc Matching Fund Scheme Project ID P0030816/B-Q75G, 1-W15F and 1-YXBT. The research of Z.-A. Wang was partially supported by the NSFC/RGC Joint Research Scheme sponsored by the Research Grants Council of Hong Kong and the National Natural Science Foundation of China (Project No. N−PolyU509/22) and an internal grant (no. 1-WZ03) from the Hong Kong Polytechnic University.en_US
dc.description.pubStatusEarly releaseen_US
dc.description.TACUP (2025)en_US
dc.description.oaCategoryTAen_US
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