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Research Article | Open Access

Positivity and global existence for nonlocal advection-diffusion models of interacting populations

Valeria Giunta1( )Thomas Hillen2Mark A. Lewis3Jonathan R. Potts4
School of Mathematics and Computer Science, University of Swansea, Computational Foundry, Crymlyn Burrows, Skewen, Swansea SA1 8DD, UK
Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada
Department of Mathematics and Statistics and Department of Biology, University of Victoria, PO Box 1700 Station CSC, Victoria, BC, Canada
School of Mathematical and Physical Sciences, University of Sheffield, Hicks Building, Hounsfield Road, Sheffield S3 7RH, UK
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Abstract

We study a broad class of nonlocal advection-diffusion models describing the behaviour of an arbitrary number of interacting species, each moving in response to the nonlocal presence of others. Our model allows for different nonlocal interaction kernels for each species and arbitrarily many spatial dimensions. We prove the global existence of both non-negative weak solutions in any spatial dimension and positive classical solutions in one spatial dimension. These results generalise and unify various existing results regarding existence of nonlocal advection-diffusion equations. We demonstrate that solutions can blow up in finite time when the detection radius becomes zero, i.e. when the system is local, thus showing that nonlocality is essential for the global existence of solutions. We verify our results with numerical simulations on 2D spatial domains.

CLC number: 35A01, 35B09, 35B65, 35R09

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AIMS Mathematics
Pages 21254-21272

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Cite this article:
Giunta V, Hillen T, Lewis MA, et al. Positivity and global existence for nonlocal advection-diffusion models of interacting populations. AIMS Mathematics, 2025, 10(9): 21254-21272. https://doi.org/10.3934/math.2025949

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Received: 11 December 2024
Revised: 07 August 2025
Accepted: 02 September 2025
Published: 16 September 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)