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Theory Article | Open Access

Linear and nonlinear selection principles for the minimal traveling wave speed in a three-species competitive system with nonlocal interactions

School of Mathematics and Statistics, Hunan First Normal University, Changsha 410205, China
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Abstract

This work investigates the selection principle of the critical speed in a three-species Lotka–Volterra competitive system with nonlocal diffusion. The system incorporates symmetric convolution kernels for interspecific couplings and, after a suitable change of variables, is recast into a cooperative framework. By applying the method of super- and subsolutions, we construct a novel pair of upper and lower solutions for the traveling-wave ordinary differential equations. This construction furnishes new analytic criteria that distinguish between linear and nonlinear selection of the minimal propagation speed. In particular, our results show that under suitable parameter regimes, the minimal wave speed coincides the linear prediction from the system's unstable equilibrium (linear determinacy), whereas sufficiently strong competition among the three species causes the minimal wave to travel faster than the linear theory predicts (nonlinear determinacy). These findings advance the understanding of wave speed selection in reaction–diffusion systems with nonlocal interactions by delineating the boundary between linear (pulled) and nonlinear (pushed) invasion fronts.

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Electronic Research Archive
Pages 7601-7618

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Cite this article:
Guo J. Linear and nonlinear selection principles for the minimal traveling wave speed in a three-species competitive system with nonlocal interactions. Electronic Research Archive, 2026, 34(10): 7601-7618. https://doi.org/10.3934/era.2026328

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Received: 24 June 2026
Revised: 27 August 2026
Accepted: 28 August 2026
Published: 15 October 2026
©2026 the Author(s), licensee AIMS Press.

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