Diffusive Resource–Consumer Dynamics With the Simplest Learning Mechanism and Nonlocal Memory Usage

ABSTRACT To describe cognitive consumers' movement, we study a diffusive resource–consumer model with nonlocal memory usage described by a system of parabolic equations, which is coupled with spatial memory dynamics described by a linear learning equation. The analysis in this paper is mathematically challenging and originally resolves Open Problem 21 in [1] with the simplest learning mechanism. Under certain conditions, the system possesses a unique globally Hölder continuous weak solution. We investigate the existence of steady‐state bifurcation, as well as the bifurcation direction. Finally, a numerical simulation illustrates and verifies our key theoretical result.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-09-16
DOI
https://doi.org/10.1002/mma.70097
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.88
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article

Diffusive Resource–Consumer Dynamics With the Simplest Learning Mechanism and Nonlocal Memory Usage

Hao Wang A, Ranchao Wu, Qigang Deng
1 citations
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
article

Diffusive Resource–Consumer Dynamics With the Simplest Learning Mechanism and Nonlocal Memory Usage

Hao Wang A, Ranchao Wu, Qigang Deng
article en
1 citations

Abstract

ABSTRACT To describe cognitive consumers' movement, we study a diffusive resource–consumer model with nonlocal memory usage described by a system of parabolic equations, which is coupled with spatial memory dynamics described by a linear learning equation. The analysis in this paper is mathematically challenging and originally resolves Open Problem 21 in [1] with the simplest learning mechanism. Under certain conditions, the system possesses a unique globally Hölder continuous weak solution. We investigate the existence of steady‐state bifurcation, as well as the bifurcation direction. Finally, a numerical simulation illustrates and verifies our key theoretical result.

Mathematical Methods in the Applied SciencesVol. 48(18)
Anhui University (CN), University of Alberta (CA)
Openalex Percentile: Top 12%
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
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