Curvature in chemotaxis: A model for ant trail pattern formation

In this paper, we propose a new model of chemotaxis motivated by ant trail pattern formation, formulated as a coupled parabolic–parabolic local PDE system, for the population density and the chemical field. The main novelty lies in the transport term of the population density, which depends on the second-order derivatives of the chemical field. This term is derived as an anticipation-reaction steering mechanism of an infinitesimally small ant as its size approaches zero. We establish global-in-time existence and uniqueness for the model, and the propagation of regularity from the initial data. Then, we build a numerical scheme and present various examples that provide hints of trail formation.

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Publication Details

Journal
Mathematical Models and Methods in Applied Sciences
Published
2025-06-27
DOI
https://doi.org/10.1142/s0218202525500496
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Curvature in chemotaxis: A model for ant trail pattern formation

Milica N. Tomašević, Charles Bertucci, Matthias Rakotomalala
Mathematical Models and Methods in Applied Sciences
Mathematical Biology Tumor Growth
article

Curvature in chemotaxis: A model for ant trail pattern formation

Milica N. Tomašević, Charles Bertucci, Matthias Rakotomalala
article en

Abstract

In this paper, we propose a new model of chemotaxis motivated by ant trail pattern formation, formulated as a coupled parabolic–parabolic local PDE system, for the population density and the chemical field. The main novelty lies in the transport term of the population density, which depends on the second-order derivatives of the chemical field. This term is derived as an anticipation-reaction steering mechanism of an infinitesimally small ant as its size approaches zero. We establish global-in-time existence and uniqueness for the model, and the propagation of regularity from the initial data. Then, we build a numerical scheme and present various examples that provide hints of trail formation.

Mathematical Models and Methods in Applied SciencesVol. 35(12)
Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Centre de Mathématiques Appliquées de l'École polytechnique (FR)
Openalex Percentile: Top 82%
Mathematical Biology Tumor Growth
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