Dissipative Gradient Nonlinearities Prevent δ$\delta$‐Formations in Local and Nonlocal Attraction–Repulsion Chemotaxis Models

ABSTRACT We study a class of zero‐flux attraction–repulsion chemotaxis models, characterized by nonlinearities laws for the diffusion of the cell density , the chemosensitivities and the production rates of the chemoattractant and the chemorepellent . In addition, a source involving also the gradient of is incorporated. Our overall study touches on different aspects: we address questions connected to local well‐posedness, we derive sufficient conditions to ensure boundedness of solutions, and finally, we develop numerical simulations giving insights into the evolution of the system.

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Publication Details

Journal
Studies in Applied Mathematics
Published
2025-02-01
DOI
https://doi.org/10.1111/sapm.70018
Citations
35
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
47.88

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article

Dissipative Gradient Nonlinearities Prevent δ$\delta$‐Formations in Local and Nonlocal Attraction–Repulsion Chemotaxis Models

Alessandro Columbu, Giuseppe Viglialoro, Daniel Acosta‐Soba, Tongxing Li
35 citations
Studies in Applied Mathematics
Mathematical Biology Tumor Growth
47.88
article

Dissipative Gradient Nonlinearities Prevent δ$\delta$‐Formations in Local and Nonlocal Attraction–Repulsion Chemotaxis Models

Alessandro Columbu, Giuseppe Viglialoro, Daniel Acosta‐Soba, Tongxing Li
article en
35 citations

Abstract

ABSTRACT We study a class of zero‐flux attraction–repulsion chemotaxis models, characterized by nonlinearities laws for the diffusion of the cell density , the chemosensitivities and the production rates of the chemoattractant and the chemorepellent . In addition, a source involving also the gradient of is incorporated. Our overall study touches on different aspects: we address questions connected to local well‐posedness, we derive sufficient conditions to ensure boundedness of solutions, and finally, we develop numerical simulations giving insights into the evolution of the system.

Studies in Applied MathematicsVol. 154(2)
Shandong University (CN), University of Cagliari (IT), University of Tennessee at Chattanooga (US), Universidad de Cádiz (ES)
National Science Foundation, Istituto Nazionale di Alta Matematica "Francesco Severi", University of Central Arkansas, Fondazione di Sardegna, University of Tennessee at Chattanooga, National Natural Science Foundation of China, Ministero dell’Istruzione, dell’Università e della Ricerca, Universidad de Cádiz, Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni
Openalex Percentile: Top 0%
Mathematical Biology Tumor Growth
47.88
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