Dynamic behaviors of a receptor-based model

In this paper, we consider a diffusion equation coupled to an ordinary differential equation, modeling the interaction between receptors and ligands. We first prove the existence of global-in-time solutions for all bounded and non-negative initial conditions. Then large-time behavior of solutions is studied. Our result shows that each positive solution converges to the constant solutions as time [Formula: see text] tends to infinity. Finally, we construct both traveling back and traveling front solutions by applying the blow up method.

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Publication Details

Journal
International Journal of Biomathematics
Published
2024-12-11
DOI
https://doi.org/10.1142/s1793524524501547
Primary Topic
stochastic dynamics and bifurcation
Type
article
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article

Dynamic behaviors of a receptor-based model

Yongkang Lu, Lingling Hou, Conghui Zhang
International Journal of Biomathematics
stochastic dynamics and bifurcation
article

Dynamic behaviors of a receptor-based model

Yongkang Lu, Lingling Hou, Conghui Zhang
article en

Abstract

In this paper, we consider a diffusion equation coupled to an ordinary differential equation, modeling the interaction between receptors and ligands. We first prove the existence of global-in-time solutions for all bounded and non-negative initial conditions. Then large-time behavior of solutions is studied. Our result shows that each positive solution converges to the constant solutions as time [Formula: see text] tends to infinity. Finally, we construct both traveling back and traveling front solutions by applying the blow up method.

International Journal of Biomathematics
Beijing University of Civil Engineering and Architecture (CN), Xinjiang University (CN)
Openalex Percentile: Top 79%
stochastic dynamics and bifurcation
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