Existence, Uniqueness and Stability of Strictly Positive Entire Solutions to a Fractional Keller‐Segel Model With Time‐Space Dependent Logistic Source

ABSTRACT This paper is devoted to the study of the asymptotic dynamics in the fractional parabolic‐elliptic Keller‐Segel system on with time‐space dependent logistic source. In [36], among others, we established a theory on the global existence, uniqueness, pointwise and uniform persistence of classical solutions to this fractional Keller‐Segel system. In this paper, we prove the existence, uniqueness, and stability of strictly positive entire solutions of this system. In summary, the results of our paper extend some of the results obtained earlier in [36].

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-02-14
DOI
https://doi.org/10.1002/mma.70586
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Existence, Uniqueness and Stability of Strictly Positive Entire Solutions to a Fractional Keller‐Segel Model With Time‐Space Dependent Logistic Source

ZUHAN LIU, Weiyi Zhang, Ling Zhou
Mathematical Methods in the Applied Sciences
Mathematical Biology Tumor Growth
article

Existence, Uniqueness and Stability of Strictly Positive Entire Solutions to a Fractional Keller‐Segel Model With Time‐Space Dependent Logistic Source

ZUHAN LIU, Weiyi Zhang, Ling Zhou
article en

Abstract

ABSTRACT This paper is devoted to the study of the asymptotic dynamics in the fractional parabolic‐elliptic Keller‐Segel system on with time‐space dependent logistic source. In [36], among others, we established a theory on the global existence, uniqueness, pointwise and uniform persistence of classical solutions to this fractional Keller‐Segel system. In this paper, we prove the existence, uniqueness, and stability of strictly positive entire solutions of this system. In summary, the results of our paper extend some of the results obtained earlier in [36].

Mathematical Methods in the Applied Sciences
Suzhou University of Science and Technology (CN), Yangzhou University (CN)
Openalex Percentile: Top 58%
Mathematical Biology Tumor Growth
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