Global well-posedness for the generalized Keller-Segel system in critical Besov-Morrey spaces with variable exponent

This article is devoted to studying the generalized Keller-Segel system (GKS) in homogeneous variable exponent Besov-Morrey spaces. By making use of the Littlewood-Paley theory and the Chemin mono-norm methods, we obtain, when 1/2< β ≤ 1, a global well-posedness result for GKS system with small initial data in the critical variable exponent Besov-Morrey spaces N_{r(·),q(·),h}^{-2β+ n/q(·)}(R^n) with 1 ≤ r(·) ≤ q(·) < ∞, 1 ≤ h ≤ ∞. In the limit case β = 1/2 , we show the global well-posedness for small initial data in N_{r(·),q(·),1}^{-1+ n/q(·)}(R^n) with 1 ≤ r(·) ≤ q(·) < ∞.

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Journal
Studia Universitatis Babes-Bolyai Matematica
Published
2025-09-12
DOI
https://doi.org/10.24193/subbmath.2025.3.08
Primary Topic
Mathematical Biology Tumor Growth
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article
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article

Global well-posedness for the generalized Keller-Segel system in critical Besov-Morrey spaces with variable exponent

Fatima Ouidirne, Jalila El Ghordaf, Brahim El Boukari, Ahmed El Idrissi
Studia Universitatis Babes-Bolyai Matematica
Mathematical Biology Tumor Growth
article

Global well-posedness for the generalized Keller-Segel system in critical Besov-Morrey spaces with variable exponent

Fatima Ouidirne, Jalila El Ghordaf, Brahim El Boukari, Ahmed El Idrissi
article en

Abstract

This article is devoted to studying the generalized Keller-Segel system (GKS) in homogeneous variable exponent Besov-Morrey spaces. By making use of the Littlewood-Paley theory and the Chemin mono-norm methods, we obtain, when 1/2< β ≤ 1, a global well-posedness result for GKS system with small initial data in the critical variable exponent Besov-Morrey spaces N_{r(·),q(·),h}^{-2β+ n/q(·)}(R^n) with 1 ≤ r(·) ≤ q(·) < ∞, 1 ≤ h ≤ ∞. In the limit case β = 1/2 , we show the global well-posedness for small initial data in N_{r(·),q(·),1}^{-1+ n/q(·)}(R^n) with 1 ≤ r(·) ≤ q(·) < ∞.

Studia Universitatis Babes-Bolyai MatematicaVol. 70(3)
Université Sultan Moulay Slimane (MA)
Openalex Percentile: Top 71%
Mathematical Biology Tumor Growth
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