PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 16, 2026Mathematische Nachrichten0 citationsOpen Access

Global Boundedness Induced by Asymptotically Non‐Degenerate Motility in a Fully Parabolic Chemotaxis Model with Local Sensing

View Full Paper
JJJie JiangPLPhilippe Laurençot

Key Points

  • To establish the global boundedness of classical solutions and long-term asymptotic behavior in a fully parabolic Keller–Segel chemotaxis model with local sensing and signal-dependent motility.
  • Analyzed an initial Neumann boundary value problem for a fully parabolic Keller–Segel system featuring repulsion-dominated chemotaxis across arbitrary spatial dimensions.
  • Constructed auxiliary functions and applied refined comparison arguments alongside uniform-in-time functional estimates for nonlinearly coupled variables.
  • Proved the global existence and uniform boundedness of classical solutions in any space dimension under asymptotically non-degenerate motility.
  • Demonstrated asymptotic stabilization toward the unique homogeneous steady state when the motility function is monotone non-decreasing.

Abstract

ABSTRACT A fully parabolic chemotaxis model of Keller–Segel type with local sensing is considered. The system features a signal‐dependent asymptotically non‐degenerate motility function, which accounts for a repulsion‐dominated chemotaxis. Global boundedness of classical solutions is proved for an initial Neumann boundary value problem of the system in any space dimension. In addition, stabilization toward the homogeneous steady state is shown, provided that the motility is monotone non‐decreasing. The key steps of the proof consist of the introduction of several auxiliary functions and a refined comparison argument, along with uniform‐in‐time estimates for a functional involving nonlinear coupling between the unknowns and auxiliary functions.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jiang et al. (2026) studied this question.

synapsesocial.com/papers/6a8178fcf2fb91fc834ac266https://doi.org/10.1002/mana.70197
Ask AI
Helpful
Bookmark
Share
View Full Paper