4.7 Article

Blowup solutions for the nonlocal shadow limit model of a singular Gierer-Meinhardt system with critical parameters

期刊

JOURNAL OF DIFFERENTIAL EQUATIONS
卷 336, 期 -, 页码 73-125

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jde.2022.07.010

关键词

Blowup profile; Stability; Semilinear heat equation; Nonlocal equation; Gierer-Meinhart system; Shadow limit model

资金

  1. International Center for Research and Postgraduate Training in Mathematics -Institute of Mathematics Vietnam Academy of Science and Technology [ICRTM04_2021.05]

向作者/读者索取更多资源

In this paper, we consider a nonlocal parabolic PDE and study the construction and asymptotic behavior of the blow-up solution in the critical parameter regime. Using a formal and rigorous approach, we find an approximate solution, linearize the equation, and reduce the problem to a finite-dimensional one. By applying index theory, we solve the finite-dimensional problem and obtain the exact solution to the full problem.
We consider a nonlocal parabolic PDE, which may be regarded as the standard semilinear heat equation with power nonlinearity, where the nonlinear term is divided by some Sobolev norm of the solution. Unlike the earlier work in [13] where we consider a subcritical regime of parameters, we focus here on the critical regime, which is much more complicated. Our main result concerns the construction of a blow-up solution with the description of its asymptotic behavior. Our method relies on a formal approach, where we find an approximate solution. Then, adopting a rigorous approach, we linearize the equation around that approximate solution, and reduce the question to a finite dimensional problem. Using an argument based on index theory, we solve that finite-dimensional problem, and derive an exact solution to the full problem. We would like to point out that our constructed solution has a new blowup speed with a log correction term, which makes it different from the speed in the subcritical range of parameters and the standard heat equation. (C) 2022 Elsevier Inc. All rights reserved.

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