A quantitative strong parabolic maximum principle and application to a taxis-type migration–consumption model involving signal-dependent degenerate diffusion

IF 1.8 1区 数学 Q1 MATHEMATICS, APPLIED
M. Winkler
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引用次数: 13

Abstract

The taxis-type migration-consumption model accounting for signal-dependent motilities, as given by ( u t = ∆ ( ) is considered for suitably smooth functions φ : [0 , ∞ ) → R which are such that φ > 0 on (0 , ∞ ), but that in addition φ (0) = 0 with φ ′ (0) > 0. In order to appropriately cope with the diffusion degeneracies thereby included, this study separately examines the Neumann problem for the linear equation and establishes a statement on how pointwise positive lower bounds for nonnegative solutions depend on the supremum and the mass of the initial data, and on integrability features of a and b . This is thereafter used as a key tool in the derivation of a result on global existence of solutions to ( ⋆ ), smooth and classical for positive times, under the mere assumption that the suitably regular initial data be nonnegative in both components. Apart from that, these solutions are seen to stabilize toward some equilibrium, and as a qualitative effect genuinely due to degeneracy in diffusion, a criterion on initial smallness of the second component is identified as sufficient for this limit state to be spatially nonconstant.
一个定量强抛物极大值原理及其在包含信号依赖退化扩散的出租车型迁移-消耗模型中的应用
考虑(ut =∆()给出的考虑信号依赖运动的出租车型迁移-消费模型,适用于φ:[0,∞)→R的光滑函数,该光滑函数在(0,∞)上φ > 0,但在φ '(0) > 0时φ(0) = 0。为了适当地处理由此包含的扩散退化,本研究分别考察了线性方程的Neumann问题,并建立了关于非负解的点向正下界如何依赖于初始数据的极大值和质量,以及a和b的可积性特征的陈述。此后,这被用作推导(-)解的全局存在性结果的关键工具,对于正时间,在适当的规则初始数据在两个分量中都是非负的假设下,光滑和经典。除此之外,这些解被视为稳定地趋于某种平衡,并且作为真正由于扩散退化而产生的定性效应,第二个分量的初始小的判据被确定为足以使该极限状态在空间上是非恒定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
5.30%
发文量
62
审稿时长
>12 weeks
期刊介绍: The Nonlinear Analysis section of the Annales de l''Institut Henri Poincaré is an international journal created in 1983 which publishes original and high quality research articles. It concentrates on all domains concerned with nonlinear analysis, specially applicable to PDE, mechanics, physics, economy, without overlooking the numerical aspects.
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