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arXiv 1104.3592math.AP
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早期癌发生反应扩散模型中的不稳定模式

Unstable patterns in reaction-diffusion model of early carcinogenesis

Anna Marciniak-Czochra, Grzegorz Karch, Kanako Suzuki

摘要:

出于数值模拟显示出现的周期性或不规则的图案,我们探索的图案形成机制所描述的一个系统的一个单一的反应扩散方程与常微分方程耦合的过程中产生的。我们专注于Marciniak-Czochra和Kimmel提出的早期癌症发生的基本模型[Comput. { \bf 7}(2006),189- 213],[Math. Models Methods Appl.Sci. { \bf 17}(2007),增刊,1693- 1719],但我们开发的理论适用于更广泛的一类图案形成模型与自催化非扩散组件。该模型表现出扩散驱动的不稳定性(图灵型不稳定性)。然而,我们证明了所有的图灵型模式,{ \it即,}正则定态解在李雅普诺夫意义下是不稳定的。此外,我们还证明了不连续稳定解的存在性,这些解也是不稳定的。

英文摘要:

Motivated by numerical simulations showing the emergence of either periodic or irregular patterns, we explore a mechanism of pattern formation arising in the processes described by a system of a single reaction-diffusion equation coupled with ordinary differential equations. We focus on a basic model of early cancerogenesis proposed by Marciniak-Czochra and Kimmel [Comput. Math. Methods Med. {\bf 7} (2006), 189--213], [Math. Models Methods Appl. Sci. {\bf 17} (2007), suppl., 1693--1719], but the theory we develop applies to a wider class of pattern formation models with an autocatalytic non-diffusing component. The model exhibits diffusion-driven instability (Turing-type instability). However, we prove that all Turing-type patterns, {\it i.e.,} regular stationary solutions, are unstable in the Lyapunov sense. Furthermore, we show existence of discontinuous stationary solutions, which are also unstable.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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