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The Stochastic Gierer-Meinhardt System

机译:随机 Gierer-Meinhardt 系统

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摘要

The Gierer-Meinhardt system occurs in morphogenesis, where the development of an organism from a single cell is modelled. One of the steps in the development is the formation of spatial patterns of the cell structure, starting from an almost homogeneous cell distribution. Turing proposed different activator-inhibitor systems with varying diffusion rates in his pioneering work, which could trigger the emergence of such cell structures. Mathematically, one describes these activator-inhibitor systems as coupled systems of reaction-diffusion equations with different diffusion coefficients and highly nonlinear interaction. One famous example of these systems is the Gierer-Meinhardt system. These systems usually are not of monotone type, such that one has to apply other techniques. The purpose of this article is to study the stochastic reaction-diffusion Gierer-Meinhardt system with homogeneous Neumann boundary conditions on a one or two-dimensional bounded spatial domain. To be more precise, we perturb the original Gierer-Meinhardt system by an infinite-dimensional Wiener process and show under which conditions on the Wiener process and the initial conditions, a solution exists. In dimension one, we even show the pathwise uniqueness. In dimension two, uniqueness is still an open question.
机译:Gierer-Meinhardt系统发生在形态发生中,其中模拟了生物体从单个细胞的发育。开发中的一个步骤是从几乎均匀的细胞分布开始,形成细胞结构的空间模式。图灵在他的开创性工作中提出了具有不同扩散速率的不同激活剂-抑制剂系统,这可能会引发这种细胞结构的出现。在数学上,人们将这些活化剂-抑制剂系统描述为具有不同扩散系数和高度非线性相互作用的反应-扩散方程的耦合系统。这些系统的一个著名例子是 Gierer-Meinhardt 系统。这些系统通常不是单调类型的,因此必须应用其他技术。本文旨在研究在一维或二维有界空间域上具有齐次诺依曼边界条件的随机反应-扩散 Gierer-Meinhardt 系统。更准确地说,我们用一个无穷维纳过程扰动了原始的Gierer-Meinhardt系统,并显示了在维纳过程和初始条件下存在解。在维度一中,我们甚至展示了路径的唯一性。在第二个维度中,唯一性仍然是一个悬而未决的问题。

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