Universal selection of pulled fronts

Universal selection of pulled fronts
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通用拉边选择

DOI:
10.1090/cams/8
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发表时间:
2022
期刊:
Communications of the American Mathematical Society
影响因子:
--
通讯作者:
Scheel, Arnd
Scheel, Arnd
中科院分区:
--
文献类型:
--
作者:
Avery, Montie;Scheel, Arnd

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我们建立了选择的临界拉前入侵过程中预测的边际稳定性猜想。我们的结果表明,收敛到一个拉前的对数移位开放集的陡峭的初始数据,包括单侧compensate支持的初始条件。我们依赖于强大的,概念性的假设,即存在性和边际谱稳定性的线性传播速度的前旅行,并证明了开放类的空间扩展系统的假设。以前的结果依赖于比较原则或概率工具,隐含的非开放条件的初始数据和结构的方程。从技术上讲,我们描述的入侵过程中,通过相互作用的高斯领先优势的牵引前在唤醒。关键成分是尖锐的线性衰减估计,以控制非线性匹配和初始数据的校正中的误差。引用
We establish selection of critical pulled fronts in invasion processes as predicted by the marginal stability conjecture. Our result shows convergence to a pulled front with a logarithmic shift for open sets of steep initial data, including one-sided compactly supported initial conditions. We rely on robust, conceptual assumptions, namely existence and marginal spectral stability of a front traveling at the linear spreading speed and demonstrate that the assumptions hold for open classes of spatially extended systems. Previous results relied on comparison principles or probabilistic tools with implied nonopen conditions on initial data and structure of the equation. Technically, we describe the invasion process through the interaction of a Gaussian leading edge with the pulled front in the wake. Key ingredients are sharp linear decay estimates to control errors in the nonlinear matching and corrections from initial data. References
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