非线性有源耗散演化方程的最优分析性估计

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED IMA Journal of Applied Mathematics Pub Date : 2022-10-14 DOI:10.1093/imamat/hxac028
D. Papageorgiou, Y. Smyrlis, R. Tomlin
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引用次数: 1

摘要

主动耗散演化方程出现在各种物理和技术应用中,包括液膜流动、火焰传播、材料制造中的外延膜生长等。它们由三个主要成分组成:一个产生增长的项(主动),一个在短长度尺度上提供阻尼的项(耗散),以及一个在模式之间传递能量并关键地产生非线性饱和的非线性项。这三种机制的表现可以产生大的时空混沌,Kuramoto Sivashinsky方程(负扩散、四阶耗散和Burgers非线性)证明了这一点,它可以说是产生混沌的最简单的偏微分方程。这些项的确切形式(尤其是它们的傅立叶符号)决定了方程所具有的吸引子的类型。本研究考虑了在方程具有全局吸引子的假设下解的空间分析性。特别地,我们研究了一类具有Burgers非线性的一维演化伪微分方程解的空间分析性,该方程在空间中是周期性的,从而推广了Kuramoto Sivashinsky方程,其动机是应用及其基本数学性质。分析性是通过使用一个标准来检查的,该标准涉及解决方案的第$n$个空间导数的适当范数相对于空间变量的增长率,因为$n$趋于无穷大。通过微调其他地方开发的光谱方法,可以获得第$n$-个空间导数增长率的估计值。我们证明了如果伪微分算子的耗散阶$\gamma$高于1,则解是解析的。我们还提供了数字证据,表明这是最优的,即,如果$\gamma$不大于1,则该解不是一般的解析解。进行了大量的数值实验来证实分析,并计算支持混沌解的大范围主动耗散项和大空间周期的解的分析性带。这些思想可以应用于一类广泛的有源耗散色散伪微分方程。
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Optimal analyticity estimates for non-linear active-dissipative evolution equations
Active-dissipative evolution equations emerge in a variety of physical and technological applications including liquid film flows, flame propagation, epitaxial film growth in materials manufacturing, to mention a few. They are characterised by three main ingredients: a term producing growth (active), a term providing damping at short length scales (dissipative), and a nonlinear term that transfers energy between modes and crucially produces a nonlinear saturation. The manifestation of these three mechanisms can produce large-time spatiotemporal chaos as evidenced by the Kuramoto-Sivashinsky equation (negative diffusion, fourth order dissipation, and a Burgers nonlinearity), which is arguably the simplest partial differential equation to produce chaos. The exact form of the terms (and in particular their Fourier symbol) determines the type of attractors that the equations possess. The present study considers the spatial analyticity of solutions under the assumption that the equations possess a global attractor. In particular we investigate the spatial analyticity of solutions of a class of one-dimensional evolutionary pseudo-differential equations with Burgers nonlinearity, which are periodic in space, thus generalising the Kuramoto-Sivashinsky equation motivated by both applications and their fundamental mathematical properties. Analyticity is examined by utilising a criterion involving the rate of growth of suitable norms of the $n$-th spatial derivative of the solution, with respect to the spatial variable, as $n$ tends to infinity. An estimate of the rate of growth of the $n$-th spatial derivative is obtained by fine-tuning the spectral method, developed elsewhere. We prove that the solutions are analytic if $\gamma $, the order of dissipation of the pseudo-differential operator, is higher than one. We also present numerical evidence suggesting that this is optimal, i.e., if $\gamma $ is not larger that one, then the solution is not in general analytic. Extensive numerical experiments are undertaken to confirm the analysis and also to compute the band of analyticity of solutions for a wide range of active-dissipative terms and large spatial periods that support chaotic solutions. These ideas can be applied to a wide class of active-dissipative-dispersive pseudo-differential equations.
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
32
审稿时长
24 months
期刊介绍: The IMA Journal of Applied Mathematics is a direct successor of the Journal of the Institute of Mathematics and its Applications which was started in 1965. It is an interdisciplinary journal that publishes research on mathematics arising in the physical sciences and engineering as well as suitable articles in the life sciences, social sciences, and finance. Submissions should address interesting and challenging mathematical problems arising in applications. A good balance between the development of the application(s) and the analysis is expected. Papers that either use established methods to address solved problems or that present analysis in the absence of applications will not be considered. The journal welcomes submissions in many research areas. Examples are: continuum mechanics materials science and elasticity, including boundary layer theory, combustion, complex flows and soft matter, electrohydrodynamics and magnetohydrodynamics, geophysical flows, granular flows, interfacial and free surface flows, vortex dynamics; elasticity theory; linear and nonlinear wave propagation, nonlinear optics and photonics; inverse problems; applied dynamical systems and nonlinear systems; mathematical physics; stochastic differential equations and stochastic dynamics; network science; industrial applications.
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