Variable-Coefficient Evolution Problems via the Fokas Method Part I: Dissipative Case

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-12-17 DOI:10.1111/sapm.12800
Bernard Deconinck, Matthew Farkas
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Abstract

We derive explicit solution representations for linear, dissipative, second-order initial-boundary value problems (IBVPs) with coefficients that are spatially varying, with linear, constant-coefficient, two-point boundary conditions. We accomplish this by considering the variable-coefficient problem as the limit of a constant-coefficient interface problem, previously solved using the unified transform method of Fokas. Our method produces an explicit representation of the solution, allowing us to determine properties of the solution directly. As explicit examples, we demonstrate the solution procedure for different IBVPs of variations of the heat equation, and the linearized complex Ginzburg-Landau (CGL) equation (periodic boundary conditions). We can use this to find the eigenvalues of dissipative second-order linear operators (including non–self-adjoint ones) as roots of a transcendental function, and we can write their eigenfunctions explicitly in terms of the eigenvalues.

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基于Fokas方法的变系数演化问题第一部分:耗散情况
我们导出了具有空间变化系数的线性、耗散、二阶初始边值问题(IBVPs)的显式解表示,该问题具有线性、常系数、两点边界条件。我们通过考虑变系数问题作为常系数界面问题的极限来实现这一点,而常系数界面问题以前是用Fokas的统一变换方法解决的。我们的方法产生解的显式表示,允许我们直接确定解的性质。作为明确的例子,我们展示了不同的IBVPs变化的热方程和线性化的复金兹堡-朗道(CGL)方程(周期边界条件)的求解过程。我们可以用它来找到耗散二阶线性算子(包括非自伴随算子)作为超越函数的根的特征值,并且我们可以用特征值来显式地写出它们的特征函数。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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