带 Dirichlet 边界条件的拉普拉斯方程奇异相似解的研究

Chao-Kang Feng, Jyh-Haw Tang
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摘要

利用基本的变量分离法,找到了具有不连续 Dirichlet 边界条件的拉普拉斯方程边界值问题的无穷级数解。本文的优点在于可以从矩形域中的基本无穷级数解生成闭式解或半无限条带域和第一象限域中的奇异相似解。此外,根据叠加原理,矩形域中的无穷级数解可以与半无限条带域中的奇异相似解相关联。研究证明,矩形域中某些奇异点附近的无穷级数解中的分析源型奇异行为可以从半无限条形域中的奇异相似解中得到揭示。通过扩展矩形域的边界,可以推导出拉普拉斯方程在第一象限域中的无穷级数解,从而直接获得解析奇异相似解,比使用傅立叶变换、图像和保角映射等方法简单得多。
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A Study of Singular Similarity Solutions to Laplace’s Equation with Dirichlet Boundary Conditions
The infinite series solution to the boundary-value problems of Laplace’s equation with discontinuous Dirichlet boundary conditions was found by using the basic method of separation of variables. The merit of this paper is that the closed-form solution, or the singular similarity solution in the semi-infinite strip domain and the first-quadrant domain, can be generated from the basic infinite series solution in the rectangular domain. Moreover, based on the superposition principle, the infinite series solution in the rectangular domain can be related to the singular similarity solution in the semi-infinite strip domain. It is proven that the analytical source-type singular behavior in the infinite series solution near certain singular points in the rectangular domain can be revealed from the singular similarity solution in the semi-infinite strip domain. By extending the boundary of the rectangular domain, the infinite series solution to Laplace’s equation in the first-quadrant domain can be derived to obtain the analytical singular similarity solution in a direct and much easier way than by using the methods of Fourier transform, images, and conformal mapping.
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