Hashemzadeh P, Fokas A S, Smitheman S A
Department of Applied Mathematics and Theoretical Physics , University of Cambridge , Cambridge CB3 0WA, UK.
Department of Applied Mathematics and Theoretical Physics , University of Cambridge , Cambridge CB3 0WA, UK ; Research Center in Mathematics , Academy of Athens , Athens 11527, Greece.
Proc Math Phys Eng Sci. 2015 Mar 8;471(2175):20140747. doi: 10.1098/rspa.2014.0747.
Integral representations for the solution of linear elliptic partial differential equations (PDEs) can be obtained using Green's theorem. However, these representations involve both the Dirichlet and the Neumann values on the boundary, and for a well-posed boundary-value problem (BVPs) one of these functions is unknown. A new transform method for solving BVPs for linear and integrable nonlinear PDEs usually referred to as the () was introduced by the second author in the late Nineties. For linear elliptic PDEs, this method can be considered as the analogue of Green's function approach but now it is formulated in the complex Fourier plane instead of the physical plane. It employs two also formulated in the Fourier plane which couple the Dirichlet and the Neumann boundary values. These relations can be used to characterize the unknown boundary values in terms of the given boundary data, yielding an elegant approach for determining the . The numerical implementation of the unified transform can be considered as the counterpart in the Fourier plane of the well-known boundary integral method which is formulated in the physical plane. For this implementation, one must choose (i) a suitable basis for expanding the unknown functions and (ii) an appropriate set of complex values, which we refer to as collocation points, at which to evaluate the global relations. Here, by employing a variety of examples we present simple guidelines of how the above choices can be made. Furthermore, we provide concrete rules for choosing the collocation points so that the condition number of the matrix of the associated linear system remains low.
线性椭圆型偏微分方程(PDEs)解的积分表示可通过格林定理得到。然而,这些表示涉及边界上的狄利克雷值和诺伊曼值,对于一个适定的边值问题(BVPs),这些函数中的一个是未知的。第二作者在九十年代末引入了一种求解线性和可积非线性PDEs的BVPs的新变换方法,通常称为()。对于线性椭圆型PDEs,该方法可被视为格林函数方法的类似物,但现在它是在复傅里叶平面而非物理平面中表述的。它采用同样在傅里叶平面中表述的两个 ,将狄利克雷边界值和诺伊曼边界值耦合起来。这些关系可用于根据给定的边界数据来刻画未知的边界值,从而产生一种确定 的优雅方法。统一变换的数值实现可被视为在傅里叶平面中与在物理平面中表述的著名边界积分方法相对应的方法。对于这种实现,必须选择(i)用于展开未知函数的合适基,以及(ii)一组合适的复数值,我们将其称为配置点,在这些点处评估全局关系。在此,通过使用各种例子,我们给出关于如何做出上述选择的简单指导方针。此外,我们提供选择配置点的具体规则,以使相关线性系统矩阵的条件数保持较低。