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A hybrid analytical-numerical method for solving evolution partial differential equations. I. The half-line

机译:一种求解演化偏微分方程的混合解析数值方法。一,半线

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A new method, combining complex analysis with numerics, is introduced for solving a large class of linear partial differential equations (PDEs). This includes any linear constant coefficient PDE, as well as a limited class of PDEs with variable coefficients (such as the Laplace and the Helmholtz equations in cylindrical coordinates). The method yields novel integral representations, even for the solution of classical problems that would normally be solved via the Fourier or Laplace transforms. Examples include the heat equation and the first and second versions of the Stokes equation for arbitrary initial and boundary data on the half-line. The new method has advantages in comparison with classical methods, such as avoiding the solution of ordinary differential equations that result from the classical transforms, as well as constructing integral solutions in the complex plane which converge exponentially fast and which are uniformly convergent at the boundaries. As a result, these solutions are well suited for numerics, allowing the solution to be computed at any point in space and time without the need to time step. Simple deformation of the contours of integration followed by mapping the contours from the complex plane to the real line allow for fast and efficient numerical evaluation of the integrals.
机译:引入了一种将复杂分析与数值相结合的新方法,用于求解一类大型的线性偏微分方程(PDE)。这包括任何线性常数系数PDE,以及一类具有可变系数的PDE(例如圆柱坐标中的Laplace和Helmholtz方程)。该方法甚至可以解决通常通过傅立叶或拉普拉斯变换可以解决的经典问题,也可以产生新颖的积分表示。示例包括热方程以及用于半线上任意初始和边界数据的斯托克斯方程的第一版和第二版。与经典方法相比,该新方法具有优势,例如避免了由经典变换产生的常微分方程的解,以及在复平面上构造了以指数形式快速收敛并且在边界处均匀收敛的积分解。结果,这些解决方案非常适合于数字,从而允许在空间和时间的任何点上计算解决方案,而无需进行时间步长。积分轮廓的简单变形,然后将轮廓从复杂平面映射到实线,可以对积分进行快速有效的数值评估。

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