On solving non-homogeneous partial differential equations with right-hand side defined on the grid

Pub Date : 2021-09-01 DOI:10.35634/vm210307
L. I. Rubina, O. N. Ul’yanov
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引用次数: 1

Abstract

An algorithm is proposed for obtaining solutions of partial differential equations with right-hand side defined on the grid $\{ x_{1}^{\mu}, x_{2}^{\mu}, \ldots, x_{n}^{\mu}\},\ (\mu=1,2,\ldots,N)\colon f_{\mu}=f(x_{1}^{\mu}, x_{2}^{\mu}, \ldots, x_{n}^{\mu}).$ Here $n$ is the number of independent variables in the original partial differential equation, $N$ is the number of rows in the grid for the right-hand side, $f=f( x_{1}, x_{2}, \ldots, x_{n})$ is the right-hand of the original equation. The algorithm implements a reduction of the original equation to a system of ordinary differential equations (ODE system) with initial conditions at each grid point and includes the following sequence of actions. We seek a solution to the original equation, depending on one independent variable. The original equation is associated with a certain system of relations containing arbitrary functions and including the partial differential equation of the first order. For an equation of the first order, an extended system of equations of characteristics is written. Adding to it the remaining relations containing arbitrary functions, and demanding that these relations be the first integrals of the extended system of equations of characteristics, we arrive at the desired ODE system, completing the reduction. The proposed algorithm allows at each grid point to find a solution of the original partial differential equation that satisfies the given initial and boundary conditions. The algorithm is used to obtain solutions of the Poisson equation and the equation of unsteady axisymmetric filtering at the points of the grid on which the right-hand sides of the corresponding equations are given.
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求解右手边在网格上定义的非齐次偏微分方程
提出了一种求解右方在网格$\{x_{1}^{\mu}, x_{2}^{\mu}, \ldots, x_{n}^{\mu},\ (\mu=1,2,\ldots, n)\冒号f_{\mu}=f(x_{1}^{\mu}, x_{2}^{\mu}, \ldots, x_{n}^{\mu})上定义的偏微分方程的算法。$n$是原偏微分方程中自变量的个数,$n$是右侧网格中的行数,$f=f(x_{1}, x_{2}, \ldots, x_{n})$是原方程的右侧。该算法将原始方程简化为在每个网格点具有初始条件的常微分方程组(ODE系统),并包括以下动作序列。我们根据一个自变量求原方程的解。原方程与一个包含任意函数和一阶偏微分方程的关系系统有关。对于一阶方程,给出了特征方程的扩展系统。将剩余的包含任意函数的关系相加,并要求这些关系是扩展的特征方程系统的第一个积分,我们就得到了期望的ODE系统,完成了约简。该算法允许在每个网格点上找到满足给定初始条件和边界条件的原始偏微分方程的解。用该算法求出泊松方程和非定常轴对称滤波方程在网格点处的解,并给出相应方程的右侧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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