New Matrix Series Formulae for Matrix Exponentials and for the Solution of Linear Systems of Algebraic Equations

I. Ciric
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Abstract

The solution of certain differential equations is expressed using a special type of matrix series and is directly related to the solution of general systems of algebraic equations. Efficient formulae for matrix exponentials are derived in terms of rapidly convergent series of the same type. They are essential for two new solution methods, especially beneficial for large linear systems, namely an iterative method and a method based on an exact matrix product formula. The computational complexity of these two methods is analysed, and for both of them, the number of matrix exponential-vector multiplications required for an imposed accuracy can be predetermined in terms of the system condition. The total number of arithmetic operations involved is roughly proportional to n 2 , where n is the matrix dimension. The common feature of all the series in the results presented is that starting with a first term that is already well-conditioned, each subsequent term is computed by multiplication with an even better conditioned matrix, tending quickly to the identity matrix. This contributes substantially to the stability of the numerical computation. A very efficient method based on the numerical integration of a special kind of differential equations, applicable to even ill-conditioned systems, is also presented.
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矩阵指数和线性代数方程组解的新矩阵级数公式
某些微分方程的解是用一种特殊类型的矩阵级数来表示的,并且与一般代数方程组的解直接相关。用同类型的快速收敛级数导出了矩阵指数的有效公式。迭代法和基于精确矩阵积公式的方法是求解大型线性系统的两种新方法。分析了这两种方法的计算复杂度,对于这两种方法,可以根据系统条件预先确定所要求的精度所需的矩阵指数向量乘法的次数。所涉及的算术运算的总数大致与n2成正比,其中n是矩阵维数。所给出的结果中所有级数的共同特征是,从已经条件良好的第一项开始,随后的每一项都通过与条件更好的矩阵相乘来计算,很快趋向于单位矩阵。这大大提高了数值计算的稳定性。本文还提出了一种基于一类特殊微分方程的数值积分的非常有效的方法,适用于偶病态系统。
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