摘要
矩阵微分方程经常出现在物理模型和工程技术模型中。文章给出了用四次矩阵样条构造形如Y′=A(x)Y+B(x),Y(0)=Y0,x∈[a,b],A(x)、B(x)∈C4[a,b]的一阶矩阵线性微分方程初值问题近似解的方法,研究了该方法的逼近误差并编制了实现该方法的一个算法,最后给出一些数值实例;比较结果表明,用四次矩阵样条所构造的近似解的逼近效果要比用三次矩阵样条所构造的近似解的逼近效果好。
Matrix differential equations appear frequently in a wide variety of models in physics and en- gineering. This paper deals with the construction of the approximate solution of first-order matrix lin- ear differential equations given by Y′=A(x)Y+B(x),Y(O)=Y0,where x∈[a,b],A(x)、B(x)∈C[a,b], using the quartic matrix spline(QMS). An estimation of the approximation error and an algorithm for the implementation of the construction method are described. Two illustrative examples are included, and for the same first-order matrix linear differential equation, the results ob- tained by using the QMS are compared with those by using the cubic matrix spline, which shows that the error of approximation by using the QMS is smaller than that by using the cubic matrix soline.
出处
《合肥工业大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第11期1537-1541,共5页
Journal of Hefei University of Technology:Natural Science
基金
合肥工业大学基金资助项目(061007F)
关键词
一阶矩阵线性微分方程
三次矩阵样条
四次矩阵样条
逼近
first-order matrix linear differential equation
cubic matrix spline
quartic matrixspline
approximation