A finite iterative method for solving the generalized Hamiltonian solutions of coupled Sylvester matrix equations with conjugate transpose

被引:10
作者
Li, Sheng-Kun [1 ]
机构
[1] Chengdu Univ Informat Technol, Coll Appl Math, Chengdu, Sichuan, Peoples R China
关键词
Iterative method; generalized Hamiltonian solutions; coupled Sylvester; matrix equations; conjugate transpose; OPTIMAL APPROXIMATION SOLUTION; LEAST-SQUARES SOLUTIONS; SYMMETRIC-SOLUTIONS; REFLEXIVE SOLUTIONS; ALGORITHM; PAIR; AXB; IDENTIFICATION; A(2)XB(2); A(1)XB(1);
D O I
10.1080/00207160.2016.1148810
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
For given skew- Hermitian unitary matrix J, i. e. J = -J(H), J(H)J = JJ(H) = I, a matrix A is an element of C-nxn is termed generalized Hamiltonian matrix if JAJ = A(H). In this paper, an iterative method is constructed to solve the generalized Hamiltonian solutions of the coupled Sylvester matrix equations with conjugate transpose. It is proved that the iterative method is unconditionally convergent for any initial generalized Hamiltonian matrices. With it, the generalized Hamiltonian solutions can be obtained within finite iteration steps in the absence of roundoff errors. Finally, numerical examples are presented to illustrate the efficiency and applicability of the method.
引用
收藏
页码:757 / 773
页数:17
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