An Iterative Method for the Least Squares Symmetric Solution of the Lyapunov Matrix Equation
Kaiyuan Zhang
Abstract
Kaiyuan Zhang
Abstract
On the basis of conjugate gradient method,an iterative method was presented to solve the least squares symmetric solution of Lyapunov matrix equation.By the iterative method,the solvability of the equation over symmetric solution can be determined.Whether the matrix equation is consistent or not,the least squares symmetric solution can be obtained automatically within finite iteration steps.And the symmetric solution with least norm can be obtained by choosing a special initial symmetric matrix.In addition,its optimal approximation matrix to a given matrix can be obtained.The given numerical examples show that the iterative method is quite efficient.
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On the basis of conjugate gradient method,an iterative method was presented to solve the least squares symmetric solution of Lyapunov matrix equation.By the iterative method,the solvability of the equation over symmetric solution can be determined.Whether the matrix equation is consistent or not,the least squares symmetric solution can be obtained automatically within finite iteration steps.And the symmetric solution with least norm can be obtained by choosing a special initial symmetric matrix.In addition,its optimal approximation matrix to a given matrix can be obtained.The given numerical examples show that the iterative method is quite efficient.
Key concepts: Mathematics, Symmetric matrix, Iterative method, Conjugate gradient method, Matrix (chemical analysis), Applied mathematics, Least-squares function approximation, Matrix difference equation