Abstract

By using the fixed point theorem for monotone maps in a normal cone, we prove a uniqueness theorem for the positive definite solution of the matrix equationX=Q+A⁎f(X)A, wherefis a monotone map on the set of positive definite matrices. Then we apply the uniqueness theorem to a special equationX=kQ+A⁎(X^-C)qAand prove that the equation has a unique positive definite solution whenQ^≥Candk>1and0<q<1. For this equation the basic fixed point iteration is discussed. Numerical examples show that the iterative method is feasible and effective.

Highlights

  • We consider the matrix equationX = Q + A∗f (X) A, (1)where Q is an n × n positive definite matrix, A is arbitrary m × n matrix, and f is a monotone map on P(m).The study of matrix equation has a long history, involving in particular the study of algebraic Riccati equations for discrete time optimal control and for the stochastic realization problem

  • By using the fixed point theorem for monotone maps in a normal cone, we prove a uniqueness theorem for the positive definite solution of the matrix equation X = Q + A∗f(X)A, where f is a monotone map on the set of positive definite matrices

  • In [14], the author provided a new proof for the uniqueness of the positive definite solution of this equation using a change of variable and a fixed point theorem, which is an easier argument than the one used in [12]

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Summary

Introduction

Where Q is an n × n positive definite matrix, A is arbitrary m × n matrix, and f is a monotone map on P(m). In [14], the author provided a new proof for the uniqueness of the positive definite solution of this equation using a change of variable and a fixed point theorem, which is an easier argument than the one used in [12]. This development leads to consideration of a general class of matrix equations, which started with the paper by El-Sayed and Ran [15], and was developed further by Ran and Reurings [16,17,18,19]. A cone is said to be a solid cone if P0 ≠ φ

Preliminaries
Numerical Examples
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