A Nontrivial Solution to a Stochastic Matrix Equation

Author:

Ding J.,Rhee N. H.

Abstract

Abstract.If A is a nonsingular matrix such that its inverse is a stochastic matrix, the classic Brouwer fixed point theorem implies that the matrix equation AXA = XAX has a nontrivial solution. An explicit expression of this nontrivial solution is found via the mean ergodic theorem, and fixed point iteration is considered to find a nontrivial solution.

Publisher

Global Science Press

Subject

Applied Mathematics

Reference8 articles.

1. Matrix Analysis and Applied Linear Algebra

2. A quadratically convergent Bernoulli-like algorithm for solving matrix polynomial equation in Markov chains;He;Elec. Trans. Numer. Anal.,2004

3. Nonnegative Matrices, Positive Operators, and Applications

4. Ding J. and Rhee N. , When a matrix and its inverse are stochastic, College Math. J., to appear.

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