Perturbation analysis of the matrix equation X - \sum_{i=1}^m A_i^* X^{p_i} A_i = Q
Jing Li

TL;DR
This paper investigates the nonlinear matrix equation involving positive definite solutions, providing conditions for existence, perturbation bounds, backward error analysis, and condition numbers, supported by numerical examples.
Contribution
It offers new necessary and sufficient conditions for solutions, perturbation bounds, and explicit condition number formulas for the matrix equation with positive exponents.
Findings
Derived conditions for positive definite solutions.
Established perturbation bounds for solutions.
Provided explicit condition number expressions.
Abstract
Consider the nonlinear matrix equation X-sum_{i=1}^{m}A_{i}^{*}X^{p_{i}}A_{i}=Q with p_{i}>0. Sufficient and necessary conditions for the existence of positive definite solutions to the equation with p_{i}>0 are derived. Two perturbation bounds for the unique solution to the equation with 0<p_{i}<1 are evaluated. The backward error of an approximate solution for the unique solution to the equation with 0<p_{i}<1 is given. Explicit expressions of the condition number for the equation with 0<p_{i}<1 are obtained. The theoretical results are illustrated by numerical examples.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Numerical methods for differential equations · Electromagnetic Scattering and Analysis
