Localization of complementarity eigenvalues
Antonio Sasaki (CMA, PSL), Sophie Demassey (CMA, PSL), Valentina Sessa (CMA, PSL)

TL;DR
This paper develops new localization sets for complementarity eigenvalues of symmetric matrix pairs, extending existing methods to cases where B is not the identity and comparing bounds with classical eigenvalues.
Contribution
It introduces two new localization sets for complementarity eigenvalues, extending previous results to broader matrix conditions, especially when B is not the identity.
Findings
Derived two localization sets for complementarity eigenvalues.
Extended He-Liu-Shen sets to cases with non-identity B.
Compared bounds from new sets with classical eigenvalues.
Abstract
Let A, B be symmetric n x n real matrices with B positive definite and strictly diagonally dominant. We derive two localization sets for the complementarity eigenvalues of (A, B), the tightest one assuming additionally that A is copositive. This extends He-Liu-Shen sets to the case where B is not the identity. Moreover, we compare the computable bounds obtained from these new sets with the extreme classical generalized eigenvalues.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Optimization Algorithms Research · Stochastic Gradient Optimization Techniques
