A generalization of POWERS-ST{\O}RMER inequality

TL;DR

This paper generalizes the Powers-St{\

Contribution

It introduces a comparison of eigenvalues for specific matrix functions, extending the classical Powers-St{\

Findings

Eigenvalue comparison for matrix functions $A^\\alpha B^{1-\\eta}$ and $A+B-|A-B|$

New norm inequalities related to positive semidefinite matrices

Unification and extension of Powers-St{\

Abstract

Let $A,\;B$ be the positive semidefinite matrices. A matrix version of the famous Powers-St{\o}rmer's inequality $$2Tr(A^\alpha B^{1-\alpha})\geq Tr(A+B-|A-B|),\;\;\;0\leq\alpha\leq 1,$$ was proven by Audenaert et. al. We establish a comparison of eigenvalues for the matrices $A^\alpha B^{1-\alpha}$ and $A+B-|A-B|, \; 0 \leq \alpha \leq 1,$ subsuming the Powers-St{\o}rmer's inequality. We also prove several related norm inequalities.