Further singular value and norm inequalities for matrices

被引:0
作者
Al-Natoor, Ahmad [1 ]
Kaushik, S. K. [2 ]
Kittaneh, Fuad [3 ,4 ]
Kumar, Amit [5 ]
机构
[1] Isra Univ, Dept Math, Amman 11622, Jordan
[2] Univ Delhi, Kirori Mal Coll, Dept Math, New Delhi 110007, Delhi, India
[3] Univ Jordan, Dept Math, Amman, Jordan
[4] Korea Univ, Dept Math, Seoul 02841, South Korea
[5] Univ Delhi, Dept Math, New Delhi 110007, Delhi, India
关键词
Positive semidefinite matrix; Singular value; Norm inequality; POSITIVE OPERATORS; COMMUTATORS; SUMS;
D O I
10.1007/s11117-025-01126-y
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Let A, B, and X be complex matrices of order n. We establish several novel singular value and norm inequalities, including: mu(k) (R(AX* B*)) <= root mu(k) (A vertical bar X vertical bar A* circle plus A vertical bar X vertical bar A*) parallel to B vertical bar X*vertical bar B*parallel to <= = parallel to X parallel to parallel to B parallel to mu(k) (A circle plus A), mu(k) (AB * + BA*) <= mu(k) ((A* A + B* B) circle plus (AA* + BB*)), and for positive semidefinite matrices A and B, mu(k) (AX - YB) <= max{parallel to A parallel to, parallel to B parallel to}(mu(k) (( X - Y) circle plus (X - Y))/2 + max{parallel to X parallel to, parallel to Y parallel to}). The first and second inequalities establish variants of well-known singular value inequalities, while the third result generalizes a commutator inequality for positive semidefinite matrices previously established by Kittaneh. Additionally, we extend several classical singular value inequalities to functional settings, broadening their scope and applicability.
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页数:20
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