
Abstract Let A, B, X, and Y be n × n $n\times n$ complex matrices such that A is self-adjoint, B ≥ 0 $B\geq 0$ , ± A ≤ B $\pm A\leq B$ , max ( ∥ X ∥ 2 , ∥ Y ∥ 2 ) ≤ 1 $\max ( \Vert X \Vert ^{2}, \Vert Y \Vert ^{2} ) \leq 1$ , and let f be a nonnegative increasing convex function on [ 0 , ∞ ) $[ 0,\infty ) $ satisfying f ( 0 ) = 0 $f(0)=0$ . Then 2 s j ( f ( | X A Y ∗ | ) ) ≤ max { ∥ X ∥ 2 , ∥ Y ∥ 2 } s j ( f ( B + A ) ⊕ f ( B − A ) ) $$ 2s_{j}\bigl(f \bigl( \bigl\vert XAY^{\ast } \bigr\vert \bigr) \bigr)\leq \max \bigl\{ \Vert X \Vert ^{2}, \Vert Y \Vert ^{2} \bigr\} s_{j}\bigl(f(B+A)\oplus f(B-A)\bigr) $$ for j = 1 , 2 , … , n $j=1,2,\ldots,n$ . This singular value inequality extends an inequality of Audeh and Kittaneh. Several generalizations for singular value and norm inequalities of matrices are also given.
convex function, Eigenvalues, singular values, and eigenvectors, unitarily invariant norm, singular value, increasing function, Unitarily invariant norm, Inequalities involving eigenvalues and eigenvectors, positive semidefinite matrix, Singular value, Positive semidefinite matrix, Convex function, QA1-939, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Linear operator inequalities, Increasing function, Mathematics
convex function, Eigenvalues, singular values, and eigenvectors, unitarily invariant norm, singular value, increasing function, Unitarily invariant norm, Inequalities involving eigenvalues and eigenvectors, positive semidefinite matrix, Singular value, Positive semidefinite matrix, Convex function, QA1-939, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Linear operator inequalities, Increasing function, Mathematics
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