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Extensions of interpolation between the arithmetic-geometric mean inequality for matrices

机译:矩阵的算术几何平均不等式之间的插值扩展

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In this paper, we present some extensions of interpolation between the arithmetic-geometric means inequality. Among other inequalities, it is shown that if A, B, X are n × n $nimes n$ matrices, then ∥ A X B ∗ ∥ 2 ≤ ∥ f 1 ( A ∗ A ) X g 1 ( B ∗ B ) ∥ ∥ f 2 ( A ∗ A ) X g 2 ( B ∗ B ) ∥ , $$egin{aligned} iglVert AXB^{*} igrVert ^{2}leq iglVert f_{1} igl(A^{*}Aigr)Xg_{1}igl(B^{*}Bigr) igrVert iglVert f_{2}igl(A^{*}Aigr)Xg_{2}igl(B^{*}Bigr) igrVert , end{aligned}$$ where f 1 $f_{1}$ , f 2 $f_{2}$ , g 1 $g_{1}$ , g 2
机译:在本文中,我们提出了算术几何均值不等式之间插值的一些扩展。除其他不等式外,证明如果A,B,X为n×n $ n 乘以n $个矩阵,则∥AXB ∗∥2≤∥f 1(A ∗ A)X g 1(B ∗ B)∥ ∥f 2(A ∗ A)X g 2(B ∗ B)∥,$$ begin {aligned} bigl Vert AXB ^ {*} bigr Vert ^ {2} leq bigl Vert f_ { 1} bigl(A ^ {*} A bigr)Xg_ {1} bigl(B ^ {*} B bigr) bigr Vert bigl Vert f_ {2} bigl(A ^ {*} A bigr)Xg_ {2} bigl(B ^ {*} B bigr) bigr Vert, end {aligned} $$其中,f 1 $ f_ {1} $,f 2 $ f_ {2} $ ,g 1 $ g_ {1} $,g 2

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