An arithmetic–geometric mean inequality for products of three matrices
An arithmetic–geometric mean inequality for products of three matrices
复制标题
三个矩阵乘积的算术几何平均不等式
DOI:
10.1016/j.laa.2015.09.013
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发表时间:
2014
影响因子:
1.1
通讯作者:
Rachel A. Ward
中科院分区:
文献类型:
--
作者:
Arie Israel;F. Krahmer;Rachel A. Ward
Consider the following noncommutative arithmetic–geometric mean inequality: Given positive-semidefinite matrices A 1,…, A n, the following holds for each integer m≤ n: 1 n m∑ j 1, j 2,…, j m= 1 n⦀ A j 1 A j 2… A j m⦀≥(n− m)! n!∑ j 1, j 2,…, j m= 1 all distinct n⦀ A j 1 A j 2… A j m⦀, where⦀⋅⦀ denotes a unitarily invariant norm, including the operator norm and Schatten p-norms as special cases. While this inequality in full generality remains a conjecture, we prove that the inequality holds for products of up to three matrices, m≤ 3. The proofs for m= 1, 2 are straightforward; to derive the proof for m= 3, we appeal to a variant of the classic Araki–Lieb–Thirring inequality for permutations of matrix products.