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arXiv 0910.3705math.FA
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正半定矩阵的预解平均

The Resolvent Average for Positive Semidefinite Matrices

Heinz H. Bauschke, Sarah M. Moffat, Xianfu Wang

摘要:

定义了正半定矩阵的一种新的平均--预解式平均.对于正定矩阵,预解平均值具有自对偶性,它插在调和平均值和算术平均值之间,当取适当的极限时,它逼近调和平均值和算术平均值。我们将预解平均值与几何平均进行比较。并给出了矩阵函数的一些应用。

英文摘要:

We define a new average - termed the resolvent average - for positive semidefinite matrices. For positive definite matrices, the resolvent average enjoys self-duality and it interpolates between the harmonic and the arithmetic averages, which it approaches when taking appropriate limits. We compare the resolvent average to the geometric mean. Some applications to matrix functions are also given.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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