关于用Schatten范数限定汤普森度规的问题

IF 0.1 Q4 MATHEMATICS
David A. Snyder
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引用次数: 1

摘要

汤普森度量为研究非线性矩阵方程和许多优化问题提供了关键的几何见解。然而,在汤普森度量中,知道近似解是在实际解的单位内,并不能说明近似作为矩阵或向量近似有多好。也就是说,将汤普森度规限定在问题的近似解和精确解之间,并不能为近似解和精确解之间的差的谱或Frobenius范数(两者都是Schatten范数)提供明显的界限。本文报道了这样一个上界,即其中表示Schatten p-范数,表示和之间的Thompson度规。此外,在Frobenius范数的情况下,一个更几何化的证明导致了一个稍微更好的界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On bounding the Thompson metric by Schatten norms
Abstract The Thompson metric provides key geometric insights in the study of non-linear matrix equations and in many optimization problems. However, knowing that an approximate solution is within units, in the Thompson metric, of the actual solution provides little insight into how good the approximation is as a matrix or vector approximation. That is, bounding the Thompson metric between an approximate and accurate solution to a problem does not provide obvious bounds either for the spectral or the Frobenius norm, both Schatten norms, of the difference between the approximation and accurate solution. This paper reports such an upper bound, namely that where denotes the Schatten p-norm and denotes the Thompson metric between and . Furthermore, a more geometric proof leads to a slightly better bound in the case of the Frobenius norm, .
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