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arXiv · 2302.05560

Variational Analysis of the Orthogonally Invariant Norm Cone of Symmetric Matrices

Yule Zhang·Jihong Zhang·Liwei Zhang
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Abstract

A large number matrix optimization problems are described by orthogonally invariant norms. This paper is devoted to the study of variational analysis of the orthogonally invariant norm cone of symmetric matrices. For a general orthogonally invariant norm cone of symmetric matrices, formulas for the tangent cone, normal cone and second-order tangent set are established. The differentiability properties of the projection operator onto the orthogonally invariant norm cone are developed, including formulas for the directional derivative and the B-subdifferential. Importantly, the directional derivative is characterized by the second-order derivative of the corresponding symmetric function, which is convenient for computation. All these results are specified to the Schatten $p$-norm cone, especially to the second-order cone of symmetric matrices.

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Yule Zhang, Jihong Zhang, Liwei Zhang. 2023-02-11. Variational Analysis of the Orthogonally Invariant Norm Cone of Symmetric Matrices. https://arxiv.org/abs/2302.05560

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