Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian

Spectral operators of matrices proposed recently in [C. Ding, D. F. Sun, J. Sun, and K. C. Toh, Math. Program., 168 (2018), pp. 509{531] are a class of matrix-valued functions, which map matrices to matrices by applying a vector-to-vector function to all eigenvalues/singular values of the underlying...

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Main Authors: Ding, C., Sun, D., Sun, Jie, Toh, K.C.
Format: Journal Article
Language:English
Published: SIAM PUBLICATIONS 2020
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/91436
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author Ding, C.
Sun, D.
Sun, Jie
Toh, K.C.
author_facet Ding, C.
Sun, D.
Sun, Jie
Toh, K.C.
author_sort Ding, C.
building Curtin Institutional Repository
collection Online Access
description Spectral operators of matrices proposed recently in [C. Ding, D. F. Sun, J. Sun, and K. C. Toh, Math. Program., 168 (2018), pp. 509{531] are a class of matrix-valued functions, which map matrices to matrices by applying a vector-to-vector function to all eigenvalues/singular values of the underlying matrices. Spectral operators play a crucial role in the study of various applications involving matrices such as matrix optimization problems that include semidefinite programming as one of most important example classes. In this paper, we will study more fundamental first- and second-order properties of spectral operators, including the Lipschitz continuity, ρ-order B(ouligand)-differentiability (0 < ρ≤ 1), ρ-order G-semismoothness (0 < ρ≤ 1), and characteriza- tion of generalized Jacobians.
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spelling curtin-20.500.11937-914362023-04-20T06:26:02Z Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian Ding, C. Sun, D. Sun, Jie Toh, K.C. Science & Technology Physical Sciences Mathematics, Applied Mathematics spectral operators matrix-valued functions semismoothness generalized Jacobian AUGMENTED LAGRANGIAN METHOD NEWTON METHOD CONSTRAINT NONDEGENERACY NONSMOOTH ANALYSIS SINGULAR-VALUES ERROR-BOUNDS SEMIDEFINITE RANK STABILITY COMPLEMENTARITY Spectral operators of matrices proposed recently in [C. Ding, D. F. Sun, J. Sun, and K. C. Toh, Math. Program., 168 (2018), pp. 509{531] are a class of matrix-valued functions, which map matrices to matrices by applying a vector-to-vector function to all eigenvalues/singular values of the underlying matrices. Spectral operators play a crucial role in the study of various applications involving matrices such as matrix optimization problems that include semidefinite programming as one of most important example classes. In this paper, we will study more fundamental first- and second-order properties of spectral operators, including the Lipschitz continuity, ρ-order B(ouligand)-differentiability (0 < ρ≤ 1), ρ-order G-semismoothness (0 < ρ≤ 1), and characteriza- tion of generalized Jacobians. 2020 Journal Article http://hdl.handle.net/20.500.11937/91436 10.1137/18M1222235 English SIAM PUBLICATIONS fulltext
spellingShingle Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
spectral operators
matrix-valued functions
semismoothness
generalized Jacobian
AUGMENTED LAGRANGIAN METHOD
NEWTON METHOD
CONSTRAINT NONDEGENERACY
NONSMOOTH ANALYSIS
SINGULAR-VALUES
ERROR-BOUNDS
SEMIDEFINITE
RANK
STABILITY
COMPLEMENTARITY
Ding, C.
Sun, D.
Sun, Jie
Toh, K.C.
Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian
title Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian
title_full Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian
title_fullStr Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian
title_full_unstemmed Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian
title_short Spectral operators of matrices: Semismoothness and characterizations of the generalized jacobian
title_sort spectral operators of matrices: semismoothness and characterizations of the generalized jacobian
topic Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
spectral operators
matrix-valued functions
semismoothness
generalized Jacobian
AUGMENTED LAGRANGIAN METHOD
NEWTON METHOD
CONSTRAINT NONDEGENERACY
NONSMOOTH ANALYSIS
SINGULAR-VALUES
ERROR-BOUNDS
SEMIDEFINITE
RANK
STABILITY
COMPLEMENTARITY
url http://hdl.handle.net/20.500.11937/91436