2007Numerical Functional Analysis and OptimizationRequires access

Analysis of Symmetric Matrix Valued Functions

H. Mohebi, Abbas Salemi

Open publisher page 8 citations

Abstract

For any symmetric function f: ℝ n → ℝ n , one can define a corresponding function on the space of n × n real symmetric matrices by applying f to the eigenvalues of the spectral decomposition. We show that this matrix valued function inherits from f the properties of continuity, Lipschitz continuity, strict continuity, directional differentiability, Fréchet differentiability, and continuous differentiability.

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What this paper is about

For any symmetric function f: ℝ n → ℝ n , one can define a corresponding function on the space of n × n real symmetric matrices by applying f to the eigenvalues of the spectral decomposition. We show that this matrix valued function inherits from f the properties of continuity, Lipschitz continuity, strict continuity, directional differentiability, Fréchet differentiability, and continuous differentiability.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

For any symmetric function f: ℝ n → ℝ n , one can define a corresponding function on the space of n × n real symmetric matrices by applying f to the eigenvalues of the spectral decomposition. We show that this matrix valued function inherits from f the properties of continuity, Lipschitz continuity, strict continuity, directional differentiability, Fréchet differentiability, and continuous differentiability.

Key concepts: Mathematics, Differentiable function, Lipschitz continuity, Eigenvalues and eigenvectors, Pure mathematics, Symmetric matrix, Matrix (chemical analysis), Mathematical analysis

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