Analysis of Symmetric Matrix Valued Functions
H. Mohebi, Abbas Salemi
Abstract
H. Mohebi, Abbas Salemi
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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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