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arXiv:2302.09687math.NA

The Fréchet derivative of the tensor t-function

Kathryn Lund, Marcel Schweitzer

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Abstract

The tensor t-function, a formalism that generalizes the well-known concept of matrix functions to third-order tensors, is introduced in [K. Lund, The tensor t-function: a definition for functions of third-order tensors, Numer. Linear Algebra Appl. 27 (3), e2288]. In this work, we investigate properties of the Fréchet derivative of the tensor t-function and derive algorithms for its efficient numerical computation. Applications in condition number estimation and nuclear norm minimization are explored. Numerical experiments implemented by the \texttt{t-Frechet} toolbox hosted at \url{https://gitlab.com/katlund/t-frechet} illustrate properties of the t-function Fréchet derivative, as well as the efficiency and accuracy of the proposed algorithms.

arXiv comments
26 pages, 4 figures, 7 tables
Journal reference
DOI
doi:10.1007/s10092-023-00527-3
Subjects
math.NANumerical Analysis

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Discussed in comments1 thread

  1. The Tensor Cookbook (2024) 1 comment
    • I don't exactly know what you mean but from your hint I found the uh, clarifying bedtime story: https://arxiv.org/abs/2302.09687 (On functions of 3rd-order "tensors") ((Whereas matrix-functions are of 2nd-order "tensors")) Playground: https://gitlab.com/katlund/t-frechet (MATLAB)

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