Commutator Calculus and Symbolic Differentiation of Matrix Functions

We propose a functional calculus which allows one to apply functions to the matrix anti-commutator/commutator operator. The calculus is introduced in a straightforward manner if the operators act on symmetric matrices, and it leads to a coordinate-free version of Daleckii--Krein formula. In this sense, the proposed calculus provides symbolic formulae for the derivatives of matrix-valued functions that are explicit and easy to use. We discuss several applications of the newly introduced calculus in continuum mechanics (Hencky logarithmic strain, objective rates, spin tensors, viscoelastic fluids) and in the theory of partial differential equations.

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Publication Details

Journal
SIAM Journal on Matrix Analysis and Applications
Published
2026-02-13
DOI
https://doi.org/10.1137/25m1760209
Primary Topic
Elasticity and Material Modeling
Type
article
Field-Weighted Citation Impact
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article

Commutator Calculus and Symbolic Differentiation of Matrix Functions

Michal Bathory
SIAM Journal on Matrix Analysis and Applications
Elasticity and Material Modeling
article

Commutator Calculus and Symbolic Differentiation of Matrix Functions

Michal Bathory
article en

Abstract

We propose a functional calculus which allows one to apply functions to the matrix anti-commutator/commutator operator. The calculus is introduced in a straightforward manner if the operators act on symmetric matrices, and it leads to a coordinate-free version of Daleckii--Krein formula. In this sense, the proposed calculus provides symbolic formulae for the derivatives of matrix-valued functions that are explicit and easy to use. We discuss several applications of the newly introduced calculus in continuum mechanics (Hencky logarithmic strain, objective rates, spin tensors, viscoelastic fluids) and in the theory of partial differential equations.

SIAM Journal on Matrix Analysis and ApplicationsVol. 47(1)
Charles University (CZ)
Openalex Percentile: Top 100%
Elasticity and Material Modeling
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