Backward Stability of the Schur Canonical Form
Anastasiia Minenkova, Evelyn Nitch-Griffin, Vadim Olshevsky

TL;DR
This paper proves that the Schur decomposition of a matrix remains stable under small perturbations, ensuring reliable numerical computations in linear algebra.
Contribution
It establishes the backward stability of the Schur canonical form, a key result for numerical analysis of matrix decompositions.
Findings
Schur decomposition is backward stable under small perturbations
Provides theoretical guarantees for numerical algorithms involving Schur form
Enhances confidence in computational methods using Schur decomposition
Abstract
In the present paper, we show the backward stability of the Schur decomposition for a given matrix under small perturbation.
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Taxonomy
TopicsMatrix Theory and Algorithms · Holomorphic and Operator Theory · Random Matrices and Applications
