Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation

Deadman, Edvin and Relton, Samuel (2015) Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. [MIMS Preprint]

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Abstract

We derive an explicit formula for the remainder term of a Taylor polynomial of a matrix function. This formula generalizes a known result for the remainder of the Taylor series for an analytic function of a complex scalar. We investigate some consequences of this result, which culminate in new upper bounds for the level-1 and level-2 condition numbers of a matrix function in terms of the pseudospectrum of the matrix. Numerical experiments show that, although the bounds can be pessimistic, they can be computed almost three orders of magnitude faster than the standard methods for the $1$-norm condition number of $f(A) = A^t$. This makes the upper bounds ideal for a quick estimation of the condition number whilst a more accurate (and expensive) method can be used if further accuracy is required.

Item Type:	MIMS Preprint
Uncontrolled Keywords:	matrix functions, Taylor series, remainder, condition number, pseudospectrum, Frechet derivative, Kronecker form
Subjects:	MSC 2010, the AMS's Mathematics Subject Classification > 15 Linear and multilinear algebra; matrix theory MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis
Depositing User:	Dr Samuel Relton
Date Deposited:	28 Apr 2015
Last Modified:	08 Nov 2017 18:18
URI:	https://eprints.maths.manchester.ac.uk/id/eprint/2291

Available Versions of this Item

• Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. (deposited 28 Apr 2015) [Currently Displayed]
  • Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. (deposited 09 Oct 2015)
    • Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. (deposited 31 May 2016)

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