Deadman, Edvin and Relton, Samuel (2016) Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. Linear Algebra and its Applications, 504 (2015.2). pp. 354-371. ISSN 0024-3795
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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 polynomial 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 much faster than the standard methods. 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. They are also easily applicable to more complicated matrix functions for which no specialized condition number estimators are currently available.
Item Type: | Article |
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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: | 31 May 2016 |
Last Modified: | 20 Oct 2017 14:13 |
URI: | https://eprints.maths.manchester.ac.uk/id/eprint/2479 |
Available Versions of this Item
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Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. (deposited 28 Apr 2015)
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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) [Currently Displayed]
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Taylor's Theorem for Matrix Functions with Applications to Condition Number Estimation. (deposited 09 Oct 2015)
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