2017
DOI: 10.1016/j.jfa.2016.07.005
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Maximum of the resolvent over matrices with given spectrum

Abstract: In numerical analysis it is often necessary to estimate the condition number CN (T ) = ||T | | · T −1 and the norm of the resolvent (ζ − T ) −1 of a given n × n matrix T . We derive new spectral estimates for these quantities and compute explicit matrices that achieve our bounds. We recover the well-known fact that the supremum of CN (T ) over all matrices with ||T | | ≤ 1 and minimal absolute eigenvalue r = min i=1,...,n |λ i | > 0 is the Kronecker bound 1 r n . This result is subsequently generalized by comp… Show more

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Cited by 7 publications
(5 citation statements)
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“…The question of estimating C n, r (X, H ∞ ) asymptotically as n → ∞ and r → 1 arose in an applied context in [2,3]. It is also motivated by applications in matrix analysis to estimate functions of a contraction A acting on an n-dimensional Hilbert space, for instance the powers of A [9,10,13] or its resolvent [6,11], in terms of its spectrum. From now on, for two positive functions a and b, we say that a is dominated by b, denoted by a b, if there is a constant c > 0 such that a ≤ cb; and we say that a and b are comparable, denoted by a b, if both a b and b a.…”
Section: Introduction Motivation and Known Resultsmentioning
confidence: 99%
“…The question of estimating C n, r (X, H ∞ ) asymptotically as n → ∞ and r → 1 arose in an applied context in [2,3]. It is also motivated by applications in matrix analysis to estimate functions of a contraction A acting on an n-dimensional Hilbert space, for instance the powers of A [9,10,13] or its resolvent [6,11], in terms of its spectrum. From now on, for two positive functions a and b, we say that a is dominated by b, denoted by a b, if there is a constant c > 0 such that a ≤ cb; and we say that a and b are comparable, denoted by a b, if both a b and b a.…”
Section: Introduction Motivation and Known Resultsmentioning
confidence: 99%
“…As positive results on estimation of norms f (T ) , one can mention the Kreiss matrix theorem (see, for instance, [50,Section 18]) and the results by Szehr and Zarouf (see [46,47] and references therein).…”
Section: Final Remarks On Estimates Of Functions Of Operators and Matmentioning
confidence: 99%
“…This estimate is sharp for |z| = 1 but we cannot leverage it. It is also possible to improve this bound and derive (a more complicated) estimate that is optimal for z ∈ σ(A) [24]. Bounds of this type demonstrate that Blaschke products occur naturally in the context of spectral variation.…”
Section: Hyperbolic Spectral Variation Boundsmentioning
confidence: 99%