
doi: 10.1007/bf01934916
Let \(A\) be an \(N\times N\) matrix. Let \(p(A)=\sup_{n\geq 0}\| A^ n\|\) and \(r(A)=\sup_{| z| >1}(| z| -1)\| (zI- A)^{-1}\|\), where \(\| \cdot \|\) is the Euclidean norm. If \(p(A)<\infty\) then \(r(A)<\infty\). \textit{H.-O. Kreiss} [ibid. 2, 153-181 (1962; Zbl 0109.34702)] proved that \(r(A)<\infty\) implies \(p(A)<\infty\). \textit{E. Tadmor} [Linear Algebra Appl. 41, 151-159 (1981; Zbl 0469.15011)] proved that \(p(A)\leq (32e/\pi)N r(A)\) and conjectured that the best bound is linear in \(N\). The authors of the present paper verify this conjecture by exhibiting a family \(\{A_ N\}\) of matrices with \(p(A_ N)\sim e Nr(A_ N)\) as \(N\to \infty\). They improve Tadmor's bound to \(p(A)\leq 2eN r(A)\) and conjecture that the 2 is unnecessary.
resolvent condition, Kreiss matrix theorem, Miscellaneous inequalities involving matrices, power boundedness, Numerical computation of matrix norms, conditioning, scaling, Norms of matrices, numerical range, applications of functional analysis to matrix theory, matrix exponentials, resolvent estimate, matrix norm
resolvent condition, Kreiss matrix theorem, Miscellaneous inequalities involving matrices, power boundedness, Numerical computation of matrix norms, conditioning, scaling, Norms of matrices, numerical range, applications of functional analysis to matrix theory, matrix exponentials, resolvent estimate, matrix norm
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