On monotonicity of the Lanczos approxima
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Vladimir Druskin
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Article
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2008
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Elsevier Science
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English
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We prove strictly monotonic error decrease in the Euclidian norm of the Krylov subspace approximation of exp(A)ฯ, where ฯ and A are respectively a vector and a symmetric matrix. In addition, we show that the norm of the approximate solution grows strictly monotonically with the subspace dimension.