2017
DOI: 10.1002/nla.2104
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An analysis on the efficiency of Euler's method for computing the matrix pth root

Abstract: It is shown that the matrix sequence generated by Euler's method starting from the identity matrix converges to the principal pth root of a square matrix, if all the eigenvalues of the matrix are in a region including the one for Newton's method given by Guo in 2010. The convergence is cubic if the matrix is invertible. A modification version of Euler's method using the Schur decomposition is developed. Numerical experiments show that the modified algorithm has the overall good numerical behavior.

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Cited by 4 publications
(6 citation statements)
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“…with L(t) = c(c − 1)h 2 αt c−2 , where α f (u 0 ) −1 . Therefore, Theorem 1 with c ∈ [1, 2) is applicable, but not Corollary 1, to concluding that the sequence {u k } generated by the two-step Newton method with initial guess 0 = e converges to a local solution of (48).…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…with L(t) = c(c − 1)h 2 αt c−2 , where α f (u 0 ) −1 . Therefore, Theorem 1 with c ∈ [1, 2) is applicable, but not Corollary 1, to concluding that the sequence {u k } generated by the two-step Newton method with initial guess 0 = e converges to a local solution of (48).…”
Section: Discussionmentioning
confidence: 99%
“…Consider the following two-dimensional nonlinear convection-diffusion equation [8,31,70] −(u xx + u yy ) + q 1 u x + q 2 u y = u c for (x, y) ∈ u(x, y) = 0 for (x, y) ∈ (48) where = (0, 1) × (0, 1), with its boundary, q 1 and q 2 are positive constants used to measure the magnitudes of the convective terms, and c ∈ [1,2]. Applying the five-point finite-difference scheme to the diffusive terms and the central difference scheme to the convective terms, respectively, a system of nonlinear equations is…”
Section: Convection-diffusion Equationmentioning
confidence: 99%
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“…For a given integer p ≥ 2 and a matrix A ∈ C n×n whose eigenvalues are in the open disk {z ∈ C : |z − 1| < 1}, the principal pth root of A exists and is denoted by A 1/p [10]. Various methods can be used to compute A 1/p ; see [2,7,8,9,10,11,12,13,14,15,18,20,23,24].…”
Section: Introductionmentioning
confidence: 99%
“…The most important two are the Euler method and the Halley method; see for example [9, 10, 20-22, 32, 48] and references therein. For the applications in the field of matrix functions, the efficiency (when properly implemented) of these two methods have been shown in [35,47] for computing matrix pth root and in [52,53] for computing the polar decomposition of a matrix. Another more general family of the cubic extensions is the family of Euler-Halley methods type methods in Banach spaces, which includes the Euler and the Halley method as its special cases and has been studied extensively in [29,31].…”
Section: Introductionmentioning
confidence: 99%