Section
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Mathematics
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Title
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On rational approximations of functions and eigenvalue selection in Werner algorithm
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Author(-s)
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Galkin O.E.a,
Galkina S.Yu.a
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Affiliations
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Nizhni Novgorod State Universitya
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Abstract
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The paper deals with the best uniform rational approximations (BURA) of continuous functions on compact (and even finite) subsets of real axis $\mathbb{R}$.The authors show that BURA does not always exist. They study the algorithm of Helmut Werner in more detail. This algorithm serves to search for BURA of the type $P_m/Q_n = \sum\limits_{i=0}^m a_i x^i \big/ \sum\limits_{j=0}^n b_j x^j$ for functions on a set of $N=m+n+2$ points $x_1<\ldots<x_N$. It can be used within the Remez algorithm of searching for BURA on a segment. The Verner algorithm calculates $(n+1)$ real eigenvalues $h_1,\ldots,h_{n+1}$ for the matrix pencil $A-hB$, where $A$ and $B$ are some symmetric matrices. Each eigenvalue generates a rational fraction of the type $P_m/Q_n$ which is a candidate for the best approximation. It is known that at most one of these fractions is free from poles on the segment $[x_1, x_N]$, so the following problem arises: how to determine the eigenvalue which generates the rational fraction without poles? It is shown that if $m=0$ and all values $f(x_1),-f(x_2),\ldots,(-1)^{n+2} f(x_{n+2})$ are different and the approximating function is positive (negative) at all points $x_1,\ldots,x_{n+2}$, then this eigenvalue ranks $[(n+2)/2]$-th ($[(n+3)/2]$-th) in value. Three numerical examples illustrate this statement.
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Keywords
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best uniform rational approximations, rational approximations on finite sets, Remez algorithm, Werner algorithm, selection of eigenvalues in Werner algorithm
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UDC
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517.518.84
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MSC
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65D15, 41A20
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DOI
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10.20537/vm150301
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Received
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1 August 2015
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Language
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Russian
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Citation
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Galkin O.E., Galkina S.Yu. On rational approximations of functions and eigenvalue selection in Werner algorithm, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2015, vol. 25, issue 3, pp. 297-305.
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