On the convergence of the interpolation process with minimal norm to the entire operator (Q2742787)
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scientific article; zbMATH DE number 1650427
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | On the convergence of the interpolation process with minimal norm to the entire operator |
scientific article; zbMATH DE number 1650427 |
Statements
23 September 2001
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convergence
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interpolation process with minimal norm
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entire operator
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Hilbert space
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correlation operator
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eigenvectors
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eigenvalues
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On the convergence of the interpolation process with minimal norm to the entire operator (English)
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Let \(X\) be a separable Hilbert space with measure \(\mu\) and let \(B\) be a correlation operator of \(\mu\), \(Ker B=\phi\). Let \(Y\) be a Hilbert space, let \(\Pi_{\infty}\) be the set of entire operators \(F: X\to Y\) equipped by the inner product NEWLINE\[NEWLINE(F_1,F_2)_{H}=\sum\limits_{k=0}^{\infty}\int_{X} \ldots\in_{X}(L^{(1)}_{k}(v_1,\ldots,v_{k}), L^{(2)}_{k}(v_1,\ldots,v_{k}))_{Y}\mu(dv_1)\ldots\mu(dv_{k})NEWLINE\]NEWLINE and the norm \(\|F\|_{H}=(F,F)_{H}^{1/2}\), where \(L^{(1)}_{k}, L^{(2)}_{k}\) are the \(k\)-linear continuous symmetric operator forms corresponding to \(F_1\) and \(F_2\). The entire operator \(F(x)\) is representable in the form \(F(x)=F_{n}(x)+R_{n}(x)\), where NEWLINE\[NEWLINEF_{n}(x)= L_0+L_1 x+\ldots+L_{n}x^{n}, \qquad R_{n}(x)=L_{n+1}x^{n+1}+ L_{n+2}x^{n+2}+\ldotsNEWLINE\]NEWLINE The author proves that if \(\lim\limits_{n\to\infty} \overline{\lim\limits_{m\to\infty}}\max\limits_{1\leq i\leq N}\|R_{n}(Bx_{i})\|_{Y}=0\), then \(\lim\limits_{n\to\infty} \overline{\lim\limits_{m\to\infty}}\|F-P_{m,n}^{*}(F)\|_{H}=0\), where \(P_{m,n}^{*}(F)\) is the interpolation operator polynomial of minimal norm; \(x_0=0, x_{i}=e_{i_1}/\lambda_{i_1}+\ldots+ e_{i_{k}}/\lambda_{i_{k}}\), \(i=1,\ldots,N, 1\leq k\leq n, 1\leq i_{j}\leq m\); \(e_{i}, i=1,2,\ldots\) is the system of orthonormal eigenvectors of operator \(B\) with eigenvalues \(\lambda_{i}>0\).
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