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Approximation and asymptotics of eigenvalues of unbounded self-adjoint Jacobi matrices acting in 12 by the use of finite submatrices

机译:通过使用有限子矩阵,作用于12的无界自伴Jacobi矩阵的特征值的逼近和渐近性

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摘要

We consider the problem of approximation of eigenvalues of a self-adjoint operator 1 defined by a Jacobi matrixin the Hilbert space 12(N) by eigenvalues of principal finite submatrices of an infinite Jacobi matrix that definesthis operator. We assume the operator 1 is bounded from below with compact resolvent. In our research weestimate the asymptotics (with noo) of the joint error of approximation for the eigenvalues, numbered from1 to N, of ] by the eigenvalues of the finite submatrix ∫nof ordern x n,whereN =max{k E N : < rn}and r E (0,1) is arbitrary chosen. We apply this result to obtain an asymptotics for the eigenvalues of 1. Themethod applied in this research is based on Volkmer's results included in [23].
机译:我们考虑由希尔伯特空间12(N)中的Jacobi矩阵定义的自伴算子1的特征值与定义该算子的无限Jacobi矩阵的主要有限子矩阵的特征值近似的问题。我们假设运算符1从下面受紧凑解析器限制。在我们的研究中,我们用阶为xn的有限子矩阵∫n的特征值来估计特征值从1到N的逼近联合误差的渐近性(无),其中N = max {k EN:

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