Inverse Spectral Problems for Tridiagonal <i>N</i> by <i>N</i> Complex Hamiltonians

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Abstract

In this paper, the concept of generalized spectral function is introduced for finite-order tridiagonal symmetric matrices (Jacobi matrices) with complex entries. The structure of the generalized spectral function is described in terms of spectral data consisting of the eigenvalues and normalizing numbers of the matrix. The inverse problems from generalized spectral function as well as from spectral data are investigated. In this way, a procedure for construction of complex tridiagonal matrices having real eigenvalues is obtained.

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Keywords

Jacobi matrix, difference equation, generalized spectral function, spectral data, Quantum Physics, FOS: Physical sciences, difference equation, spectral data, generalized spectral function, Mathematics - Spectral Theory, Jacobi matrix, Mathematics - Classical Analysis and ODEs, QA1-939, Classical Analysis and ODEs (math.CA), FOS: Mathematics, Quantum Physics (quant-ph), Spectral Theory (math.SP), Mathematics, Eigenvalues, singular values, and eigenvectors, complex tridiagonal matrices, tridiagonal symmetric matrices, inverse problems, Hamiltonian matrix, Inverse problems in linear algebra, real eigenvalues, Hermitian, skew-Hermitian, and related matrices

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01 natural sciences, 0101 mathematics

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CrossRef : 4

Scopus : 18

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18

checked on May 27, 2026

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15

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