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

Date
2009
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Natl Acad Sci Ukraine, inst Math
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
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
Turkish CoHE Thesis Center URL
Fields of Science
01 natural sciences, 0101 mathematics
Citation
WoS Q
Q2
Scopus Q
Q3

OpenCitations Citation Count
5
Source
7th Workshop on Quantum Physics with Non-Hermitian Operators -- JUN 29-JUL 11, 2007 -- Benasque, SPAIN
Volume
5
Issue
Start Page
End Page
PlumX Metrics
Citations
CrossRef : 4
Scopus : 18
Captures
Mendeley Readers : 3
SCOPUS™ Citations
18
checked on Feb 08, 2026
Web of Science™ Citations
15
checked on Feb 08, 2026
Page Views
2
checked on Feb 08, 2026
Google Scholar™


