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Article
On the Construction of Jacobi Matrices from Mixed data
Alabama Journal of Mathematics
  • Lei Cao, Drexel University
  • Yilin Yang, Drexel University
Document Type
Article
Publication Date
1-1-2015
Disciplines
Abstract

We show that a unique Jacobi matrix can be reconstructed from two types of mixed data: 1. its two eigenpairs, 2. its eigenvalues and the eigenvalues of its submatrix obtained by removing the first two rows and columns and its 1-1 entry. For the second case, the condition of existence is provided. In addition, we summarize the equivalent sets of parameters used to recover Jacobi matrices and show some direct connections.

ORCID ID
0000-0001-7613-7191
ResearcherID
G-7341-2019
Citation Information
Lei Cao and Yilin Yang. "On the Construction of Jacobi Matrices from Mixed data" Alabama Journal of Mathematics Vol. 39 (2015) p. 1 - 4 ISSN: 2373-0404
Available at: http://works.bepress.com/lei-cao/10/