Eigenvector Matrices of Symmetric Tridiagonals,

Abstract

A simple test is given for determining whether a given matrix is the eigenvector matrix of an (unknown) unreduced symmetric tridiagonal matrix. A list of known necessary conditons is also provided. A lower bound on the separation between eigenvalues of tridiagonals follows from our Theorem 3. (Author).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1983
Accession Number
ADA134172

Entities

People

  • Beresford N. Parlett
  • W-d Wu

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Mathematics
  • California
  • Contracts
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Fourier Analysis
  • Mathematical Analysis
  • Mathematics
  • Matrices (Mathematics)
  • Matrix Theory
  • Polynomials
  • Sequences
  • Spectra
  • Theorems
  • United States
  • Wave Functions

Fields of Study

  • Mathematics

Readers

  • Linear Algebra
  • Systems Analysis and Design