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Simplified calculation of eigenvector derivatives

AIAA Journal · 1976 · Vol. 14(9) · pp. 1201–1205
Richard B. Nelson

Abstract

A simplified procedure is presented for the determination of the derivatives of eigenvectors of nth order algebraic eigensystems. The method is applicable to symmetric or nonsymmetric systems, and requires knowledge of only one eigenvalue and its associated right and left eigenvectors. In the procedure, the matrix of the original eigensystem of rank (/?-!) is modified to convert it to a matrix of rank /?, which then is solved directly for a vector which, together with the eigenvector, gives the eigenvector derivative to within an arbitrary constant. The norm of the eigenvector is used to determine this constant and complete the calculation. The method is simple, since the modified n rank matrix is formed without matrix multiplication or extensive manipulation. Since the matrix has the same bandedness as the original eigensystems, it can be treated efficiently using the same banded equation solution algorithms that are used to find the eigenvectors.

Matrix Theory and AlgorithmsEigenvalues and eigenvectorsMathematicsDefective matrixMatrix (chemical analysis)Rank (graph theory)Constant (computer programming)Eigenvalue perturbationGeneralized eigenvectorApplied mathematicsEigenvalues and eigenvectors of the second derivative
Citations
898
FWCI
2.35
field-weighted impact
References
17
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89%
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References
Rates of change of eigenvalues and eigenvectors.
AIAA Journal · 1968 · 1,142 citations
The Algebraic Eigenvalue Problem
Mathematics of Computation · 1966 · 5,208 citations
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