eigenvalue


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Related to eigenvalue: eigenvalue equation, Eigenvalue Problem

ei·gen·val·ue

(ī'gĕn-val-yū),
Any of the possible values for a parameter of an equation for which the solution will be compatible with the boundary conditions. Compare: eigenfunction.
[Ger. eigen, particular, peculiar to]
References in periodicals archive ?
The scree plot shows that the eigenvalue of the first component is larger than that of the second, and that the second is larger than that of the third, and so on.
In recent years, different authors, among them Weinstock [14], Kuttler and Sigillito [8]n Payne [13], Escobar [4, 5, 6], Wang and Xia [15, 16], Illias and Makloul [7] and Montano [9, 10, 11, 12] among others have dealt with the problem of finding geometrical estimates for the first eigenvalue of Steklov.
This eigenvector is referred to as the Perron vector and is associated with the maximum eigenvalue of A (or of G).
We can see that the Leslie matrices corresponding to the data in Table I and Table II, respectively, have a real eigenvalue that is larger than the others, which satisfies the conclusion of the Perron-Frobenius Theorem.
The eigenvalues of Cordoba et al and those generated randomly (100 replications) No.
As it is illustrated later, the second-order TC using (8) has a more clustered eigenvalue distribution and consequently the resulting DDM has a better iterative convergence.
0000 Figure 6 Collinearity Diagnostics (intercept adjusted) Condition Number Eigenvalue Index X1 X2 1 2.
d-1], its signed characteristic vector is an eigenvector of eigenvalue [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (Proposition 3.
The maximum and minimum eigenvalue of the covariance matrix are obtained, which can be denoted as [[lambda].
In order to alleviate the underestimation problem, an enhanced eigenvalue estimator is applied, which results in better estimations of the diversity gain and capacity, although the enhanced estimator is a bit mathematically involved.
Reanalysis methods estimate the eigenvalues and eigenvectors of a modified design without performing a full-order eigenvalue analysis.