Difference between revisions of "ApCoCoA1:Num.EigenValuesAndAllVectors"
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Revision as of 16:02, 22 April 2009
Num.EigenValuesAndAllVectors
Computes eigenvalues and left and right eigenvectors of a matrix
Syntax
Num.EigenValuesAndAllVectors(A:Matrix):[B:Matrix, C:Matrix, D:Matrix, E:Matrix, F:Matrix]
Description
Please note: The function(s) explained on this page is/are using the ApCoCoAServer. You will have to start the ApCoCoAServer in order to use
it/them. Please also note that you will have to use an ApCoCoAServer with enabled BLAS/LAPACK support.
This function returns a list of five matrices, containing numerical approximation to A's eigenvalues and right and left eigenvectors.
The input matrix A has to be a square matrix!
The output [B:Matrix, C:Matrix, D:Matrix, E:Matrix, F:Matrix] contains a matrix B, where each column contains one of A's eigenvalues. The first row contains the eigenvalue's real part, the second row the imaginary. The matrices C, D, E and F all have the same dimensions as A. Column j of matrix C contains the real part of the right eigenvector corresponding to eigenvalue j and column j of matrix D contains the imaginary part of the right eigenvector correspsonding to eigenvalue j. The matrices E and F store the left eigenvectors in the same way as C and D.
Example
A:=Mat([[1,2,7,18],[2,4,9,12],[23,8,9,10],[7,5,3,2]]); Dec(Num.EigenValuesAndAllVectors(A),3);  CoCoAServer: computing Cpu Time = 0.016  [Mat([ ["28.970", "13.677", "0.353", "0.353"], ["0", "0", "3.051", "3.051"] ]), Mat([ ["0.538", "0.600", "0.389", "0.389"], ["0.311", "0.222", "0.442", "0.442"], ["0.427", "0.174", "0.050", "0.050"], ["0.656", "0.748", "0", "0"] ]), Mat([ ["0", "0", "0.174", "0.174"], ["0", "0", "0.139", "0.139"], ["0", "0", "0.265", "0.265"], ["0", "0", "0.727", "0.727"] ]), Mat([ ["0.394", "0.581", "0.260", "0.260"], ["0.435", "0.442", "0.547", "0.547"], ["0.763", "0.621", "0", "0"], ["0.268", "0.281", "0.046", "0.046"] ]), Mat([ ["0", "0", "0.031", "0.031"], ["0", "0", "0.301", "0.301"], ["0", "0", "0.680", "0.680"], ["0", "0", "0.274", "0.274"] ])] 
See also
Numerical.EigenValuesAndVectors