Difference between revisions of "ApCoCoA-1:Num.EigenValuesAndAllVectors"

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     <short_description>eigenvalues and left and right eigenvectors of a matrix</short_description>
     <short_description>eigenvalues and left and right eigenvectors of a matrix</short_description>

Revision as of 10:04, 17 March 2009


eigenvalues and left and right eigenvectors of a matrix




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 three matrices, containing numerical approximation to A's eigenvalues and right and left eigenvectors.

Therefore the input matrix A has to be rectangular!

It is implemented in the ApCoCoA server, so you need a running server. It was not implemented in version 0.99.4 or previous. Also please keep in mind this method is based on blas/Lapack's eigenvalue solver and uses floating point arithmetic. This is not an exact, algebraic method! The output list contains first a matrix B. Each row of B describe one of A's eigenvalues. The first column contains the eigenvalue's real part, the second the imaginary. The second element of the list is a matrix of the size of A, containing A's left hand eigenvectors, while the third element in the list is a matrix containing the right hand eigenvectors. Column j contains the eigenvector corresponding to eigenvalue j if the imaginary part of j is zero. If eigenvalue j had also an imaginary part, then eigenvalue j+1 is the complex conjugate of j and the eigenvector of j is composed of the real part stored in column j and the imaginary part stored in column j+1. The eigenvector of j+1 is the complex conjugate of eigenvector j.


-- CoCoAServer: computing Cpu Time = 0.0031
  [4077234895954899/140737488355328, -3850002255576291/281474976710656, 3186113456591853/9007199254740992, 3186113456591853/9007199254740992],
  [0, 0, 6871934657603045/2251799813685248, -6871934657603045/2251799813685248]
]), Mat([
  [1211656389006889/2251799813685248, 5405727161387211/9007199254740992, 1571393504747479/9007199254740992, -7024364631742825/18014398509481984],
  [350694995566991/1125899906842624, 4012694633891333/18014398509481984, -5041294450411215/36028797018963968, 7963794620848619/18014398509481984],
  [7702243945405117/18014398509481984, -6293666352540407/36028797018963968, -4789736757058405/18014398509481984, -3648514314569325/72057594037927936],
  [5910799605047357/9007199254740992, -6738448111784603/9007199254740992, 3276340384567917/4503599627370496, 0]
]), Mat([
  [1777559794020963/4503599627370496, 5241040126502889/9007199254740992, -4553859282588877/144115188075855872, 4695168387448585/18014398509481984],
  [7846388397589841/18014398509481984, 3981313256671163/9007199254740992, -5438845171485265/18014398509481984, -4930385173711607/9007199254740992],
  [6875189208942329/9007199254740992, -5600762787593733/9007199254740992, 11970674168303/17592186044416, 0],
  [2414763704612135/9007199254740992, -5076115741924331/18014398509481984, -2469130937097749/9007199254740992, 3322230315885151/72057594037927936]

See also

Introduction to CoCoAServer