Difference between revisions of "ApCoCoA-1:Num.EigenValuesAndAllVectors"
(update description) |
|||
Line 10: | Line 10: | ||
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! | 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 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. | + | 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. |
<example> | <example> | ||
A:=Mat([[1,2,7,18],[2,4,9,12],[23,8,9,10],[7,5,3,2]]); | A:=Mat([[1,2,7,18],[2,4,9,12],[23,8,9,10],[7,5,3,2]]); | ||
Line 17: | Line 17: | ||
------------------------------- | ------------------------------- | ||
[Mat([ | [Mat([ | ||
− | [ | + | [4077234895954899/140737488355328, -3850002255576291/281474976710656, 3186113456591853/9007199254740992, 3186113456591853/9007199254740992], |
− | [ | + | [0, 0, 6871934657603045/2251799813685248, -6871934657603045/2251799813685248] |
]), Mat([ | ]), 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([ | ]), 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] |
])] | ])] | ||
------------------------------- | ------------------------------- |
Revision as of 14:16, 19 October 2008
Numerical.EigenValuesAndAllVectors
eigenvalues and left and right eigenvectors of a matrix
Syntax
$numerical.EigenValues(A:Matrix):List
Description
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.
Example
A:=Mat([[1,2,7,18],[2,4,9,12],[23,8,9,10],[7,5,3,2]]); Numerical.EigenValuesAndAllVectors(A); -- CoCoAServer: computing Cpu Time = 0.0031 ------------------------------- [Mat([ [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
Numerical.EigenValuesAndVectors