If I run this -
from sympy import *
M = Matrix([ [1, .6, .6], [.6, 1, .9], [.6, .9, 1] ])
print 'M =', M
print 'eig values =',M.eigenvals()
print 'eig vectors =',M.eigenvects()
I get -
M = [ 1, 0.6, 0.6]
[0.6, 1, 0.9]
[0.6, 0.9, 1]
eig values = {0.489531364385073: 1, 2.41046863561493: 1,
0.100000000000000: 1}
eig vectors =
Traceback (most recent call last):
File "EigenTest.py", line 8, in <module>
print 'eig vectors =',M.eigenvects()
File
"/usr/local/lib/python2.7/dist-packages/sympy-0.7.1_git-py2.7.egg/sympy/matrices/matrices.py",
line 2969, in eigenvects
raise NotImplementedError("Can't evaluate eigenvector for
eigenvalue %s" % r)
NotImplementedError: Can't evaluate eigenvector for eigenvalue
0.489531364385073
It runs right away (no delay) and gets the correct eigenvalues, but
cannot calculate the eigenvectors. Any suggestions?
The answer from Maple is -
[2.410468637, 1, {vector([.5154991337, .6059127988, .6059128004])}],
[.4895313645, 1, {vector([-.8568900997, .3645129341, .3645129324])}],
[.999999991e-1, 1, {vector([.1078e-8, .7071067798, -.7071067815])}]
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