24.03.2012 18:13, Alan Bromborsky пишет:
> 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])}]
>
>
It is related with this open issue:
http://code.google.com/p/sympy/issues/detail?id=2193
Alexey.
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