Also see http://trac.sagemath.org/sage_trac/ticket/6165.

On Sep 15, 9:28 am, kcrisman <kcris...@gmail.com> wrote:
> > > As for you for now, you'd need to change the eigenvectors() command in
> > > the matrix code.  If you wanted to do so and submit a patch, it would be
> > > greatly appreciated!
>
> But all doctests pass for me in alpha1:
>
> ./sage -t "devel/sage/sage/matrix/"
> All tests passed!
> Total time for all tests: 177.1 seconds
>
>
>
> > maxima-5.19.1 can be found in Sage sage-4.1.2.alpha1, but being an
> > alpha, it is likely to be less stable than a 'stable' release of Sage.
> > Note Sage 4.1.2 will be the first Sage to have a recent update of
> > Maxima. The previous version, 4.1.1, does not.
>
> That's #6699 where the change went in.  Note that the patch there
> fixes similar eigenvector problems in doc/en/constructions/
> linear_algebra.rst and doc/en/tutorial/interfaces.rst, and, for that
> matter, sage/interfaces/maxima.py
>
> But actually, the problem is already in 4.1.1, with the previous
> Maxima:
>
> ----------------------------------------------------------------------
> | Sage Version 4.1.1, Release Date: 2009-08-14                       |
> | Type notebook() for the GUI, and license() for information.        |
> ----------------------------------------------------------------------
> sage: A = matrix(SR, [[1,2,3],[4,5,6],[7,8,9]])
> sage: A.eigenvectors_right()
> UserWarning: Using generic algorithm for an inexact ring, which may
> result in garbage from numerical precision issues.
>   # -*- coding: utf-8 -*-
>  UserWarning: Using generic algorithm for an inexact ring, which will
> probably give incorrect results due to numerical precision issues.
>   # -*- coding: utf-8 -*-
> TypeError: degree() takes exactly one argument (0 given)
> sage: maxima_console()
> Maxima 5.16.3http://maxima.sourceforge.net
>
> For some reason SR eigenvectors were never actually tested, I think -
> because they inherit directly from matrix2.pyx!  In fact, the error
> comes from eigenspaces_left in that file, where G = self.fcp() calls
> degree of a symbolic expression, which now requires an argument ! The
> symbolic upgrade strikes again...  I'll try to have a patch for this
> soon.
>
> - kcrisman
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