SymPy can do it, as long as it can compute the roots of the characteristic polynomial. Is there any specific use-case you're looking for? The syntax is Matrix.diagonalize (or sqrt(Matrix) if all you want is the square root).
Aaron Meurer On Thu, Oct 2, 2014 at 6:54 PM, Chris Kees <[email protected]> wrote: > Hi, > > Does anybody have suggestions on sympy examples for symbolic eigenvector > decompositions A=RDR^t where A is symmetric with real positive distinct > eigenvalues? Or more specifically symbolic computations of A^{-1/2}. > > Chris > > -- > You received this message because you are subscribed to the Google Groups > "sympy" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at http://groups.google.com/group/sympy. > To view this discussion on the web visit > https://groups.google.com/d/msgid/sympy/CAOVFbFga0%3D%2Bzrx9-NJz2Xttd-_iVK3vzQt7ZuYC26nQWbTEtGw%40mail.gmail.com. > For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/CAKgW%3D6LOruu%3DMwXiLumFDydk1YP%3DaMNED6AbG55bcfQbyWsYmQ%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
