X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Feja%2Feja_element.py;h=85ec494e53beaf05c788dbd5b04a23a18c0952d6;hb=a7b393c90d9ad22641185e3b959ab17fc6e1e9d8;hp=2c425ca320a5c04e6defee044bd0deb01e76dda4;hpb=99952b3ef2ad157d820f1dbd946d329987383464;p=sage.d.git diff --git a/mjo/eja/eja_element.py b/mjo/eja/eja_element.py index 2c425ca..85ec494 100644 --- a/mjo/eja/eja_element.py +++ b/mjo/eja/eja_element.py @@ -484,10 +484,12 @@ class FiniteDimensionalEJAElement(IndexedFreeModuleElement): of an element is the inverse of its left-multiplication operator applied to the algebra's identity, when that inverse exists:: - sage: J = random_eja() - sage: x = J.random_element() - sage: (not x.operator().is_invertible()) or ( - ....: x.operator().inverse()(J.one()) == x.inverse() ) + sage: J = random_eja() # long time + sage: x = J.random_element() # long time + sage: (not x.operator().is_invertible()) or ( # long time + ....: x.operator().inverse()(J.one()) # long time + ....: == # long time + ....: x.inverse() ) # long time True Check that the fast (cached) and slow algorithms give the same @@ -504,15 +506,18 @@ class FiniteDimensionalEJAElement(IndexedFreeModuleElement): True """ not_invertible_msg = "element is not invertible" - if self.parent()._charpoly_coefficients.is_in_cache(): + + algebra = self.parent() + if algebra._charpoly_coefficients.is_in_cache(): # We can invert using our charpoly if it will be fast to # compute. If the coefficients are cached, our rank had # better be too! if self.det().is_zero(): raise ZeroDivisionError(not_invertible_msg) - r = self.parent().rank() + r = algebra.rank() a = self.characteristic_polynomial().coefficients(sparse=False) - return (-1)**(r+1)*sum(a[i+1]*self**i for i in range(r))/self.det() + return (-1)**(r+1)*algebra.sum(a[i+1]*self**i + for i in range(r))/self.det() try: inv = (~self.quadratic_representation())(self) @@ -976,9 +981,9 @@ class FiniteDimensionalEJAElement(IndexedFreeModuleElement): The minimal polynomial should always kill its element:: - sage: x = random_eja().random_element() - sage: p = x.minimal_polynomial() - sage: x.apply_univariate_polynomial(p) + sage: x = random_eja().random_element() # long time + sage: p = x.minimal_polynomial() # long time + sage: x.apply_univariate_polynomial(p) # long time 0 The minimal polynomial is invariant under a change of basis,