X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Feja%2Feja_element.py;h=739bff334c5aa2069dbf09244e7a7fa39ceaccb3;hb=39d8d3190b721ea21e0e86618d774437bc1eeb35;hp=2bf7aa2743d1fefc6952e521d17cb1f3d22fa276;hpb=ce40356d28ec29ebc9bd883ecc6a79c4f0d18e87;p=sage.d.git diff --git a/mjo/eja/eja_element.py b/mjo/eja/eja_element.py index 2bf7aa2..739bff3 100644 --- a/mjo/eja/eja_element.py +++ b/mjo/eja/eja_element.py @@ -523,6 +523,11 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement): whether or not the paren't algebra's zero element is a root of this element's minimal polynomial. + That is... unless the coefficients of our algebra's + "characteristic polynomial of" function are already cached! + In that case, we just use the determinant (which will be fast + as a result). + Beware that we can't use the superclass method, because it relies on the algebra being associative. @@ -553,6 +558,11 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement): else: return False + if self.parent()._charpoly_coefficients.is_in_cache(): + # The determinant will be quicker than computing the minimal + # polynomial from scratch, most likely. + return (not self.det().is_zero()) + # In fact, we only need to know if the constant term is non-zero, # so we can pass in the field's zero element instead. zero = self.base_ring().zero() @@ -1008,6 +1018,10 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement): """ B = self.parent().natural_basis() W = self.parent().natural_basis_space() + + # This is just a manual "from_vector()", but of course + # matrix spaces aren't vector spaces in sage, so they + # don't have a from_vector() method. return W.linear_combination(zip(B,self.to_vector())) @@ -1253,7 +1267,7 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement): sage: (J0, J5, J1) = J.peirce_decomposition(c1) sage: (f0, f1, f2) = J1.gens() sage: f0.spectral_decomposition() - [(0, 1.000000000000000?*f2), (1, 1.000000000000000?*f0)] + [(0, f2), (1, f0)] """ A = self.subalgebra_generated_by(orthonormalize_basis=True)