X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Feja%2FTODO;h=1def3d2e9fd8cf381ae743344ce670a13f226438;hb=cc172fbdcd369542f90cf64e31611cf8698bc05a;hp=310e3073c667fb42b7591c0b8a989f590455e4fa;hpb=197e8fdf8737fabde9003bd093cf45527afd4568;p=sage.d.git diff --git a/mjo/eja/TODO b/mjo/eja/TODO index 310e307..1def3d2 100644 --- a/mjo/eja/TODO +++ b/mjo/eja/TODO @@ -1,38 +1,20 @@ 1. Add references and start citing them. -2. Pre-cache charpoly for some small algebras? +2. Profile (and fix?) any remaining slow operations. -RealSymmetricEJA(4): - -sage: F = J.base_ring() -sage: a0 = (1/4)*X[4]**2*X[6]**2 - (1/2)*X[2]*X[5]*X[6]**2 - (1/2)*X[3]*X[4]*X[6]*X[7] + (F(2).sqrt()/2)*X[1]*X[5]*X[6]*X[7] + (1/4)*X[3]**2*X[7]**2 - (1/2)*X[0]*X[5]*X[7]**2 + (F(2).sqrt()/2)*X[2]*X[3]*X[6]*X[8] - (1/2)*X[1]*X[4]*X[6*X[8] - (1/2)*X[1]*X[3]*X[7]*X[8] + (F(2).sqrt()/2)*X[0]*X[4]*X[7]*X[8] + (1/4)*X[1]**2*X[8]**2 - (1/2)*X[0]*X[2]*X[8]**2 - (1/2)*X[2]*X[3]**2*X[9] + (F(2).sqrt()/2)*X[1]*X[3]*X[4]*X[9] - (1/2)*X[0]*X[4]**2*X[9] - (1/2)*X[1]**2*X[5]*X[9] + X[0]*X[2]*X[5]*X[9] - -3. Profile the construction of "large" matrix algebras (like the - 15-dimensional QuaternionHermitianAlgebra(3)) to find out why - they're so slow. - -4. Instead of storing a basis multiplication matrix, just make - product_on_basis() a cached method and manually cache its - entries. The cython cached method lookup should be faster than a - python-based matrix lookup anyway. NOTE: we should still be able - to recompute the table somehow. Is this worth it? - -5. What the ever-loving fuck is this shit? - - sage: O = Octonions(QQ) - sage: e0 = O.monomial(0) - sage: e0*[[[[]]]] - [[[[]]]]*e0 - -6. Can we convert the complex/quaternion algebras to avoid real- - (un)embeddings? Quaternions would need their own - QuaternionMatrixAlgebra, since Sage matrices have to have entries - in a commutative ring. - -7. Every once in a long while, the test +3. Every once in a long while, the test sage: set_random_seed() sage: x = random_eja().random_element() sage: x.is_invertible() == (x.det() != 0) - in eja_element.py returns False. + in eja_element.py returns False. Example: + + sage: J1 = ComplexHermitianEJA(2) + sage: J2 = TrivialEJA() + sage: J = cartesian_product([J1,J2]) + sage: x = J.from_vector(vector(QQ, [-1, -1/2, -1/2, -1/2])) + sage: x.is_invertible() + True + sage: x.det() + 0