X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Feja%2FTODO;h=1def3d2e9fd8cf381ae743344ce670a13f226438;hb=cc172fbdcd369542f90cf64e31611cf8698bc05a;hp=bde3e3bb767b5fbcd9bc34971b34cf0abdaeb1dc;hpb=88e98ce65ad03a557c001b5f4cd7ba6e76164938;p=sage.d.git diff --git a/mjo/eja/TODO b/mjo/eja/TODO index bde3e3b..1def3d2 100644 --- a/mjo/eja/TODO +++ b/mjo/eja/TODO @@ -1,25 +1,20 @@ -1. Finish CartesianProductEJA: add to_matrix(), random_instance(),... - methods. I guess we should create a separate class hierarchy for - Cartesian products of RationalBasisEJA? That way we get fast - charpoly and random_instance() defined... +1. Add references and start citing them. -2. Add references and start citing them. +2. Profile (and fix?) any remaining slow operations. -3. Implement the octonion simple EJA. +3. Every once in a long while, the test -4. Pre-cache charpoly for some small algebras? + sage: set_random_seed() + sage: x = random_eja().random_element() + sage: x.is_invertible() == (x.det() != 0) -RealSymmetricEJA(4): + in eja_element.py returns False. Example: -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] - -5. The main EJA element constructor is happy to convert between - e.g. HadamardEJA(3) and JordanSpinEJA(3). - -6. Profile the construction of "large" matrix algebras (like the - 15-dimensional QuaternionHermitianAlgebra(3)) to find out why - they're so slow. - -7. Printing of Cartesian product subalgebrasis wrong (it prints the - superalgebra). + 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