X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Feja%2FTODO;h=38cff88c1584b5be8c6a6ce7e90a47b8350adce3;hb=c56bfc80980e381a62cbb964c4c7e1200d9c839c;hp=fe18d5634835c97dcc1ee635c4fadecab25787ea;hpb=3cd987f3ace9517518510e985eb7d1996a924a68;p=sage.d.git diff --git a/mjo/eja/TODO b/mjo/eja/TODO index fe18d56..38cff88 100644 --- a/mjo/eja/TODO +++ b/mjo/eja/TODO @@ -1,25 +1,8 @@ -1. Finish CartesianProductEJA: add to_matrix(), random_instance(), - one()... methods. This will require rethinking what a "matrix - representation" and "matrix space" means for a cartesian product - algebra. Do we want our matrix basis to consist of ordered pairs - (or triples, or...)? Should the matrix_space() of the algebra be - the cartesian product of the factors' matrix spaces? Can we just - fix the matrix basis/space after we call the FDEJA initializer? +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. - -4. Pre-cache charpoly for some small algebras? - -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] - -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. +3. When we take a Cartesian product involving a trivial algebra, we + could easily cache the identity and charpoly coefficients using + the nontrivial factor. On the other hand, it's nice that we can + test out some alternate code paths...