X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Feja%2FTODO;h=9cee421b4f5cacee4e623a6b4d1099c191eeaf72;hb=f0cabe7c6e37781e4f92c9ba0e0c7413a5f6b939;hp=c9c264c436b198e02c39f7792307572c5efead7d;hpb=6eb5155f34449e38e92c75a0b471b5878a228ad8;p=sage.d.git diff --git a/mjo/eja/TODO b/mjo/eja/TODO index c9c264c..9cee421 100644 --- a/mjo/eja/TODO +++ b/mjo/eja/TODO @@ -1,32 +1,11 @@ -1. Finish DirectSumEJA: add to_matrix(), random_instance(), - one()... methods. Make it subclass RationalBasisEuclideanJordanAlgebra. - This is not a general direct sum / cartesian product implementation, - it's used only with the other rationalbasis algebras (to make non- - simple EJAs out of the simple ones). +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. 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... -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. Compute the scalar in the general natural_inner_product() for - matrices, so no overrides are necessary. - -6. The main EJA element constructor is happy to convert between - e.g. HadamardEJA(3) and JordanSpinEJA(3). - -7. Figure out if CombinatorialFreeModule's use of IndexedGenerators - can be used to replace the matrix_basis(). - -8. Move the "field" argument to a keyword after basis, jp, and ip. - -9. Add back the check_field=False and check_axioms=False parameters - for the EJAs we've constructed ourselves. We can probably pass - the value of "check_axioms" to .span_of_basis() to skip - the linear-independence check. +4. Add dimension bounds on any tests over AA that compute element + subalgebras.