Michael Orlitzky [Tue, 29 Oct 2019 01:57:11 +0000 (21:57 -0400)]
eja: drop custom gram_schmidt() routine that isn't noticeably faster.
Using Gram-Schmidt in SageMath is a bit of a pain, since you have to
put your vector space elements into a matrix, which means you have to
convert them to vectors first. And then you wind up transposing the
matrix twice, and then you have to convert everything back to vectors
and then back to algebra elements, dropping the zero vectors/elements
in the process. Sounds slow, right?
Well, testing shows that jumping through all those hoops and using the
default implementation isn't much slower than the custom routine I
wrote. So, for now, let's delete it.
Beware that this breaks the construction of subalgebras when the field
is not exact because SageMath won't orthonormalize over an inexact
field.
Michael Orlitzky [Thu, 29 Aug 2019 12:56:56 +0000 (08:56 -0400)]
eja: add a WIP gram-schmidt for EJA elements.
This doesn't really work right now because we need a whole bunch of
algebraic numbers that we don't know a priori. I might need to suck
it up and just use AA instead of quadratic number fields.
Michael Orlitzky [Mon, 26 Aug 2019 04:00:00 +0000 (00:00 -0400)]
eja: introduce an intermediate class for "concrete" algebras.
There were two TODO items that are basically impossible: we can't
construct a "random" EJA from (say) an associative matrix algebra,
mainly because we don't know its rank. For that reason, it doesn't
make sense to have random_instance() defined in the parent class.
Now there's a subclass (KnownRankEJA) with those methods.
Michael Orlitzky [Wed, 21 Aug 2019 20:10:14 +0000 (16:10 -0400)]
eja: refactor some of the basis and inner-product stuff.
This is movement towards eventually cheating on the charpoly
coefficients, which we should be able to compute in the "nice" basis
and then scale to the normalized one. The coefficients are polynomials
in "the coordinates of x", and those coordinates change only by a
scalar multiple when we normalize the basis.
Michael Orlitzky [Wed, 21 Aug 2019 14:50:55 +0000 (10:50 -0400)]
eja: add "normalize" argument to matrix algebra constructors.
This is useful for two reasons:
1. It's nice to be able to test that some things are invariant
under changes of basis.
2. The min/charpoly computations will be a lot faster if we
can use the basis over QQ (i.e. if the properties that we're
testing in the first item hold).
Michael Orlitzky [Tue, 20 Aug 2019 21:28:06 +0000 (17:28 -0400)]
eja: use NumberField instead of QuadraticField everywhere.
This will be more extensible when we need a field containing both
sqrt(2) and sqrt(-1). QuadraticField can't handle that, so we have to
use NumberField anyway at that point. Might as well get it out of the
way.
Michael Orlitzky [Tue, 20 Aug 2019 20:46:16 +0000 (16:46 -0400)]
eja: normalize the real symmetric matrix basis.
This is necessary to ensure that the default basis representation is
an isometry. When it is not, the left-multiplication operator is
self-adjoint (by the Jordan axiom), but its matrix with respect to
that basis is not. The other two matrix algebras need similar fixing.
Michael Orlitzky [Tue, 20 Aug 2019 15:11:32 +0000 (11:11 -0400)]
eja: use the basis space ring instead of the element's during construction.
Basically, when we're constructing an element, we're trying to fit
some given representation into a pre-existing space. Thus it makes
sense to build that space out of the pre-existing stuff, and not from
the element's base ring. This makes sense in general.
Michael Orlitzky [Sat, 10 Aug 2019 00:00:04 +0000 (20:00 -0400)]
eja: fix the natural representation in trivial subalgebras.
The natural representation relies on knowing a matrix space, and in a
trivial subalgebra there ain't no matrices to have no spaces. To work
around that, the space is now computed/stored separately, in a new
natural_basis_space() method. This is then overridden in the subalgebra
class to do the right thing.