From: Michael Orlitzky <michael@orlitzky.com>
Date: Thu, 11 Mar 2021 18:56:23 +0000 (-0500)
Subject: eja: add more introductory documentation.
X-Git-Url: https://gitweb.michael.orlitzky.com/?a=commitdiff_plain;h=0cf1bd4fb459733e559f2040089e1905fc6af9ca;p=sage.d.git

eja: add more introductory documentation.
---

diff --git a/mjo/eja/eja_algebra.py b/mjo/eja/eja_algebra.py
index db1f476..8b37a83 100644
--- a/mjo/eja/eja_algebra.py
+++ b/mjo/eja/eja_algebra.py
@@ -52,6 +52,98 @@ the other algebras. Cartesian products of these are also supported
 using the usual ``cartesian_product()`` function; as a result, we
 support (up to isomorphism) all Euclidean Jordan algebras.
 
+At a minimum, the following are required to construct a Euclidean
+Jordan algebra:
+
+  * A basis of matrices, column vectors, or MatrixAlgebra elements
+  * A Jordan product defined on the basis
+  * Its inner product defined on the basis
+
+The real numbers form a Euclidean Jordan algebra when both the Jordan
+and inner products are the usual multiplication. We use this as our
+example, and demonstrate a few ways to construct an EJA.
+
+First, we can use one-by-one SageMath matrices with algebraic real
+entries to represent real numbers. We define the Jordan and inner
+products to be essentially real-number multiplication, with the only
+difference being that the Jordan product again returns a one-by-one
+matrix, whereas the inner product must return a scalar. Our basis for
+the one-by-one matrices is of course the set consisting of a single
+matrix with its sole entry non-zero::
+
+    sage: from mjo.eja.eja_algebra import FiniteDimensionalEJA
+    sage: jp = lambda X,Y: X*Y
+    sage: ip = lambda X,Y: X[0,0]*Y[0,0]
+    sage: b1 = matrix(AA, [[1]])
+    sage: J1 = FiniteDimensionalEJA((b1,), jp, ip)
+    sage: J1
+    Euclidean Jordan algebra of dimension 1 over Algebraic Real Field
+
+In fact, any positive scalar multiple of that inner-product would work::
+
+    sage: ip2 = lambda X,Y: 16*ip(X,Y)
+    sage: J2 = FiniteDimensionalEJA((b1,), jp, ip2)
+    sage: J2
+    Euclidean Jordan algebra of dimension 1 over Algebraic Real Field
+
+But beware that your basis will be orthonormalized _with respect to the
+given inner-product_ unless you pass ``orthonormalize=False`` to the
+constructor. For example::
+
+    sage: J3 = FiniteDimensionalEJA((b1,), jp, ip2, orthonormalize=False)
+    sage: J3
+    Euclidean Jordan algebra of dimension 1 over Algebraic Real Field
+
+To see the difference, you can take the first and only basis element
+of the resulting algebra, and ask for it to be converted back into
+matrix form::
+
+    sage: J1.basis()[0].to_matrix()
+    [1]
+    sage: J2.basis()[0].to_matrix()
+    [1/4]
+    sage: J3.basis()[0].to_matrix()
+    [1]
+
+Since square roots are used in that process, the default scalar field
+that we use is the field of algebraic real numbers, ``AA``. You can
+also Use rational numbers, but only if you either pass
+``orthonormalize=False`` or know that orthonormalizing your basis
+won't stray beyond the rational numbers. The example above would
+have worked only because ``sqrt(16) == 4`` is rational.
+
+Another option for your basis is to use elemebts of a
+:class:`MatrixAlgebra`::
+
+    sage: from mjo.matrix_algebra import MatrixAlgebra
+    sage: A = MatrixAlgebra(1,AA,AA)
+    sage: J4 = FiniteDimensionalEJA(A.gens(), jp, ip)
+    sage: J4
+    Euclidean Jordan algebra of dimension 1 over Algebraic Real Field
+    sage: J4.basis()[0].to_matrix()
+    +---+
+    | 1 |
+    +---+
+
+An easier way to view the entire EJA basis in its original (but
+perhaps orthonormalized) matrix form is to use the ``matrix_basis``
+method::
+
+    sage: J4.matrix_basis()
+    (+---+
+    | 1 |
+     +---+,)
+
+In particular, a :class:`MatrixAlgebra` is needed to work around the
+fact that matrices in SageMath must have entries in the same
+(commutative and associative) ring as its scalars. There are many
+Euclidean Jordan algebras whose elements are matrices that violate
+those assumptions. The complex, quaternion, and octonion Hermitian
+matrices all have entries in a ring (the complex numbers, quaternions,
+or octonions...) that differs from the algebra's scalar ring (the real
+numbers). Quaternions are also non-commutative; the octonions are
+neither commutative nor associative.
+
 SETUP::
 
     sage: from mjo.eja.eja_algebra import random_eja