]> gitweb.michael.orlitzky.com - sage.d.git/blobdiff - mjo/eja/euclidean_jordan_algebra.py
eja: use the quadratic representation for the element inverse.
[sage.d.git] / mjo / eja / euclidean_jordan_algebra.py
index 920ecc988d21c8ce698fdd4dcf0aefceffdb8236..4b46380708e05fdeb564d300c6f5cca7f91178e7 100644 (file)
@@ -658,8 +658,10 @@ class FiniteDimensionalEuclideanJordanAlgebra(FiniteDimensionalAlgebra):
             """
             Return the Jordan-multiplicative inverse of this element.
 
-            We can't use the superclass method because it relies on the
-            algebra being associative.
+            ALGORITHM:
+
+            We appeal to the quadratic representation as in Koecher's
+            Theorem 12 in Chapter III, Section 5.
 
             EXAMPLES:
 
@@ -698,34 +700,28 @@ class FiniteDimensionalEuclideanJordanAlgebra(FiniteDimensionalAlgebra):
                 sage: (not x.is_invertible()) or (x.inverse()*x == J.one())
                 True
 
-            """
-            if not self.is_invertible():
-                raise ValueError("element not invertible")
+            The inverse of the inverse is what we started with::
 
-            if self.parent().is_associative():
-                elt = FiniteDimensionalAlgebraElement(self.parent(), self)
-                # elt is in the right coordinates, but has the wrong class.
-                return self.parent()(elt.inverse().vector())
+                sage: set_random_seed()
+                sage: J = random_eja()
+                sage: x = J.random_element()
+                sage: (not x.is_invertible()) or (x.inverse().inverse() == x)
+                True
 
-            # We do this a little different than the usual recursive
-            # call to a finite-dimensional algebra element, because we
-            # wind up with an inverse that lives in the subalgebra and
-            # we need information about the parent to convert it back.
-            V = self.span_of_powers()
-            assoc_subalg = self.subalgebra_generated_by()
-            # Mis-design warning: the basis used for span_of_powers()
-            # and subalgebra_generated_by() must be the same, and in
-            # the same order!
-            elt = assoc_subalg(V.coordinates(self.vector()))
+            The zero element is never invertible::
 
-            # This will be in the subalgebra's coordinates...
-            fda_elt = FiniteDimensionalAlgebraElement(assoc_subalg, elt)
-            subalg_inverse = fda_elt.inverse()
+                sage: set_random_seed()
+                sage: J = random_eja().zero().inverse()
+                Traceback (most recent call last):
+                ...
+                ValueError: element is not invertible
 
-            # So we have to convert back...
-            basis = [ self.parent(v) for v in V.basis() ]
-            pairs = zip(subalg_inverse.vector(), basis)
-            return self.parent().linear_combination(pairs)
+            """
+            if not self.is_invertible():
+                raise ValueError("element is not invertible")
+
+            P = self.parent()
+            return P(self.quadratic_representation().inverse()*self.vector())
 
 
         def is_invertible(self):
@@ -1086,38 +1082,77 @@ class FiniteDimensionalEuclideanJordanAlgebra(FiniteDimensionalAlgebra):
                 sage: J = random_eja()
                 sage: x = J.random_element()
                 sage: y = J.random_element()
+                sage: Lx = x.operator_matrix()
+                sage: Lxx = (x*x).operator_matrix()
+                sage: Qx = x.quadratic_representation()
+                sage: Qy = y.quadratic_representation()
+                sage: Qxy = x.quadratic_representation(y)
+                sage: Qex = J.one().quadratic_representation(x)
+                sage: n = ZZ.random_element(10)
+                sage: Qxn = (x^n).quadratic_representation()
 
             Property 1:
 
-                sage: actual = x.quadratic_representation(y)
-                sage: expected = ( (x+y).quadratic_representation()
-                ....:              -x.quadratic_representation()
-                ....:              -y.quadratic_representation() ) / 2
-                sage: actual == expected
+                sage: 2*Qxy == (x+y).quadratic_representation() - Qx - Qy
                 True
 
             Property 2:
 
                 sage: alpha = QQ.random_element()
-                sage: actual = (alpha*x).quadratic_representation()
-                sage: expected = (alpha^2)*x.quadratic_representation()
-                sage: actual == expected
+                sage: (alpha*x).quadratic_representation() == (alpha^2)*Qx
+                True
+
+            Property 3:
+
+                sage: not x.is_invertible() or (
+                ....:     Qx*x.inverse().vector() == x.vector() )
+                True
+
+                sage: not x.is_invertible() or (
+                ....:   Qx.inverse()
+                ....:   ==
+                ....:   x.inverse().quadratic_representation() )
+                True
+
+                sage: Qxy*(J.one().vector()) == (x*y).vector()
+                True
+
+            Property 4:
+
+                sage: not x.is_invertible() or (
+                ....:   x.quadratic_representation(x.inverse())*Qx
+                ....:   == Qx*x.quadratic_representation(x.inverse()) )
+                True
+
+                sage: not x.is_invertible() or (
+                ....:   x.quadratic_representation(x.inverse())*Qx
+                ....:   ==
+                ....:   2*x.operator_matrix()*Qex - Qx )
+                True
+
+                sage: 2*x.operator_matrix()*Qex - Qx == Lxx
                 True
 
             Property 5:
 
-                sage: Qy = y.quadratic_representation()
-                sage: actual = J(Qy*x.vector()).quadratic_representation()
-                sage: expected = Qy*x.quadratic_representation()*Qy
-                sage: actual == expected
+                sage: J(Qy*x.vector()).quadratic_representation() == Qy*Qx*Qy
                 True
 
             Property 6:
 
-                sage: k = ZZ.random_element(1,10)
-                sage: actual = (x^k).quadratic_representation()
-                sage: expected = (x.quadratic_representation())^k
-                sage: actual == expected
+                sage: Qxn == (Qx)^n
+                True
+
+            Property 7:
+
+                sage: not x.is_invertible() or (
+                ....:   Qx*x.inverse().operator_matrix() == Lx )
+                True
+
+            Property 8:
+
+                sage: not x.operator_commutes_with(y) or (
+                ....:   J(Qx*y.vector())^n == J(Qxn*(y^n).vector()) )
                 True
 
             """