]> gitweb.michael.orlitzky.com - sage.d.git/blobdiff - mjo/eja/eja_element.py
eja: fix incorrect usage of "Jordan axiom" -- I meant "associativity."
[sage.d.git] / mjo / eja / eja_element.py
index b8db12e9827de13720c8ac1dae97ec424edbd59c..070501852ae4efa8d6845d74240d4495695f42a9 100644 (file)
@@ -1,3 +1,5 @@
+from itertools import izip
+
 from sage.matrix.constructor import matrix
 from sage.modules.free_module import VectorSpace
 from sage.modules.with_basis.indexed_element import IndexedFreeModuleElement
@@ -754,7 +756,7 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement):
             sage: n_max = RealSymmetricEJA._max_test_case_size()
             sage: n = ZZ.random_element(1, n_max)
             sage: J1 = RealSymmetricEJA(n,QQ)
-            sage: J2 = RealSymmetricEJA(n,QQ,False)
+            sage: J2 = RealSymmetricEJA(n,QQ,normalize_basis=False)
             sage: X = random_matrix(QQ,n)
             sage: X = X*X.transpose()
             sage: x1 = J1(X)
@@ -830,7 +832,7 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement):
         """
         B = self.parent().natural_basis()
         W = self.parent().natural_basis_space()
-        return W.linear_combination(zip(B,self.to_vector()))
+        return W.linear_combination(izip(B,self.to_vector()))
 
 
     def norm(self):
@@ -1160,8 +1162,7 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement):
 
         TESTS:
 
-        The trace inner product is commutative, bilinear, and satisfies
-        the Jordan axiom:
+        The trace inner product is commutative, bilinear, and associative::
 
             sage: set_random_seed()
             sage: J = random_eja()
@@ -1181,7 +1182,7 @@ class FiniteDimensionalEuclideanJordanAlgebraElement(IndexedFreeModuleElement):
             ....:              a*x.trace_inner_product(z) )
             sage: actual == expected
             True
-            sage: # jordan axiom
+            sage: # associative
             sage: (x*y).trace_inner_product(z) == y.trace_inner_product(x*z)
             True