- """
- @staticmethod
- def __classcall_private__(cls, elt):
- superalgebra = elt.parent()
-
- # First compute the vector subspace spanned by the powers of
- # the given element.
- V = superalgebra.vector_space()
- superalgebra_basis = [superalgebra.one()]
- basis_vectors = [superalgebra.one().vector()]
- W = V.span_of_basis(basis_vectors)
- for exponent in range(1, V.dimension()):
- new_power = elt**exponent
- basis_vectors.append( new_power.vector() )
- try:
- W = V.span_of_basis(basis_vectors)
- superalgebra_basis.append( new_power )
- except ValueError:
- # Vectors weren't independent; bail and keep the
- # last subspace that worked.
- break
-
- # Make the basis hashable for UniqueRepresentation.
- superalgebra_basis = tuple(superalgebra_basis)
-
- # Now figure out the entries of the right-multiplication
- # matrix for the successive basis elements b0, b1,... of
- # that subspace.
- F = superalgebra.base_ring()
- mult_table = []
- for b_right in superalgebra_basis:
- b_right_rows = []
- # The first row of the right-multiplication matrix by
- # b1 is what we get if we apply that matrix to b1. The
- # second row of the right multiplication matrix by b1
- # is what we get when we apply that matrix to b2...
- #
- # IMPORTANT: this assumes that all vectors are COLUMN
- # vectors, unlike our superclass (which uses row vectors).
- for b_left in superalgebra_basis:
- # Multiply in the original EJA, but then get the
- # coordinates from the subalgebra in terms of its
- # basis.
- this_row = W.coordinates((b_left*b_right).vector())
- b_right_rows.append(this_row)
- b_right_matrix = matrix(F, b_right_rows)
- mult_table.append(b_right_matrix)
-
- for m in mult_table:
- m.set_immutable()
- mult_table = tuple(mult_table)
-
- # The rank is the highest possible degree of a minimal
- # polynomial, and is bounded above by the dimension. We know
- # in this case that there's an element whose minimal
- # polynomial has the same degree as the space's dimension
- # (remember how we constructed the space?), so that must be
- # its rank too.
- rank = W.dimension()
-
- # EJAs are power-associative, and this algebra is nothin but
- # powers.
- assume_associative=True
-
- # Figure out a non-conflicting set of names to use.
- valid_names = ['f','g','h','a','b','c','d']
- name_idx = 0
- names = normalize_names(W.dimension(), valid_names[0])
- # This loops so long as the list of collisions is nonempty.
- # Just crash if we run out of names without finding a set that
- # don't conflict with the parent algebra.
- while [y for y in names if y in superalgebra.variable_names()]:
- name_idx += 1
- names = normalize_names(W.dimension(), valid_names[name_idx])
-
- cat = superalgebra.category().Associative()
-
- # TODO: compute this and actually specify it.
- natural_basis = None
-
- fdeja = super(FiniteDimensionalEuclideanJordanElementSubalgebra, cls)
- return fdeja.__classcall__(cls,
- F,
- mult_table,
- rank,
- superalgebra_basis,
- W,
- assume_associative=assume_associative,
- names=names,
- category=cat,
- natural_basis=natural_basis)
-
- def __init__(self,
- field,
- mult_table,
- rank,
- superalgebra_basis,
- vector_space,
- assume_associative=True,
- names='f',
- category=None,
- natural_basis=None):
-
- self._superalgebra = superalgebra_basis[0].parent()
- self._vector_space = vector_space
- self._superalgebra_basis = superalgebra_basis
-
- fdeja = super(FiniteDimensionalEuclideanJordanElementSubalgebra, self)
- fdeja.__init__(field,
- mult_table,
- rank,
- assume_associative=assume_associative,
- names=names,
- category=category,
- natural_basis=natural_basis)