X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;ds=sidebyside;f=mjo%2Feja%2Feja_algebra.py;h=0f2b655f21795cb1feb0e8b41cfc878261a67962;hb=c4203897950b84665ea41ed103f87f68aee0852e;hp=c33352c85d92c11022804ac1d2e6ce57aad7177f;hpb=3e690b1527edf09cfffb32edab5f69d3500bcd98;p=sage.d.git diff --git a/mjo/eja/eja_algebra.py b/mjo/eja/eja_algebra.py index c33352c..0f2b655 100644 --- a/mjo/eja/eja_algebra.py +++ b/mjo/eja/eja_algebra.py @@ -5,7 +5,7 @@ are used in optimization, and have some additional nice methods beyond what can be supported in a general Jordan Algebra. """ -from itertools import izip, repeat +from itertools import repeat from sage.algebras.quatalg.quaternion_algebra import QuaternionAlgebra from sage.categories.magmatic_algebras import MagmaticAlgebras @@ -641,6 +641,82 @@ class FiniteDimensionalEuclideanJordanAlgebra(CombinatorialFreeModule): In the future, this can be extended to a complete system of orthogonal idempotents. + + INPUT: + + - ``c`` -- an idempotent of this algebra. + + OUTPUT: + + A triple (J0, J5, J1) containing two subalgebras and one subspace + of this algebra, + + - ``J0`` -- the algebra on the eigenspace of ``c.operator()`` + corresponding to the eigenvalue zero. + + - ``J5`` -- the eigenspace (NOT a subalgebra) of ``c.operator()`` + corresponding to the eigenvalue one-half. + + - ``J1`` -- the algebra on the eigenspace of ``c.operator()`` + corresponding to the eigenvalue one. + + These are the only possible eigenspaces for that operator, and this + algebra is a direct sum of them. The spaces ``J0`` and ``J1`` are + orthogonal, and are subalgebras of this algebra with the appropriate + restrictions. + + SETUP:: + + sage: from mjo.eja.eja_algebra import random_eja, RealSymmetricEJA + + EXAMPLES: + + The canonical example comes from the symmetric matrices, which + decompose into diagonal and off-diagonal parts:: + + sage: J = RealSymmetricEJA(3) + sage: C = matrix(QQ, [ [1,0,0], + ....: [0,1,0], + ....: [0,0,0] ]) + sage: c = J(C) + sage: J0,J5,J1 = J.peirce_decomposition(c) + sage: J0 + Euclidean Jordan algebra of dimension 1... + sage: J5 + Vector space of degree 6 and dimension 2... + sage: J1 + Euclidean Jordan algebra of dimension 3... + + TESTS: + + Every algebra decomposes trivially with respect to its identity + element:: + + sage: set_random_seed() + sage: J = random_eja() + sage: J0,J5,J1 = J.peirce_decomposition(J.one()) + sage: J0.dimension() == 0 and J5.dimension() == 0 + True + sage: J1.superalgebra() == J and J1.dimension() == J.dimension() + True + + The identity elements in the two subalgebras are the + projections onto their respective subspaces of the + superalgebra's identity element:: + + sage: set_random_seed() + sage: J = random_eja() + sage: x = J.random_element() + sage: if not J.is_trivial(): + ....: while x.is_nilpotent(): + ....: x = J.random_element() + sage: c = x.subalgebra_idempotent() + sage: J0,J5,J1 = J.peirce_decomposition(c) + sage: J1(c) == J1.one() + True + sage: J0(J.one() - c) == J0.one() + True + """ if not c.is_idempotent(): raise ValueError("element is not idempotent: %s" % c) @@ -651,23 +727,24 @@ class FiniteDimensionalEuclideanJordanAlgebra(CombinatorialFreeModule): # eigenspace corresponding to lambda=1 if you take the # decomposition relative to the identity element). trivial = FiniteDimensionalEuclideanJordanSubalgebra(self, ()) - J0 = trivial # eigenvalue zero - J2 = trivial # eigenvalue one-half - J1 = trivial # eigenvalue one + J0 = trivial # eigenvalue zero + J5 = VectorSpace(self.base_ring(), 0) # eigenvalue one-half + J1 = trivial # eigenvalue one for (eigval, eigspace) in c.operator().matrix().left_eigenspaces(): - gens = tuple( self.from_vector(b) for b in eigspace.basis() ) - subalg = FiniteDimensionalEuclideanJordanSubalgebra(self, gens) - if eigval == 0: - J0 = subalg - elif eigval == ~(self.base_ring()(2)): - J2 = subalg - elif eigval == 1: - J1 = subalg + if eigval == ~(self.base_ring()(2)): + J5 = eigspace else: - raise ValueError("unexpected eigenvalue: %s" % eigval) + gens = tuple( self.from_vector(b) for b in eigspace.basis() ) + subalg = FiniteDimensionalEuclideanJordanSubalgebra(self, gens) + if eigval == 0: + J0 = subalg + elif eigval == 1: + J1 = subalg + else: + raise ValueError("unexpected eigenvalue: %s" % eigval) - return (J0, J2, J1) + return (J0, J5, J1) def random_elements(self, count): @@ -955,7 +1032,7 @@ class MatrixEuclideanJordanAlgebra(FiniteDimensionalEuclideanJordanAlgebra): basis = tuple( s.change_ring(field) for s in basis ) self._basis_normalizers = tuple( ~(self.natural_inner_product(s,s).sqrt()) for s in basis ) - basis = tuple(s*c for (s,c) in izip(basis,self._basis_normalizers)) + basis = tuple(s*c for (s,c) in zip(basis,self._basis_normalizers)) Qs = self.multiplication_table_from_matrix_basis(basis) @@ -978,8 +1055,8 @@ class MatrixEuclideanJordanAlgebra(FiniteDimensionalEuclideanJordanAlgebra): # with had entries in a nice field. return super(MatrixEuclideanJordanAlgebra, self)._charpoly_coeff(i) else: - basis = ( (b/n) for (b,n) in izip(self.natural_basis(), - self._basis_normalizers) ) + basis = ( (b/n) for (b,n) in zip(self.natural_basis(), + self._basis_normalizers) ) # Do this over the rationals and convert back at the end. J = MatrixEuclideanJordanAlgebra(QQ, @@ -989,7 +1066,7 @@ class MatrixEuclideanJordanAlgebra(FiniteDimensionalEuclideanJordanAlgebra): (_,x,_,_) = J._charpoly_matrix_system() p = J._charpoly_coeff(i) # p might be missing some vars, have to substitute "optionally" - pairs = izip(x.base_ring().gens(), self._basis_normalizers) + pairs = zip(x.base_ring().gens(), self._basis_normalizers) substitutions = { v: v*c for (v,c) in pairs } result = p.subs(substitutions)