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""" 

Ideals of Finite Algebras 

""" 

from __future__ import absolute_import 

 

#***************************************************************************** 

# Copyright (C) 2011 Johan Bosman <johan.g.bosman@gmail.com> 

# Copyright (C) 2011, 2013 Peter Bruin <peter.bruin@math.uzh.ch> 

# 

# Distributed under the terms of the GNU General Public License (GPL) 

# as published by the Free Software Foundation; either version 2 of 

# the License, or (at your option) any later version. 

# http://www.gnu.org/licenses/ 

#***************************************************************************** 

 

from .finite_dimensional_algebra_element import FiniteDimensionalAlgebraElement 

 

from sage.matrix.constructor import Matrix 

from sage.structure.element import is_Matrix 

from sage.rings.ideal import Ideal_generic 

from sage.structure.element import parent 

from sage.structure.sage_object import SageObject 

 

from sage.misc.cachefunc import cached_method 

from functools import reduce 

 

from sage.structure.richcmp import (op_LT, op_LE, op_EQ, op_NE, 

op_GT, op_GE) 

 

 

class FiniteDimensionalAlgebraIdeal(Ideal_generic): 

""" 

An ideal of a :class:`FiniteDimensionalAlgebra`. 

 

INPUT: 

 

- ``A`` -- a finite-dimensional algebra 

- ``gens`` -- the generators of this ideal 

- ``given_by_matrix`` -- (default: ``False``) whether the basis matrix is 

given by ``gens`` 

 

EXAMPLES:: 

 

sage: A = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: A.ideal(A([0,1])) 

Ideal (e1) of Finite-dimensional algebra of degree 2 over Finite Field of size 3 

""" 

def __init__(self, A, gens=None, given_by_matrix=False): 

""" 

EXAMPLES:: 

 

sage: A = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: I = A.ideal(A([0,1])) 

sage: TestSuite(I).run(skip="_test_category") # Currently ideals are not using the category framework 

""" 

k = A.base_ring() 

n = A.degree() 

if given_by_matrix: 

self._basis_matrix = gens 

gens = gens.rows() 

elif gens is None: 

self._basis_matrix = Matrix(k, 0, n) 

elif isinstance(gens, (list, tuple)): 

B = [FiniteDimensionalAlgebraIdeal(A, x).basis_matrix() for x in gens] 

B = reduce(lambda x, y: x.stack(y), B, Matrix(k, 0, n)) 

self._basis_matrix = B.echelon_form().image().basis_matrix() 

elif is_Matrix(gens): 

gens = FiniteDimensionalAlgebraElement(A, gens) 

elif isinstance(gens, FiniteDimensionalAlgebraElement): 

gens = gens.vector() 

B = Matrix([(gens * b).list() for b in A.table()]) 

self._basis_matrix = B.echelon_form().image().basis_matrix() 

Ideal_generic.__init__(self, A, gens) 

 

def _richcmp_(self, other, op): 

r""" 

Comparisons 

 

TESTS:: 

 

sage: A = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: I = A.ideal(A([1,1])) 

sage: J = A.ideal(A([0,1])) 

sage: I == J 

False 

sage: I == I 

True 

sage: I == I + J 

True 

 

sage: A2 = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: A is A2 

True 

sage: A == A2 

True 

sage: I2 = A.ideal(A([1,1])) 

sage: I == I2 

True 

 

sage: I != J, I != I, I != I+J 

(True, False, False) 

sage: I <= J, I <= I, I <= I+J 

(False, True, True) 

sage: I < J, I < I, I < I+J 

(False, False, False) 

sage: I >= J, I >= I, I >= I+J 

(True, True, True) 

sage: I > J, I > I, I > I+J 

(True, False, False) 

 

sage: I = A.ideal(A([1,1])) 

sage: J = A.ideal(A([0,1])) 

sage: I != J 

True 

sage: I != I 

False 

sage: I != I + J 

False 

""" 

if self.basis_matrix() == other.basis_matrix(): 

return op == op_EQ or op == op_LE or op == op_GE 

elif op == op_EQ: 

return False 

elif op == op_NE: 

return True 

if op == op_LE or op == op_LT: 

return self.vector_space().is_subspace(other.vector_space()) 

elif op == op_GE or op == op_GT: 

return other.vector_space().is_subspace(self.vector_space()) 

 

def __contains__(self, elt): 

""" 

EXAMPLES:: 

 

sage: A = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: J = A.ideal(A([0,1])) 

sage: A([0,1]) in J 

True 

sage: A([1,0]) in J 

False 

""" 

if self.ring() is not parent(elt): 

return False 

return elt.vector() in self.vector_space() 

 

def basis_matrix(self): 

""" 

Return the echelonized matrix whose rows form a basis of ``self``. 

 

EXAMPLES:: 

 

sage: A = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: I = A.ideal(A([1,1])) 

sage: I.basis_matrix() 

[1 0] 

[0 1] 

""" 

return self._basis_matrix 

 

@cached_method 

def vector_space(self): 

""" 

Return ``self`` as a vector space. 

 

EXAMPLES:: 

 

sage: A = FiniteDimensionalAlgebra(GF(3), [Matrix([[1, 0], [0, 1]]), Matrix([[0, 1], [0, 0]])]) 

sage: I = A.ideal(A([1,1])) 

sage: I.vector_space() 

Vector space of degree 2 and dimension 2 over Finite Field of size 3 

Basis matrix: 

[1 0] 

[0 1] 

""" 

return self.basis_matrix().image()