示例#1
0
    def __classcall_private__(cls,
                              R,
                              classification,
                              s_coeff,
                              names,
                              index_set=None,
                              category=None,
                              **kwds):
        r"""
        Normalize input to ensure a unique representation.
        """
        names, index_set = standardize_names_index_set(names, index_set)
        s_coeff = LieAlgebraWithStructureCoefficients._standardize_s_coeff(
            s_coeff, index_set)

        cat = LieAlgebras(R).FiniteDimensional().WithBasis().Nilpotent()
        category = cat.or_subcategory(category)

        return super(ClassifiedNilpotentLieAlgebra,
                     cls).__classcall__(cls,
                                        R,
                                        classification,
                                        s_coeff,
                                        names,
                                        index_set,
                                        category=category,
                                        **kwds)
示例#2
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    def __classcall_private__(cls, R, s_coeff, names=None, index_set=None,
                              category=None, **kwds):
        """
        Normalize input to ensure a unique representation.

        EXAMPLES:

        If the variable order is specified, the order of structural
        coefficients does not matter::

            sage: from sage.algebras.lie_algebras.nilpotent_lie_algebra import NilpotentLieAlgebra_dense
            sage: L1.<x,y,z> = NilpotentLieAlgebra_dense(QQ, {('x','y'): {'z': 1}})
            sage: L2.<x,y,z> = NilpotentLieAlgebra_dense(QQ, {('y','x'): {'z': -1}})
            sage: L1 is L2
            True

        If the variables are implicitly defined by the structural coefficients,
        the ordering may be different and the Lie algebras will be considered
        different::

            sage: from sage.algebras.lie_algebras.nilpotent_lie_algebra import NilpotentLieAlgebra_dense
            sage: L1 = NilpotentLieAlgebra_dense(QQ, {('x','y'): {'z': 1}})
            sage: L2 = NilpotentLieAlgebra_dense(QQ, {('y','x'): {'z': -1}})
            sage: L1
            Nilpotent Lie algebra on 3 generators (x, y, z) over Rational Field
            sage: L2
            Nilpotent Lie algebra on 3 generators (y, x, z) over Rational Field
            sage: L1 is L2
            False

        Constructed using two different methods from :class:`LieAlgebra`
        yields the same Lie algebra::

            sage: sc = {('X','Y'): {'Z': 1}}
            sage: C = LieAlgebras(QQ).Nilpotent().FiniteDimensional().WithBasis()
            sage: L1.<X,Y,Z> = LieAlgebra(QQ, sc, category=C)
            sage: L2 = LieAlgebra(QQ, sc, nilpotent=True, names=['X','Y','Z'])
            sage: L1 is L2
            True
        """
        if not names:
            # extract names from structural coefficients
            names = []
            for (X, Y), d in s_coeff.items():
                if X not in names: names.append(X)
                if Y not in names: names.append(Y)
                for k in d:
                    if k not in names: names.append(k)

        from sage.structure.indexed_generators import standardize_names_index_set
        names, index_set = standardize_names_index_set(names, index_set)
        s_coeff = LieAlgebraWithStructureCoefficients._standardize_s_coeff(
            s_coeff, index_set)

        cat = LieAlgebras(R).FiniteDimensional().WithBasis().Nilpotent()
        category = cat.or_subcategory(category)

        return super(NilpotentLieAlgebra_dense, cls).__classcall__(
            cls, R, s_coeff, names, index_set, category=category, **kwds)
示例#3
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    def __init__(self, R, names, index_set, category, **kwds):
        """
        Initialize ``self``.

        EXAMPLES::

            sage: L = LieAlgebra(QQ, 3, 'x', abelian=True)
            sage: TestSuite(L).run()
        """
        cat = LieAlgebras(R).FiniteDimensional().WithBasis().Nilpotent()
        category = cat.or_subcategory(category)
        LieAlgebraWithStructureCoefficients.__init__(self, R, Family({}), names,
                                                     index_set, category, **kwds)
示例#4
0
    def __classcall_private__(cls,
                              R,
                              s_coeff,
                              names=None,
                              index_set=None,
                              category=None,
                              **kwds):
        """
        Normalize input to ensure a unique representation.

        EXAMPLES:

        If the variable order is specified, the order of structural
        coefficients does not matter::

            sage: from sage.algebras.lie_algebras.nilpotent_lie_algebra import NilpotentLieAlgebra_dense
            sage: L1.<x,y,z> = NilpotentLieAlgebra_dense(QQ, {('x','y'): {'z': 1}})
            sage: L2.<x,y,z> = NilpotentLieAlgebra_dense(QQ, {('y','x'): {'z': -1}})
            sage: L1 is L2
            True

        If the variables are implicitly defined by the structural coefficients,
        the ordering may be different and the Lie algebras will be considered
        different::

            sage: from sage.algebras.lie_algebras.nilpotent_lie_algebra import NilpotentLieAlgebra_dense
            sage: L1 = NilpotentLieAlgebra_dense(QQ, {('x','y'): {'z': 1}})
            sage: L2 = NilpotentLieAlgebra_dense(QQ, {('y','x'): {'z': -1}})
            sage: L1
            Nilpotent Lie algebra on 3 generators (x, y, z) over Rational Field
            sage: L2
            Nilpotent Lie algebra on 3 generators (y, x, z) over Rational Field
            sage: L1 is L2
            False

        Constructed using two different methods from :class:`LieAlgebra`
        yields the same Lie algebra::

            sage: sc = {('X','Y'): {'Z': 1}}
            sage: C = LieAlgebras(QQ).Nilpotent().FiniteDimensional().WithBasis()
            sage: L1.<X,Y,Z> = LieAlgebra(QQ, sc, category=C)
            sage: L2 = LieAlgebra(QQ, sc, nilpotent=True, names=['X','Y','Z'])
            sage: L1 is L2
            True
        """
        if not names:
            # extract names from structural coefficients
            names = []
            for (X, Y), d in s_coeff.items():
                if X not in names: names.append(X)
                if Y not in names: names.append(Y)
                for k in d:
                    if k not in names: names.append(k)

        from sage.structure.indexed_generators import standardize_names_index_set
        names, index_set = standardize_names_index_set(names, index_set)
        s_coeff = LieAlgebraWithStructureCoefficients._standardize_s_coeff(
            s_coeff, index_set)

        cat = LieAlgebras(R).FiniteDimensional().WithBasis().Nilpotent()
        category = cat.or_subcategory(category)

        return super(NilpotentLieAlgebra_dense,
                     cls).__classcall__(cls,
                                        R,
                                        s_coeff,
                                        names,
                                        index_set,
                                        category=category,
                                        **kwds)
示例#5
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def in_new_basis(L, basis, names, check=True, category=None):
    r"""
    Return an isomorphic copy of the Lie algebra in a different basis.

    INPUT:

    - ``L`` -- the Lie algebra
    - ``basis`` -- a list of elements of the Lie algebra
    - ``names`` -- a list of strings to use as names for the new basis
    - ``check`` -- (default:``True``) a boolean; if ``True``, verify
      that the list ``basis`` is indeed a basis of the Lie algebra
    - ``category`` -- (default:``None``) a subcategory of
      :class:`FiniteDimensionalLieAlgebrasWithBasis` to apply to the
      new Lie algebra.

    EXAMPLES:

    The method may be used to relabel the elements::

        sage: import sys, pathlib
        sage: sys.path.append(str(pathlib.Path().absolute()))
        sage: from lie_gradings.gradings.utilities import in_new_basis
        sage: L.<X,Y> = LieAlgebra(QQ, {('X','Y'): {'Y': 1}})
        sage: K.<A,B> = in_new_basis(L, [X, Y])
        sage: K[A,B]
        B

    The new Lie algebra inherits nilpotency::

        sage: L = lie_algebras.Heisenberg(QQ, 1)
        sage: X,Y,Z = L.basis()
        sage: L.category()
        Category of finite dimensional nilpotent lie algebras with basis over Rational Field
        sage: K.<A,B,C> = in_new_basis(L, [X + Y, Y - X, Z])
        sage: K[A,B]
        2*C
        sage: K[[A,B],A]
        0
        sage: K.is_nilpotent()
        True
        sage: K.category()
        Category of finite dimensional nilpotent lie algebras with basis over Rational Field

    Some properties such as being stratified may in general be lost when
    changing the basis, and are therefore not preserved::

        sage: L.<X,Y,Z> = LieAlgebra(QQ, 2, step=2)
        sage: L.category()
        Category of finite dimensional stratified lie algebras with basis over Rational Field
        sage: K.<A,B,C> = in_new_basis(L, [Z, X, Y])
        sage: K.category()
        Category of finite dimensional nilpotent lie algebras with basis over Rational Field

    If the property is known to be preserved, an extra category may
    be passed to the method::

        sage: C = L.category()
        sage: K.<A,B,C> = in_new_basis(L, [Z, X, Y], category=C)
        sage: K.category()
        Category of finite dimensional stratified lie algebras with basis over Rational Field
    """
    try:
        m = L.module()
    except AttributeError:
        m = FreeModule(L.base_ring(), L.dimension())
    sm = m.submodule_with_basis([X.to_vector() for X in basis])

    if check:
        # check that new basis is a basis
        A = matrix([X.to_vector() for X in basis])
        if not A.is_invertible():
            raise ValueError("%s is not a basis of the Lie algebra" % basis)

    # form dictionary of structure coefficients in the new basis
    sc = {}
    for (X, nX), (Y, nY) in combinations(zip(basis, names), 2):
        Z = X.bracket(Y)
        zvec = sm.coordinate_vector(Z.to_vector())
        sc[(nX, nY)] = {nW: c for nW, c in zip(names, zvec)}

    C = LieAlgebras(L.base_ring()).FiniteDimensional().WithBasis()
    C = C.or_subcategory(category)
    if L.is_nilpotent():
        C = C.Nilpotent()

    return LieAlgebra(L.base_ring(), sc, names=names, category=C)