Integral lattices¶
An integral lattice is a finitely generated free abelian group \(L \cong \ZZ^r\) equipped with a non-degenerate, symmetric bilinear form \(L \times L \colon \rightarrow \ZZ\).
Here, lattices have an ambient quadratic space \(\QQ^n\) and a distinguished basis.
EXAMPLES:
sage: M = Matrix(ZZ, [[0,1], [1,0]])
sage: IntegralLattice(M)
Lattice of degree 2 and rank 2 over Integer Ring
Standard basis
Inner product matrix:
[0 1]
[1 0]
A lattice can be defined by an inner product matrix of the ambient space and a basis:
sage: G = matrix.identity(3)
sage: basis = [[1,-1,0], [0,1,-1]]
sage: L = IntegralLattice(G, basis)
sage: L
Lattice of degree 3 and rank 2 over Integer Ring
Basis matrix:
[ 1 -1 0]
[ 0 1 -1]
Standard scalar product
sage: L.gram_matrix()
[ 2 -1]
[-1 2]
AUTHORS:
- Simon Brandhorst (2017-09): First created
- Paolo Menegatti (2018-03): Added IntegralLatticeDirectSum, IntegralLatticeGluing
-
class
sage.modules.free_quadratic_module_integer_symmetric.
FreeQuadraticModule_integer_symmetric
(ambient, basis, inner_product_matrix, check=True, already_echelonized=False)¶ Bases:
sage.modules.free_quadratic_module.FreeQuadraticModule_submodule_with_basis_pid
This class represents non-degenerate, integral, symmetric free quadratic \(\ZZ\)-modules.
INPUT:
ambient
– an ambient free quadratic modulebasis
– a list of elements of ambient or a matrixinner_product_matrix
– a symmetric matrix over the rationals
EXAMPLES:
sage: IntegralLattice("U",basis=[vector([1,1])]) Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [1 1] Inner product matrix: [0 1] [1 0]
-
automorphisms
(gens=None, is_finite=None)¶ Return the orthogonal group of this lattice as a matrix group.
The elements are isometries of the ambient vector space which preserve this lattice. They are represented by matrices with respect to the standard basis.
INPUT:
gens
– a list of matrices (default:None
)is_finite
– bool (default:None
) If set toTrue
, then the group is placed in the category of finite groups. Sage does not check this.
OUTPUT:
The matrix group generated by
gens
. Ifgens
is not specified, then generators of the full orthogonal group of this lattice are computed. They are continued as the identity on the orthogonal complement of the lattice in its ambient space. Currently, we can only compute the orthogonal group for positive definite lattices.EXAMPLES:
sage: A4 = IntegralLattice("A4") sage: Aut = A4.orthogonal_group() sage: Aut Group of isometries with 5 generators ( [-1 0 0 0] [0 0 0 1] [-1 -1 -1 0] [ 1 0 0 0] [ 1 0 0 0] [ 0 -1 0 0] [0 0 1 0] [ 0 0 0 -1] [-1 -1 -1 -1] [ 0 1 0 0] [ 0 0 -1 0] [0 1 0 0] [ 0 0 1 1] [ 0 0 0 1] [ 0 0 1 1] [ 0 0 0 -1], [1 0 0 0], [ 0 1 0 0], [ 0 0 1 0], [ 0 0 0 -1] )
The group acts from the right on the lattice and its discriminant group:
sage: x = A4.an_element() sage: g = Aut.an_element() sage: g [ 1 1 1 0] [ 0 0 -1 0] [ 0 0 1 1] [ 0 -1 -1 -1] sage: x*g (1, 1, 1, 0) sage: (x*g).parent()==A4 True sage: (g*x).parent() Vector space of dimension 4 over Rational Field sage: y = A4.discriminant_group().an_element() sage: y*g (1)
If the group is finite we can compute the usual things:
sage: Aut.order() 240 sage: conj = Aut.conjugacy_classes_representatives() sage: len(conj) 14 sage: Aut.structure_description() 'C2 x S5'
The lattice can live in a larger ambient space:
sage: A2 = IntegralLattice(matrix.identity(3),Matrix(ZZ,2,3,[1,-1,0,0,1,-1])) sage: A2.orthogonal_group() Group of isometries with 3 generators ( [-1/3 2/3 2/3] [ 2/3 2/3 -1/3] [1 0 0] [ 2/3 -1/3 2/3] [ 2/3 -1/3 2/3] [0 0 1] [ 2/3 2/3 -1/3], [-1/3 2/3 2/3], [0 1 0] )
It can be negative definite as well:
sage: A2m = IntegralLattice(-Matrix(ZZ,2,[2,1,1,2])) sage: G = A2m.orthogonal_group() sage: G.order() 12
If the lattice is indefinite, sage does not know how to compute generators. Can you teach it?:
sage: U = IntegralLattice(Matrix(ZZ,2,[0,1,1,0])) sage: U.orthogonal_group() Traceback (most recent call last): ... NotImplementedError: currently, we can only compute generators for orthogonal groups over definite lattices.
But we can define subgroups:
sage: S = IntegralLattice(Matrix(ZZ,2,[2, 3, 3, 2])) sage: f = Matrix(ZZ,2,[0,1,-1,3]) sage: S.orthogonal_group([f]) Group of isometries with 1 generator ( [ 0 1] [-1 3] )
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direct_sum
(M)¶ Return the direct sum of this lattice with
M
.INPUT:
M
– a module over \(\ZZ\)
EXAMPLES:
sage: A = IntegralLattice(1) sage: A.direct_sum(A) Lattice of degree 2 and rank 2 over Integer Ring Standard basis Standard scalar product
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discriminant_group
(s=0)¶ Return the discriminant group \(L^\vee / L\) of this lattice.
INPUT:
s
– an integer (default: 0)
OUTPUT:
The \(s\) primary part of the discriminant group. If \(s=0\), returns the whole discriminant group.
EXAMPLES:
sage: L = IntegralLattice(Matrix(ZZ,2,2,[2,1,1,-2])*2) sage: L.discriminant_group() Finite quadratic module over Integer Ring with invariants (2, 10) Gram matrix of the quadratic form with values in Q/2Z: [ 1 1/2] [1/2 9/5] sage: L.discriminant_group(2) Finite quadratic module over Integer Ring with invariants (2, 2) Gram matrix of the quadratic form with values in Q/2Z: [ 1 1/2] [1/2 1] sage: L.discriminant_group(5) Finite quadratic module over Integer Ring with invariants (5,) Gram matrix of the quadratic form with values in Q/2Z: [6/5]
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dual_lattice
()¶ Return the dual lattice as a
FreeQuadraticModule
Let \(L\) be a lattice. Its dual lattice is
\[L^\vee = \{x \in L \otimes \QQ : (x, l) \in \ZZ \; \forall l \in L \}.\]EXAMPLES:
sage: L = IntegralLattice("A2") sage: Ldual=L.dual_lattice() sage: Ldual Free module of degree 2 and rank 2 over Integer Ring Echelon basis matrix: [1/3 2/3] [ 0 1]
Since our lattices are always integral, a lattice is contained in its dual:
sage: L.is_submodule(Ldual) True
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genus
()¶ Return the genus of this lattice.
EXAMPLES:
sage: L = IntegralLattice("U") sage: L.genus() Genus of [0 1] [1 0] Signature: (1, 1) Genus symbol at 2: 1^2
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is_even
()¶ Return whether the diagonal entries of the Gram matrix are even.
EXAMPLES:
sage: G = Matrix(ZZ,2,2,[-1,1,1,2]) sage: L = IntegralLattice(G) sage: L.is_even() False sage: L = IntegralLattice("A2") sage: L.is_even() True
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is_primitive
(M)¶ Return whether
M
is a primitive submodule of this lattice.A \(\ZZ\)-submodule
M
of a \(\ZZ\)-moduleL
is called primitive if the quotientL/M
is torsion free.INPUT:
M
– a submodule of this lattice
EXAMPLES:
sage: U = IntegralLattice("U") sage: L1 = U.span([vector([1,1])]) sage: L2 = U.span([vector([1,-1])]) sage: U.is_primitive(L1) True sage: U.is_primitive(L2) True sage: U.is_primitive(L1+L2) False
We can also compute the index:
sage: (L1+L2).index_in(U) 2
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orthogonal_complement
(M)¶ Return the orthogonal complement of
M
in this lattice.INPUT:
M
– a module in the same ambient space or a list of elements of the ambient space
EXAMPLES:
sage: H5 = Matrix(ZZ,2,[2,1,1,-2]) sage: L = IntegralLattice(H5) sage: S = L.span([vector([1,1])]) sage: L.orthogonal_complement(S) Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [1 3] Inner product matrix: [ 2 1] [ 1 -2] sage: L = IntegralLattice(2) sage: L.orthogonal_complement([vector(ZZ,[1,0])]) Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [0 1] Standard scalar product
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orthogonal_group
(gens=None, is_finite=None)¶ Return the orthogonal group of this lattice as a matrix group.
The elements are isometries of the ambient vector space which preserve this lattice. They are represented by matrices with respect to the standard basis.
INPUT:
gens
– a list of matrices (default:None
)is_finite
– bool (default:None
) If set toTrue
, then the group is placed in the category of finite groups. Sage does not check this.
OUTPUT:
The matrix group generated by
gens
. Ifgens
is not specified, then generators of the full orthogonal group of this lattice are computed. They are continued as the identity on the orthogonal complement of the lattice in its ambient space. Currently, we can only compute the orthogonal group for positive definite lattices.EXAMPLES:
sage: A4 = IntegralLattice("A4") sage: Aut = A4.orthogonal_group() sage: Aut Group of isometries with 5 generators ( [-1 0 0 0] [0 0 0 1] [-1 -1 -1 0] [ 1 0 0 0] [ 1 0 0 0] [ 0 -1 0 0] [0 0 1 0] [ 0 0 0 -1] [-1 -1 -1 -1] [ 0 1 0 0] [ 0 0 -1 0] [0 1 0 0] [ 0 0 1 1] [ 0 0 0 1] [ 0 0 1 1] [ 0 0 0 -1], [1 0 0 0], [ 0 1 0 0], [ 0 0 1 0], [ 0 0 0 -1] )
The group acts from the right on the lattice and its discriminant group:
sage: x = A4.an_element() sage: g = Aut.an_element() sage: g [ 1 1 1 0] [ 0 0 -1 0] [ 0 0 1 1] [ 0 -1 -1 -1] sage: x*g (1, 1, 1, 0) sage: (x*g).parent()==A4 True sage: (g*x).parent() Vector space of dimension 4 over Rational Field sage: y = A4.discriminant_group().an_element() sage: y*g (1)
If the group is finite we can compute the usual things:
sage: Aut.order() 240 sage: conj = Aut.conjugacy_classes_representatives() sage: len(conj) 14 sage: Aut.structure_description() 'C2 x S5'
The lattice can live in a larger ambient space:
sage: A2 = IntegralLattice(matrix.identity(3),Matrix(ZZ,2,3,[1,-1,0,0,1,-1])) sage: A2.orthogonal_group() Group of isometries with 3 generators ( [-1/3 2/3 2/3] [ 2/3 2/3 -1/3] [1 0 0] [ 2/3 -1/3 2/3] [ 2/3 -1/3 2/3] [0 0 1] [ 2/3 2/3 -1/3], [-1/3 2/3 2/3], [0 1 0] )
It can be negative definite as well:
sage: A2m = IntegralLattice(-Matrix(ZZ,2,[2,1,1,2])) sage: G = A2m.orthogonal_group() sage: G.order() 12
If the lattice is indefinite, sage does not know how to compute generators. Can you teach it?:
sage: U = IntegralLattice(Matrix(ZZ,2,[0,1,1,0])) sage: U.orthogonal_group() Traceback (most recent call last): ... NotImplementedError: currently, we can only compute generators for orthogonal groups over definite lattices.
But we can define subgroups:
sage: S = IntegralLattice(Matrix(ZZ,2,[2, 3, 3, 2])) sage: f = Matrix(ZZ,2,[0,1,-1,3]) sage: S.orthogonal_group([f]) Group of isometries with 1 generator ( [ 0 1] [-1 3] )
-
overlattice
(gens)¶ Return the lattice spanned by this lattice and
gens
.INPUT:
gens
– a list of elements or a rational matrix
EXAMPLES:
sage: L = IntegralLattice(Matrix(ZZ,2,2,[2,0,0,2])) sage: M = L.overlattice([vector([1,1])/2]) sage: M.gram_matrix() [1 1] [1 2]
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signature
()¶ Return the signature of this lattice, which is defined as the difference between the number of positive eigenvalues and the number of negative eigenvalues in the Gram matrix.
EXAMPLES:
sage: U = IntegralLattice("U") sage: U.signature() 0
-
signature_pair
()¶ Return the signature tuple \((n_+,n_-)\) of this lattice.
Here \(n_+\) (resp. \(n_-\)) is the number of positive (resp. negative) eigenvalues of the Gram matrix.
EXAMPLES:
sage: A2 = IntegralLattice("A2") sage: A2.signature_pair() (2, 0)
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sublattice
(basis)¶ Return the sublattice spanned by
basis
.INPUT:
basis
– A list of elements of this lattice.
EXAMPLES:
sage: U = IntegralLattice("U") sage: S = U.sublattice([vector([1,1])]) sage: S Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [1 1] Inner product matrix: [0 1] [1 0] sage: U.sublattice([vector([1,-1])/2]) Traceback (most recent call last): ... ValueError: lattices must be integral; use FreeQuadraticModule instead sage: S.sublattice([vector([1,-1])]) Traceback (most recent call last): ... ValueError: the basis (= [(1, -1)]) does not span a submodule
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tensor_product
(other, discard_basis=False)¶ Return the tensor product of
self
andother
.INPUT:
other
– an integral latticediscard_basis
– a boolean (default:False
). IfTrue
, then the lattice- returned is equipped with the standard basis.
EXAMPLES:
sage: L = IntegralLattice("D3", [[1,-1,0], [0,1,-1]]) sage: L1 = L.tensor_product(L) sage: L2 = L.tensor_product(L, True) sage: L1 Lattice of degree 9 and rank 4 over Integer Ring Basis matrix: [ 1 -1 0 -1 1 0 0 0 0] [ 0 1 -1 0 -1 1 0 0 0] [ 0 0 0 1 -1 0 -1 1 0] [ 0 0 0 0 1 -1 0 -1 1] Inner product matrix: [ 4 -2 -2 -2 1 1 -2 1 1] [-2 4 0 1 -2 0 1 -2 0] [-2 0 4 1 0 -2 1 0 -2] [-2 1 1 4 -2 -2 0 0 0] [ 1 -2 0 -2 4 0 0 0 0] [ 1 0 -2 -2 0 4 0 0 0] [-2 1 1 0 0 0 4 -2 -2] [ 1 -2 0 0 0 0 -2 4 0] [ 1 0 -2 0 0 0 -2 0 4] sage: L1.gram_matrix() [ 36 -12 -12 4] [-12 24 4 -8] [-12 4 24 -8] [ 4 -8 -8 16] sage: L2 Lattice of degree 4 and rank 4 over Integer Ring Standard basis Inner product matrix: [ 36 -12 -12 4] [-12 24 4 -8] [-12 4 24 -8] [ 4 -8 -8 16]
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twist
(s, discard_basis=False)¶ Return the lattice with inner product matrix scaled by
s
.INPUT:
s
– a nonzero integerdiscard_basis
– a boolean (default:False
). IfTrue
, then the lattice returned is equipped with the standard basis.
EXAMPLES:
sage: L = IntegralLattice("A4") sage: L.twist(3) Lattice of degree 4 and rank 4 over Integer Ring Standard basis Inner product matrix: [ 6 -3 0 0] [-3 6 -3 0] [ 0 -3 6 -3] [ 0 0 -3 6] sage: L = IntegralLattice(3,[[2,1,0],[0,1,1]]) sage: L Lattice of degree 3 and rank 2 over Integer Ring Basis matrix: [2 1 0] [0 1 1] Standard scalar product sage: L.twist(1) Lattice of degree 3 and rank 2 over Integer Ring Basis matrix: [2 1 0] [0 1 1] Standard scalar product sage: L.twist(1, True) Lattice of degree 2 and rank 2 over Integer Ring Standard basis Inner product matrix: [5 1] [1 2]
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sage.modules.free_quadratic_module_integer_symmetric.
IntegralLattice
(data, basis=None)¶ Return the integral lattice spanned by
basis
in the ambient space.A lattice is a finitely generated free abelian group \(L \cong \ZZ^r\) equipped with a non-degenerate, symmetric bilinear form \(L \times L \colon \rightarrow \ZZ\). Here, lattices have an ambient quadratic space \(\QQ^n\) and a distinguished basis.
INPUT:
The input is a descriptor of the lattice and a (optional) basis. -
data
– can be one of the following:- a symmetric matrix over the rationals – the inner product matrix
- an integer – the dimension for an Euclidean lattice
- a symmetric Cartan type or anything recognized by
CartanMatrix
(see alsoCartan types
) – for a root lattice - the string
"U"
or"H"
– for hyperbolic lattices
basis
– (optional) a matrix whose rows form a basis of the lattice, or a list of module elements forming a basis
OUTPUT:
A lattice in the ambient space defined by the inner_product_matrix. Unless specified, the basis of the lattice is the standard basis.
EXAMPLES:
sage: H5 = Matrix(ZZ, 2, [2,1,1,-2]) sage: IntegralLattice(H5) Lattice of degree 2 and rank 2 over Integer Ring Standard basis Inner product matrix: [ 2 1] [ 1 -2]
A basis can be specified too:
sage: IntegralLattice(H5, Matrix([1,1])) Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [1 1] Inner product matrix: [ 2 1] [ 1 -2]
We can define an Euclidean lattice just by its dimension:
sage: IntegralLattice(3) Lattice of degree 3 and rank 3 over Integer Ring Standard basis Standard scalar product
Here is an example of the \(A_2\) root lattice in Euclidean space:
sage: basis = Matrix([[1,-1,0], [0,1,-1]]) sage: A2 = IntegralLattice(3, basis) sage: A2 Lattice of degree 3 and rank 2 over Integer Ring Basis matrix: [ 1 -1 0] [ 0 1 -1] Standard scalar product sage: A2.gram_matrix() [ 2 -1] [-1 2]
We use
"U"
or"H"
for defining a hyperbolic lattice:sage: L1 = IntegralLattice("U") sage: L1 Lattice of degree 2 and rank 2 over Integer Ring Standard basis Inner product matrix: [0 1] [1 0] sage: L1 == IntegralLattice("H") True
We can construct root lattices by specifying their type (see
Cartan types
andCartanMatrix
):sage: IntegralLattice(["E", 7]) Lattice of degree 7 and rank 7 over Integer Ring Standard basis Inner product matrix: [ 2 0 -1 0 0 0 0] [ 0 2 0 -1 0 0 0] [-1 0 2 -1 0 0 0] [ 0 -1 -1 2 -1 0 0] [ 0 0 0 -1 2 -1 0] [ 0 0 0 0 -1 2 -1] [ 0 0 0 0 0 -1 2] sage: IntegralLattice(["A", 2]) Lattice of degree 2 and rank 2 over Integer Ring Standard basis Inner product matrix: [ 2 -1] [-1 2] sage: IntegralLattice("D3") Lattice of degree 3 and rank 3 over Integer Ring Standard basis Inner product matrix: [ 2 -1 -1] [-1 2 0] [-1 0 2] sage: IntegralLattice(["D", 4]) Lattice of degree 4 and rank 4 over Integer Ring Standard basis Inner product matrix: [ 2 -1 0 0] [-1 2 -1 -1] [ 0 -1 2 0] [ 0 -1 0 2]
We can specify a basis as well:
sage: G = Matrix(ZZ, 2, [0,1,1,0]) sage: B = [vector([1,1])] sage: IntegralLattice(G, basis=B) Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [1 1] Inner product matrix: [0 1] [1 0] sage: IntegralLattice(["A", 3], [[1,1,1]]) Lattice of degree 3 and rank 1 over Integer Ring Basis matrix: [1 1 1] Inner product matrix: [ 2 -1 0] [-1 2 -1] [ 0 -1 2] sage: IntegralLattice(4, [[1,1,1,1]]) Lattice of degree 4 and rank 1 over Integer Ring Basis matrix: [1 1 1 1] Standard scalar product sage: IntegralLattice("A2", [[1,1]]) Lattice of degree 2 and rank 1 over Integer Ring Basis matrix: [1 1] Inner product matrix: [ 2 -1] [-1 2]
-
sage.modules.free_quadratic_module_integer_symmetric.
IntegralLatticeDirectSum
(Lattices, return_embeddings=False)¶ Return the direct sum of the lattices contained in the list
Lattices
.INPUT:
Lattices
– a list of lattices[L_1,...,L_n]
return_embeddings
– (default:False
) a boolean
OUTPUT:
The direct sum of the \(L_i\) if
return_embeddings
isFalse
or the tuple[L, phi]
where \(L\) is the direct sum of \(L_i\) andphi
is the list of embeddings from \(L_i\) to \(L\).EXAMPLES:
sage: from sage.modules.free_quadratic_module_integer_symmetric import IntegralLatticeDirectSum sage: L1 = IntegralLattice("D4") sage: L2 = IntegralLattice("A3", [[1, 1, 2]]) sage: L3 = IntegralLattice("A4", [[0, 1, 1, 2], [1, 2, 3, 1]]) sage: Lattices = [L1, L2, L3] sage: IntegralLatticeDirectSum([L1, L2, L3]) Lattice of degree 11 and rank 7 over Integer Ring Basis matrix: [1 0 0 0 0 0 0 0 0 0 0] [0 1 0 0 0 0 0 0 0 0 0] [0 0 1 0 0 0 0 0 0 0 0] [0 0 0 1 0 0 0 0 0 0 0] [0 0 0 0 1 1 2 0 0 0 0] [0 0 0 0 0 0 0 0 1 1 2] [0 0 0 0 0 0 0 1 2 3 1] Inner product matrix: [ 2 -1 0 0 0 0 0 0 0 0 0] [-1 2 -1 -1 0 0 0 0 0 0 0] [ 0 -1 2 0 0 0 0 0 0 0 0] [ 0 -1 0 2 0 0 0 0 0 0 0] [ 0 0 0 0 2 -1 0 0 0 0 0] [ 0 0 0 0 -1 2 -1 0 0 0 0] [ 0 0 0 0 0 -1 2 0 0 0 0] [ 0 0 0 0 0 0 0 2 -1 0 0] [ 0 0 0 0 0 0 0 -1 2 -1 0] [ 0 0 0 0 0 0 0 0 -1 2 -1] [ 0 0 0 0 0 0 0 0 0 -1 2] sage: [L, phi] = IntegralLatticeDirectSum([L1, L2, L3], True) sage: LL3 = L.sublattice(phi[2].image().basis_matrix()) sage: L3.discriminant() == LL3.discriminant() True sage: x = L3([1, 2, 3, 1]) sage: phi[2](x).inner_product(phi[2](x)) == x.inner_product(x) True
-
sage.modules.free_quadratic_module_integer_symmetric.
IntegralLatticeGluing
(Lattices, glue, return_embeddings=False)¶ Return an overlattice of the direct sum as defined by
glue
.INPUT:
Lattices
– a list of lattices \([L_1,...,L_n]\)glue
– a list where the elements are lists in the form \([g_1,...,g_n]\); here \(g_i\) is an element of the discriminant group of \(L_i\)return_embeddings
– (default:False
) a boolean
OUTPUT:
The glued lattice given by \(L_i\) and
glue
ifreturn_embeddings
isFalse
or the tuple[L, phi]
where \(L\) is the glued lattice andphi
the list of embeddings from \(L_i\) to \(L\)EXAMPLES:
A single lattice can be glued. This is the same as taking an overlattice:
sage: from sage.modules.free_quadratic_module_integer_symmetric import IntegralLatticeGluing sage: L1 = IntegralLattice(matrix([[4]])) sage: g1 = L1.discriminant_group().gens()[0] sage: glue = [[2 * g1]] sage: L = IntegralLatticeGluing([L1], glue) sage: L Lattice of degree 1 and rank 1 over Integer Ring Basis matrix: [1/2] Inner product matrix: [4] sage: L.gram_matrix() [1] sage: IntegralLatticeGluing([L1], glue, return_embeddings=True) [Lattice of degree 1 and rank 1 over Integer Ring Basis matrix: [1/2] Inner product matrix: [4], [Free module morphism defined by the matrix [2] Domain: Lattice of degree 1 and rank 1 over Integer Ring Standard basis Inner product matrix: [4] Codomain: Lattice of degree 1 and rank 1 over Integer Ring Basis matrix: [1/2] Inner product matrix: [4]]] sage: L1 = IntegralLattice([[2]]) sage: L2 = IntegralLattice([[2]]) sage: AL1 = L1.discriminant_group() sage: AL2 = L2.discriminant_group() sage: AL1 Finite quadratic module over Integer Ring with invariants (2,) Gram matrix of the quadratic form with values in Q/2Z: [1/2] sage: g1 = L1.discriminant_group().gens()[0] sage: g2 = L2.discriminant_group().gens()[0] sage: glue = [[g1, g2]] sage: IntegralLatticeGluing([L1, L2], glue) Lattice of degree 2 and rank 2 over Integer Ring Basis matrix: [1/2 1/2] [ 0 1] Inner product matrix: [2 0] [0 2] sage: L1 = IntegralLattice("A4") sage: L2 = IntegralLattice("A4") sage: g1 = L1.discriminant_group().gens()[0] sage: g2 = L2.discriminant_group().gens()[0] sage: glue = [[g1, 2 * g2]] sage: [V, phi] = IntegralLatticeGluing([L1, L2], glue, True) sage: V Lattice of degree 8 and rank 8 over Integer Ring Basis matrix: [1/5 2/5 3/5 4/5 2/5 4/5 1/5 3/5] [ 0 1 0 0 0 0 0 0] [ 0 0 1 0 0 0 0 0] [ 0 0 0 1 0 0 0 0] [ 0 0 0 0 1 0 0 0] [ 0 0 0 0 0 1 0 0] [ 0 0 0 0 0 0 1 0] [ 0 0 0 0 0 0 0 1] Inner product matrix: [ 2 -1 0 0 0 0 0 0] [-1 2 -1 0 0 0 0 0] [ 0 -1 2 -1 0 0 0 0] [ 0 0 -1 2 0 0 0 0] [ 0 0 0 0 2 -1 0 0] [ 0 0 0 0 -1 2 -1 0] [ 0 0 0 0 0 -1 2 -1] [ 0 0 0 0 0 0 -1 2] sage: V.sublattice(phi[0].image().basis_matrix()) Lattice of degree 8 and rank 4 over Integer Ring Basis matrix: [1 0 0 0 0 0 0 0] [0 1 0 0 0 0 0 0] [0 0 1 0 0 0 0 0] [0 0 0 1 0 0 0 0] Inner product matrix: [ 2 -1 0 0 0 0 0 0] [-1 2 -1 0 0 0 0 0] [ 0 -1 2 -1 0 0 0 0] [ 0 0 -1 2 0 0 0 0] [ 0 0 0 0 2 -1 0 0] [ 0 0 0 0 -1 2 -1 0] [ 0 0 0 0 0 -1 2 -1] [ 0 0 0 0 0 0 -1 2]
Different gluings can be composed:
sage: D4 = IntegralLattice("D4") sage: D4.discriminant_group() Finite quadratic module over Integer Ring with invariants (2, 2) Gram matrix of the quadratic form with values in Q/2Z: [ 1 1/2] [1/2 1] sage: L2 = IntegralLattice(2 * matrix.identity(2)) sage: L2.discriminant_group() Finite quadratic module over Integer Ring with invariants (2, 2) Gram matrix of the quadratic form with values in Q/2Z: [1/2 0] [ 0 1/2] sage: g1 = D4.discriminant_group().gens()[0] sage: g2 = L2.discriminant_group().gens()[0] + L2.discriminant_group().gens()[1] sage: D6, phi = IntegralLatticeGluing([D4, L2], [[g1, g2]], True) sage: AD6 = D6.discriminant_group() sage: AD6.normal_form() Finite quadratic module over Integer Ring with invariants (2, 2) Gram matrix of the quadratic form with values in Q/2Z: [3/2 0] [ 0 3/2] sage: f1, g1 = AD6.normal_form().gens() sage: f2, g2 = L2.discriminant_group().gens() sage: E8, psi = IntegralLatticeGluing([D6, L2], [[f1, f2], [g1, g2]], True) sage: D4embed = E8.sublattice(psi[0](phi[0].image()).basis_matrix()) sage: x = D4([1, 0, 0, 0]) sage: psi[0](phi[0](x)).inner_product(psi[0](phi[0](x)))==x.inner_product(x) True sage: D4embed Lattice of degree 8 and rank 4 over Integer Ring Basis matrix: [1 0 0 0 0 0 0 0] [0 1 0 0 0 0 0 0] [0 0 1 0 0 0 0 0] [0 0 0 1 0 0 0 0] Inner product matrix: [ 2 -1 0 0 0 0 0 0] [-1 2 -1 -1 0 0 0 0] [ 0 -1 2 0 0 0 0 0] [ 0 -1 0 2 0 0 0 0] [ 0 0 0 0 2 0 0 0] [ 0 0 0 0 0 2 0 0] [ 0 0 0 0 0 0 2 0] [ 0 0 0 0 0 0 0 2]
The input may be a list of three or more lattices:
sage: A7 = IntegralLattice("A7") sage: D5 = IntegralLattice("D5") sage: gA7 = A7.discriminant_group().gens()[0] sage: gD5 = D5.discriminant_group().gens()[0] sage: [L, phi] = IntegralLatticeGluing([A7, A7, D5, D5], ....: [[gA7, gA7, gD5, 2 * gD5], ....: [gA7, 7 * gA7, 2 * gD5, gD5]], True) sage: L.determinant() 1 sage: B = phi[0].matrix() sage: B*L.gram_matrix()*B.transpose()==A7.gram_matrix() True
The gluing takes place in the direct sum of the respective ambient spaces:
sage: L1 = IntegralLattice("D4", [[1, 1, 0, 0], [0, 1, 1, 0]]) sage: L2 = IntegralLattice("E6", [[0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1]]) sage: [f1, f2] = L1.discriminant_group().gens() sage: [g1, g2] = L2.discriminant_group().gens() sage: [L, phi] = IntegralLatticeGluing([L1, L2], [[f1, g1], [f2, 2 * g2]], True) sage: phi[0] Free module morphism defined by the matrix [ 2 2 -1 -2] [ 0 2 0 -1] Domain: Lattice of degree 4 and rank 2 over Integer Ring Basis matrix: [1 1 0 0] [0 1 1 0] Inner product matrix: [ 2 -1 0 0] [-1 2 -1 -1] [ 0 -1 2 0] [ 0 -1 0 2] Codomain: Lattice of degree 10 and rank 4 over Integer Ring Basis matrix: [ 1/2 0 -1/2 0 0 1/2 0 0 1/2 1/2] [ 0 1/2 1/2 0 0 0 0 0 1/2 1/2] [ 0 0 0 0 0 1 0 0 0 0] [ 0 0 0 0 0 0 0 0 1 1] Inner product matrix: [ 2 -1 0 0 0 0 0 0 0 0] [-1 2 -1 -1 0 0 0 0 0 0] [ 0 -1 2 0 0 0 0 0 0 0] [ 0 -1 0 2 0 0 0 0 0 0] [ 0 0 0 0 2 0 -1 0 0 0] [ 0 0 0 0 0 2 0 -1 0 0] [ 0 0 0 0 -1 0 2 -1 0 0] [ 0 0 0 0 0 -1 -1 2 -1 0] [ 0 0 0 0 0 0 0 -1 2 -1] [ 0 0 0 0 0 0 0 0 -1 2] sage: B = phi[0].matrix() sage: B * L.gram_matrix() * B.transpose()==L1.gram_matrix() True