Properties of GKM graphs
These are some of the main properties of GKM graphs.
General Properties
The following properties make sense for any abstract GKM graph.
GKMtools.valency — Function
valency(G::AbstractGKM_graph) -> Int64Return the valency of G, i.e. the number of flags at each vertex.
This function does not check if G is a valid GKM graph (use isvalid to check this). In particular, it does not check if every vertex has the same degree. The returned value is the degree of vertex 1.
Example:
The valency of the GKM graph of $\mathbb{P}^3$ is 3, since all of the fixed points $[1:0:0:0], \dots, [0:0:0:1]$ are connected to each other via some $T$-invariant $\mathbb{P}^1$'s. For example, $[1:0:0:0]$ and $[0:1:0:0]$ are connected by $\{[x:y:0:0] : x,y\in\mathbb{C}\}$.
julia> valency(projective_space(GKM_graph, 3))
3
julia> valency(grassmannian(GKM_graph, 2, 4)) # The Grassmannian of 2-planes in C^4
4
julia> valency(flag_variety(GKM_graph, [1, 1, 1, 1])) # The variety of full flags in C^4
6GKMtools.rank_torus — Function
rank_torus(G::AbstractGKM_graph) -> Int64Return the rank of the torus acting on G. That is, the rank of the character group.
Examples
By default, the torus acting on $\mathbb{P}^n$ is $(\mathbb{C}^\times)^{n+1}$, acting by rescaling the homogeneous coordinates.
julia> P3 = projective_space(GKM_graph, 3);
julia> rank_torus(P3)
4Taking products adds the rank:
julia> H6 = gkm_graph_of_toric(hirzebruch_surface(NormalToricVariety, 6));
julia> rank_torus(H6)
4
julia> rank_torus(H6 * P3)
8GKMtools.is_compact — Function
is_compact(G::AbstractGKM_graph) -> BoolReturn true if G is compact, i.e. all flags at all vertices are associated with edges (no standalone flags).
Example
julia> G = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> is_compact(G)
true
julia> M = G.M;
julia> add_standalone_flag!(G, 1, gens(M)[1]);
julia> add_standalone_flag!(G, 2, gens(M)[2]);
julia> add_standalone_flag!(G, 3, gens(M)[3]);
julia> is_compact(G)
falseGKMtools.is2_indep — Function
is2_indep(G::AbstractGKM_graph) -> BoolReturn true if G is 2-independent, i.e. the weights of every two flags at a vertex are linearly independent.
GKMtools.is3_indep — Function
is3_indep(G::AbstractGKM_graph) -> BoolReturn true if G is 3-independent, i.e. the weights of every three flags at a vertex are linearly independent.
Example
The weights of $\mathbb{P}^3$ at the fixed point $[1:0:0:0]$ are $\{t_i-t_0:i\in\{1, 2, 3\}\}$, which are linearly independent over $\mathbb{C}$.
julia> is3_indep(projective_space(GKM_graph, 3))
trueThe variety of complete flags in $\mathbb{C}^3$ is an example of a GKM graph that is not 3-independent:
julia> G = flag_variety(GKM_graph, [1, 1, 1])
GKM graph with 6 nodes, valency 3 and axial function:
13 -> 12 => (0, -1, 1)
21 -> 12 => (-1, 1, 0)
23 -> 13 => (-1, 1, 0)
23 -> 21 => (-1, 0, 1)
31 -> 13 => (-1, 0, 1)
31 -> 21 => (0, -1, 1)
32 -> 12 => (-1, 0, 1)
32 -> 23 => (0, -1, 1)
32 -> 31 => (-1, 1, 0)
julia> is3_indep(G)
falseSymplectic / almost complex properties
The following properties are well-defined as soon as there is a well-defined first Chern class. This holds for GKM graphs coming from $T$-compatibly almost complex manifolds and from $T$-compatibly symplectic manifolds. In the latter case, all choices of almost complex structures compatible with the symplectic form yield the same first Chern class, making the properties below intrinsic to the symplectic structure.
GKMtools.fano_index — Function
fano_index(G::AbstractGKM_graph) -> ZZRingElemReturn the Fano index of the GKM graph, which is the gcd of the first Chern numbers of all its edges.
Examples
julia> P2 = projective_space(GKM_graph, 2);
julia> fano_index(P2)
3
julia> F3 = flag_variety(GKM_graph, [1, 1, 1]);
julia> fano_index(F3)
2GKMtools.pseudo_index — Function
pseudo_index(G::AbstractGKM_graph) -> ZZRingElemReturn the pseudo index of the GKM graph, which is the minimum of the first Chern numbers of all its edges.
Examples
The examples below show that the pseudo-index differs from the Fano index in general.
julia> P2 = projective_space(GKM_graph, 2);
julia> fano_index(P2), pseudo_index(P2)
(3, 3)
julia> P3 = projective_space(GKM_graph, 3);
julia> fano_index(P3), pseudo_index(P3)
(4, 4)
julia> G = P2 * P3;
julia> fano_index(G), pseudo_index(G)
(1, 3)
julia> T = gkm_3d_twisted_flag();
julia> fano_index(T), pseudo_index(T)
(2, 0)GKMtools.is_strictly_nef — Function
is_strictly_nef(G::AbstractGKM_graph) -> BoolReturn true if and only if the Chern numbers of all curve classes corresponding to edges of the GKM graph are strictly positive.
Examples
julia> F3 = flag_variety(GKM_graph, [1,1,1]);
julia> print_curve_classes(F3)
13 -> 12: (0, 1), Chern number: 2
21 -> 12: (1, 0), Chern number: 2
23 -> 13: (1, 1), Chern number: 4
23 -> 21: (0, 1), Chern number: 2
31 -> 13: (1, 0), Chern number: 2
31 -> 21: (1, 1), Chern number: 4
32 -> 12: (1, 1), Chern number: 4
32 -> 23: (1, 0), Chern number: 2
32 -> 31: (0, 1), Chern number: 2
julia> is_strictly_nef(F3)
true
julia> H5 = gkm_graph_of_toric(hirzebruch_surface(NormalToricVariety, 5))
GKM graph with 4 nodes, valency 2 and axial function:
2 -> 1 => (1, 0, -1, 0)
3 -> 2 => (5, 1, 0, -1)
4 -> 1 => (0, 1, 5, -1)
4 -> 3 => (-1, 0, 1, 0)
julia> print_curve_classes(H5)
2 -> 1: (-5, 1), Chern number: -3
3 -> 2: (1, 0), Chern number: 2
4 -> 1: (1, 0), Chern number: 2
4 -> 3: (0, 1), Chern number: 7
julia> is_strictly_nef(H5)
falseCompact Hamiltonian properties
The following properties have natural geometric meaning for GKM graphs of compact Hamiltonian GKM spaces. That being said, they can be defined and checked for any abstract GKM graph, although one needs to be careful about their geometric interpretation outside of the Hamiltonian setting.
Oscar.betti_numbers — Function
betti_numbers(G::AbstractGKM_graph) -> Vector{Int64}Return the array betti_numbers such that betti_numbers[i+1] is the 2i-th combinatorial Betti number for i from 0 to the valency of G, as defined in [GZ01, section 1.3].
iranges from 0 to the valency ofG, that can be obtained byvalency(G).- From [GZ01, Theorem 1.3.2], the combinatorial Betti numbers equal the Betti numbers of the underlying GKM space if the torus action is Hamiltonian. This holds automatically for smooth projective varieties with algebraic torus action (cf. [MFK94, Example 8.1 (ii)]).
betti_numbers[1]is the 0-th Betti number, since Julia arrays are 1-based and not 0-based.- Currently only implemented for compact GKM spaces.
Examples
julia> H6 = gkm_graph_of_toric(hirzebruch_surface(NormalToricVariety, 6));
julia> betti_numbers(H6)
3-element Vector{Int64}:
1
2
1GKMtools.index_periodic_betti — Function
index_periodic_betti(G::AbstractGKM_graph) -> Vector{Int64}Return the index-periodic Betti numbers of a compact GKM graph.
For a GKM graph with Fano index $p$, this function computes the sums of Betti numbers grouped by their residue class modulo $p$. Specifically, the $i$-th entry (for $i$ from $1$ to $p$) contains the sum of all Betti numbers $b_j$ where $j \equiv i$ (mod $p$).
This is as defined in [BGL+25, before Theorem 2.2].
- The returned vector has length equal to the Fano index $p$.
- Entry i corresponds to the sum of Betti numbers with index congruent $i$ (mod $p$).
- Requires the GKM graph to be compact.
Examples
julia> P2 = projective_space(GKM_graph, 2);
julia> index_periodic_betti(P2)
3-element Vector{Int64}:
1
1
1GKMtools.QH_ss_check_GLLXBR — Function
QH_ss_check_GLLXBR(G::AbstractGKM_graph)::BoolReturn true if $G$ satisfies conditions (1) and (2) in [BGL+25, Theorem 2.2].
Index properties
GKMtools.is_generic — Function
is_generic(G::AbstractGKM_graph, xi) -> BoolReturn true if xi is a generic element of the weight lattice G.M, i.e. the Euclidean pairing of xi with every flag weight of G is nonzero.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> g1, g2, g3 = gens(P2.M);
julia> is_generic(P2, g1)
false
julia> is_generic(P2, g1 + g2)
false
julia> is_generic(P2, g1 + 2*g2 + 4*g3)
true
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> h1, h2, h3 = gens(P2_Q.M);
julia> is_generic(P2_Q, h1 + 2*h2 + 4*h3)
trueGKMtools.xi_index — Function
xi_index(G::AbstractGKM_graph, xi, v::Int64) -> Int64Return the xi-index of vertex v of G, i.e. the number of flags at v whose weight pairs negatively with xi. Requires xi to be generic at v.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> g1, g2, g3 = gens(P2.M);
julia> xi = g1 + 2*g2 + 4*g3;
julia> [xi_index(P2, xi, v) for v in 1:3]
3-element Vector{Int64}:
2
1
0
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> h1, h2, h3 = gens(P2_Q.M);
julia> [xi_index(P2_Q, h1 + 2*h2 + 4*h3, v) for v in 1:3]
3-element Vector{Int64}:
2
1
0GKMtools.is_index_increasing — Function
is_index_increasing(G::AbstractGKM_graph, xi) -> BoolReturn true if xi is generic and index increasing on G. For each edge e = {v, w}, orient it as (v, w) so that the weight of Edge(v, w) pairs positively with xi; then require the xi-index at w to be strictly greater than the xi-index at v.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> g1, g2, g3 = gens(P2.M);
julia> is_index_increasing(P2, g1 + 2*g2 + 4*g3)
true
julia> is_index_increasing(P2, g1)
false
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> h1, h2, h3 = gens(P2_Q.M);
julia> is_index_increasing(P2_Q, h1 + 2*h2 + 4*h3)
trueGKMtools.is_weakly_index_increasing — Function
is_weakly_index_increasing(G::AbstractGKM_graph, xi) -> BoolReturn true if xi is generic and weakly index increasing on G. For each edge e = {v, w}, orient it as (v, w) so that the weight of Edge(v, w) pairs positively with xi; then require the xi-index at w to be greater than or equal to the xi-index at v.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> g1, g2, g3 = gens(P2.M);
julia> is_weakly_index_increasing(P2, g1 + 2*g2 + 4*g3)
true
julia> is_weakly_index_increasing(P2, g1)
false
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> h1, h2, h3 = gens(P2_Q.M);
julia> is_weakly_index_increasing(P2_Q, h1 + 2*h2 + 4*h3)
trueGKMtools.generic_xi_representatives — Function
generic_xi_representatives(G::AbstractGKM_graph) -> VectorReturn one representative per connected component of the set of generic directions xi in the weight lattice of G. Each representative lives in G.M (as a primitive element of the lattice if G.M is a free ZZ-module).
The components of the generic locus are the open chambers of the hyperplane arrangement cut out by the flag weights of G, viewed in G.M tensored with QQ.
Example
On P^1 there is a single hyperplane so two chambers:
julia> P1 = projective_space(GKM_graph, 1)
GKM graph with 2 nodes, valency 1 and axial function:
2 -> 1 => (-1, 1)
julia> generic_xi_representatives(P1)
2-element Vector{AbstractAlgebra.Generic.FreeModuleElem{ZZRingElem}}:
(-1, 0)
(0, -1)
julia> P1_Q = convert_weights(P1); # Let's also test with QQ-weights
julia> generic_xi_representatives(P1_Q)
2-element Vector{AbstractAlgebra.Generic.FreeModuleElem{QQFieldElem}}:
(-1, 0)
(0, -1)On P^2 there are 6 chambers corresponding to the 6 orderings of the three coordinates of xi:
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> reps = generic_xi_representatives(P2);
julia> length(reps)
6
julia> all(xi -> is_generic(P2, xi), reps)
true
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> reps_Q = generic_xi_representatives(P2_Q);
julia> length(reps_Q)
6
julia> all(xi -> is_generic(P2_Q, xi), reps_Q)
trueNon-compact example: the total space of O(1) + O(-1) on P^1:
julia> T = total_space(vector_bundle_O(1, [1, -1]))
GKM graph with 2 nodes, valency 3 and axial function:
2 -> 1 => (-1, 1, 0, 0)
Standalone flags:
1.2 => (0, 0, 1, 0)
1.3 => (0, 0, 0, 1)
2.2 => (-1, 1, 1, 0)
2.3 => (1, -1, 0, 1)
julia> length(generic_xi_representatives(T))
18
julia> T_Q = convert_weights(T); # Let's also test with QQ-weights
julia> length(generic_xi_representatives(T_Q))
18GKMtools.index_increasing_xi_representatives — Function
index_increasing_xi_representatives(G::AbstractGKM_graph) -> VectorReturn one representative per connected component of the generic locus on which xi is index increasing. Each representative lives in G.M.
Example
Every chamber of P^2 is index-increasing:
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> reps = index_increasing_xi_representatives(P2);
julia> length(reps)
6
julia> all(xi -> is_index_increasing(P2, xi), reps)
true
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> reps_Q = index_increasing_xi_representatives(P2_Q);
julia> length(reps_Q)
6
julia> all(xi -> is_index_increasing(P2_Q, xi), reps_Q)
trueFor the non-compact total space of O(1) + O(-1) on P^1, only some chambers are strictly index-increasing (compare the count with the 18 generic chambers):
julia> T = total_space(vector_bundle_O(1, [1, -1]));
julia> length(index_increasing_xi_representatives(T))
14
julia> T_Q = convert_weights(T); # Let's also test with QQ-weights
julia> length(index_increasing_xi_representatives(T_Q))
14GKMtools.weakly_index_increasing_xi_representatives — Function
weakly_index_increasing_xi_representatives(G::AbstractGKM_graph) -> VectorReturn one representative per connected component of the generic locus on which xi is weakly index increasing. Each representative lives in G.M.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> reps = weakly_index_increasing_xi_representatives(P2);
julia> length(reps)
6
julia> all(xi -> is_weakly_index_increasing(P2, xi), reps)
true
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> reps_Q = weakly_index_increasing_xi_representatives(P2_Q);
julia> length(reps_Q)
6
julia> all(xi -> is_weakly_index_increasing(P2_Q, xi), reps_Q)
trueOn the non-compact total space of O(1) + O(-1) on P^1, every generic chamber turns out to be weakly index-increasing even though only 14 of them are strictly index-increasing:
julia> T = total_space(vector_bundle_O(1, [1, -1]));
julia> length(weakly_index_increasing_xi_representatives(T))
18
julia> T_Q = convert_weights(T); # Let's also test with QQ-weights
julia> length(weakly_index_increasing_xi_representatives(T_Q))
18GKMtools.admits_index_increasing_xi — Function
admits_index_increasing_xi(G::AbstractGKM_graph) -> Tuple{Bool, FreeModuleElem}Return (true, xi) if G admits some generic index-increasing direction xi in G.M, where xi is the first such direction found during chamber enumeration. Return (false, zero(G.M)) otherwise.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> ok, xi = admits_index_increasing_xi(P2);
julia> ok
true
julia> is_index_increasing(P2, xi)
true
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> ok_Q, xi_Q = admits_index_increasing_xi(P2_Q);
julia> ok_Q && is_index_increasing(P2_Q, xi_Q)
true
julia> G = gkm_2d([1 0; 1 1; 0 1; -1 0; -1 -1; 0 -1]) # Blowup of P1 x P1 in 2 points
GKM graph with 6 nodes, valency 2 and axial function:
2 -> 1 => (-1, 0)
3 -> 2 => (-1, -1)
4 -> 3 => (0, -1)
5 -> 4 => (1, 0)
6 -> 1 => (0, -1)
6 -> 5 => (1, 1)
julia> admits_index_increasing_xi(G)
(false, (0, 0))The same is true on the non-compact total space of O(1) + O(-1) on P^1:
julia> T = total_space(vector_bundle_O(1, [1, -1]));
julia> ok, xi = admits_index_increasing_xi(T);
julia> ok
true
julia> is_index_increasing(T, xi)
true
julia> T_Q = convert_weights(T); # Let's also test with QQ-weights
julia> ok_Q, xi_Q = admits_index_increasing_xi(T_Q);
julia> ok_Q && is_index_increasing(T_Q, xi_Q)
trueGKMtools.admits_weakly_index_increasing_xi — Function
admits_weakly_index_increasing_xi(G::AbstractGKM_graph) -> Tuple{Bool, FreeModuleElem}Return (true, xi) if G admits some generic weakly-index-increasing direction xi in G.M, where xi is the first such direction found during chamber enumeration. Return (false, zero(G.M)) otherwise.
Example
julia> P2 = projective_space(GKM_graph, 2)
GKM graph with 3 nodes, valency 2 and axial function:
2 -> 1 => (-1, 1, 0)
3 -> 1 => (-1, 0, 1)
3 -> 2 => (0, -1, 1)
julia> ok, xi = admits_weakly_index_increasing_xi(P2);
julia> ok
true
julia> is_weakly_index_increasing(P2, xi)
true
julia> P2_Q = convert_weights(P2); # Let's also test with QQ-weights
julia> ok_Q, xi_Q = admits_weakly_index_increasing_xi(P2_Q);
julia> ok_Q && is_weakly_index_increasing(P2_Q, xi_Q)
true
julia> G = gkm_2d([1 0; 1 1; 0 1; -1 0; -1 -1; 0 -1]) # Blowup of P1 x P1 in 2 points
GKM graph with 6 nodes, valency 2 and axial function:
2 -> 1 => (-1, 0)
3 -> 2 => (-1, -1)
4 -> 3 => (0, -1)
5 -> 4 => (1, 0)
6 -> 1 => (0, -1)
6 -> 5 => (1, 1)
julia> admits_weakly_index_increasing_xi(G)
(true, (-1, -1))Non-compact total space of O(1) + O(-1) on P^1:
julia> T = total_space(vector_bundle_O(1, [1, -1]));
julia> ok, xi = admits_weakly_index_increasing_xi(T);
julia> ok
true
julia> is_weakly_index_increasing(T, xi)
true
julia> T_Q = convert_weights(T); # Let's also test with QQ-weights
julia> ok_Q, xi_Q = admits_weakly_index_increasing_xi(T_Q);
julia> ok_Q && is_weakly_index_increasing(T_Q, xi_Q)
true