Algebra of subgraphs

using Catlab.Graphs, Catlab.Graphics
using Catlab.Theories, Catlab.CategoricalAlgebra
Grph = ACSetCategory(Graph())

ACSetCategory(CSetCat(Graph), Dict{Symbol, Type}(:Cat => ConcreteCategory, :ACSHom => ACSetTransformation, :Hom => FinFunction, :Op => Union{}, :Sym => Symbol, :AttrType => Union{}, :Ob => FinSetInt, :Attr => Union{}, :ACS => ACSet, :Hetero => ConcreteHeteroMorphism…))

A subgraph of a graph $G$ is a monomorphism $A \rightarrowtail G$. Because the category of graphs is a presheaf topos, its subobjects have a rich algebraic structure, which we will explore in this vignette.

Throughout the vignette, we will work with subgraphs of the following graph.

G = @withmodel TypedCatWithCoproducts(Grph) (⊕) begin
 cycle_graph(Graph, 4) ⊕ path_graph(Graph, 2) ⊕ cycle_graph(Graph, 1)
end
add_edge!(G, 3, add_vertex!(G))

to_graphviz(G, node_labels=true, edge_labels=true)

Meet and join

The basic operations of meet or intersection ($\wedge$), join or union ($\vee$), top or maximum ($\top$), bottom or minimum ($\bot$) are all computed pointwise: separately on vertices and edges.

Consider the following two subgraphs.

(A = Subobject(G, V=1:4, E=[1,2,4])) |> to_graphviz

(B = Subobject(G, V=[2,3,4,7,8], E=[2,3,6,7])) |> to_graphviz

The join is defined as left adjoint to the diagonal, making it the least upper bound:

$$A \vee B \leq C \qquad\text{iff}\qquad A \leq C \text{ and } B \leq C.$$

@withmodel Grph (∨) begin
  A ∨ B
end |> to_graphviz

Dually, the meet is defined as right adjoint to the diagonal, making it the greatest lower bound:

$$C \leq A \text{ and } C \leq B \qquad\text{iff}\qquad C \leq A \wedge B.$$

@withmodel Grph (∧) begin
  A ∧ B
end |> to_graphviz

Implication and negation

The other operations, beginning with implication ($\Rightarrow$) and negation ($\neg$) are more interesting because they do not have pointwise formulas.

Implication is defined as the right adjoint to the meet:

$$C \wedge A \leq B \qquad\text{iff}\qquad C \leq A \Rightarrow B.$$

@withmodel Grph (⟹) begin
  A ⟹ B
end |> to_graphviz

Negation is defined by setting $B = \bot$ in the above formula:

$$C \wedge A = \bot \qquad\text{iff}\qquad C \leq \neg A.$$

@withmodel Grph (¬) begin
  ¬A
end |> to_graphviz

Induced subgraph as a double negation

The logic of subgraphs, and of subobjects in presheaf toposes generally, is not classical. Specifically, subobjects form a Heyting algebra but not a Boolean algebra. This means that the law of excluded middle does not hold: in general, $\neg \neg A \neq A$.

Applying the double negation to a discrete subgraph gives the subgraph induced by those vertices.

(C = Subobject(G, V=1:4)) |> to_graphviz

@withmodel Grph (¬) begin
  ¬(¬C)
end |> to_graphviz

Subtraction and non

The subojects also form co-Heyting algebra and hence a bi-Heyting algebra.

Subtraction is defined dually to implication as the left adjoint to the join:

$$A \leq B \vee C \qquad\text{iff}\qquad A \setminus B \leq C.$$

@withmodel Grph (\) begin
  A \ B
end |> to_graphviz

Non is defined by setting $A = \top$ in the above formula:

$$\top = B \vee C \qquad\text{iff}\qquad {\sim} B \leq C.$$

@withmodel Grph (~) begin
  ~A
end |> to_graphviz

Boundary via non

A boundary operator can be defined using the non operator:

$$\partial A := A \wedge {\sim} A.$$

@withmodel Grph (∧, ~) begin
  (A ∧ ~A)
end |> to_graphviz