open import Cat.Instances.StrictCat
open import Cat.Instances.Graphs
open import Cat.Functor.Adjoint
open import Cat.Functor.Base
open import Cat.Prelude
open import Cat.Strict
open import Cat.Gaunt

import Cat.Reasoning

module Cat.Instances.Free where

Free categories🔗

Given a graph $G\text{,}$ we construct a strict category $\mathrm{Path}(G)$ in the following manner:

• The objects of $\mathrm{Path}(G)$ are the vertices of $G$
• The morphisms in $\mathrm{Path}(G)$ are given by finite paths in $G\text{.}$ Finite paths are defined by the following indexed-inductive type

module _ {o ℓ} (G : Graph o ℓ) where
  private module G = Graph G

  data Path-in : G.Vertex → G.Vertex → Type (o ⊔ ℓ) where
    nil  : ∀ {a} → Path-in a a
    cons : ∀ {a b c} → G.Edge a b → Path-in b c → Path-in a c

That is: a path is either empty, in which case it starts and ends at itself (these are the identity morphisms), or we can form a path from $a\to c$ by starting with a path $b\to c$ and precomposing with an edge $(a\to b):G\text{.}$ Much of the code below is dedicated to characterising the identity types between paths. Indeed, to construct a category $\mathrm{Path}(G)\text{,}$ we must show that paths in $G$ form a set.

We have a couple of options here:

• We can construct paths by recursion, on their length: Defining a “path from $x$ to $y$ of length $n$” by recursion on $n\text{,}$ and then defining a path from $x$ to $y$ as being a pair $(n,xs)$ where $n:\mathbb{N}$ and $xs$ is a path of length $n\text{;}$

• We can define paths by induction, as is done above.

The former approach makes it easy to show that paths form a set: we can directly construct the set of paths, by recursion, then project the underlying type if necessary. But working with these paths is very inconvenient, since we have to deal with explicit identities between the endpoints. The latter approach makes defining functions on paths easy, but showing that they are a set is fairly involved. Let’s see how to do it.

The first thing we’ll need is a predicate expressing that a path $xs:x\to y$ really encodes the empty path, and we have an identity of vertices $x\equiv y\text{.}$ We can do this by recursion: If $xs$ is nil, then we can take this to be the unit type, otherwise it’s the bottom type.

  is-nil : ∀ {a b} → Path-in a b → Type (o ⊔ ℓ)
  is-nil nil        = Lift _ ⊤
  is-nil (cons _ _) = Lift _ ⊥

We’d like to define a relation $\mathrm{Code}(xs,ys)\text{,}$ standing for an identification of paths $xs\equiv ys\text{.}$ But observe what happens in the case where we’ve built up a path $a\to c$ by adding an edge: We know that the edges start at $a\text{,}$ and the inner paths end at $c\text{,}$ but the inner vertex may vary!

We’ll need to package an identification $p:b\equiv b^{\prime }$ in the relation for $\mathrm{cons}\text{,}$ and so, we’ll have to encode for a path $xs\equiv ys$ over some identification of their start points. That’s why we have path-codep and not “path-code”. A value in ${\mathrm{Codep}}_b(xs,ys)$ codes for a path $xs\equiv ys$ over $b\text{.}$

  path-codep
    : ∀ (a : I → G.Vertex) {c}
    → Path-in (a i0) c
    → Path-in (a i1) c
    → Type (o ⊔ ℓ)

Note that in the case where $xs=\mathrm{nil}\text{,}$ Agda refines $b$ to be definitionally $a\text{,}$ and we can no longer match on the right-hand-side path $ys\text{.}$ That’s where the is-nil predicate comes in: We say that $ys$ is equal to $\mathrm{nil}$ if is-nil $ys$ holds. Of course, a cons and a nil can never be equal.

  path-codep a nil ys = is-nil ys
  path-codep a (cons x xs) nil = Lift _ ⊥

The recursive case constructs an identification of cons cells as a triple consisting of an identification between their intermediate vertices, and over that data, an identification between the added edges, and a code for an identification between the tails.

  path-codep a {c} (cons {b = b} x xs) (cons {b = b'} y ys) =
    Σ[ bs ∈ (b ≡ b') ]
      (PathP (λ i → G.Edge (a i) (bs i)) x y × path-codep (λ i → bs i) xs ys)

By recursion on the paths and the code for an equality, we can show that if we have a code for an identification, we can indeed compute an identification. The most involved case is actually when the lists are empty, in which case we must show that is-nil(xs)¹ implies that $xs\equiv \mathrm{nil}\text{,}$ but it must be over an arbitrary identification $p$². Fortunately, vertices in a graph $G$ live in a set, so $p$ is reflexivity.

  path-encode
    : ∀ (a : I → G.Vertex) {c} xs ys
    → path-codep a xs ys
    → PathP (λ i → Path-in (a i) c) xs ys
  path-encode a (cons x xs) (cons y ys) (p , q , r) i =
    cons {a = a i} {b = p i} (q i) $ path-encode (λ i → p i) xs ys r i
  path-encode a nil ys p = lemma (λ i → a (~ i)) ys p where
    lemma : ∀ {a b} (p : a ≡ b) (q : Path-in a b)
          → is-nil q → PathP (λ i → Path-in (p (~ i)) b) nil q
    lemma {a = a} p nil (lift lower) = to-pathp $
      is-set→subst-refl (λ e → Path-in e a)
        G.Vertex-is-set
        (sym p) nil
    lemma _ (cons x p) ()

The next step is to show that codes for identifications between paths live in a proposition; But this is immediate by their construction: in every case, we can show that they are either literally a proposition (the base case) or built out of propositions: this last case is inductive.

  path-codep-is-prop
    : ∀ (a : I → G.Vertex) {b}
    → (p : Path-in (a i0) b) (q : Path-in (a i1) b) → is-prop (path-codep a p q)
  path-codep-is-prop a nil xs x y = is-nil-is-prop xs x y where
    is-nil-is-prop : ∀ {a b} (xs : Path-in a b) → is-prop (is-nil xs)
    is-nil-is-prop nil x y = refl
  path-codep-is-prop a (cons h t) (cons h' t') (p , q , r) (p' , q' , r') =
    Σ-pathp (G.Vertex-is-set _ _ p p') $
    Σ-pathp
      (is-prop→pathp (λ i → PathP-is-hlevel'  G.Edge-is-set _ _) q q')
      (is-prop→pathp
        (λ i → path-codep-is-prop (λ j → G.Vertex-is-set _ _ p p' i j) t t')
        r r')

And finally, by proving that there is a code for the reflexivity path, we can show that we have an identity system in the type of paths from $a$ to $b$ given by their codes. Since these codes are propositions, and identity systems give a characterisation of a type’s identity types, we conclude that paths between a pair of vertices live in a set!

  path-codep-refl : ∀ {a b} (p : Path-in a b) → path-codep (λ i → a) p p
  path-codep-refl nil = lift tt
  path-codep-refl (cons x p) = refl , refl , path-codep-refl p

  path-identity-system
    : ∀ {a b}
    → is-identity-system {A = Path-in a b} (path-codep (λ i → a)) path-codep-refl
  path-identity-system = set-identity-system
    (path-codep-is-prop λ i → _)
    (path-encode _ _ _)

  path-is-set : ∀ {a b} → is-set (Path-in a b)
  path-is-set {a = a} = identity-system→hlevel  path-identity-system $
    path-codep-is-prop λ i → a

  path-decode
    : ∀ {a b} {xs ys : Path-in a b}
    → xs ≡ ys
    → path-codep (λ _ → a) xs ys
  path-decode = Equiv.from (identity-system-gives-path path-identity-system)

The path category🔗

By comparison, constructing the actual precategory of paths is almost trivial. The composition operation, concatenation, is defined by recursion over the left-hand-side path. This is definitionally unital on the left.

module _ {o ℓ} {G : Graph o ℓ} where
  private module G = Graph G

  _++_ : ∀ {a b c} → Path-in G a b → Path-in G b c → Path-in G a c
  nil ++ ys = ys
  cons x xs ++ ys = cons x (xs ++ ys)

Right unit and associativity are proven by induction.

  ++-idr : ∀ {a b} (xs : Path-in G a b) → xs ++ nil ≡ xs
  ++-idr nil         = refl
  ++-idr (cons x xs) = ap (cons x) (++-idr xs)

  ++-assoc
    : ∀ {a b c d} (p : Path-in G a b) (q : Path-in G b c) (r : Path-in G c d)
    → (p ++ q) ++ r ≡ p ++ (q ++ r)
  ++-assoc nil q r        = refl
  ++-assoc (cons x p) q r = ap (cons x) (++-assoc p q r)

And that’s it! Note that we must compose paths backwards, since the type of the concatenation operation and the type of morphism composition are mismatched (they’re reversed).

module _ {o ℓ} (G : Graph o ℓ) where
  private module G = Graph G

  open Precategory
  Path-category : Precategory o (o ⊔ ℓ)
  Path-category .Ob = G.Vertex
  Path-category .Hom = Path-in G
  Path-category .Hom-set _ _ = path-is-set G
  Path-category .id = nil
  Path-category ._∘_ xs ys = ys ++ xs
  Path-category .idr f = refl
  Path-category .idl f = ++-idr f
  Path-category .assoc f g h = ++-assoc h g f

Moreover, free categories are always gaunt: they are automatically strict and, as can be seen with a bit of work, univalent. Univalence follows because any non-trivial isomorphism would have to arise as a cons, but cons can never be nil — which would be required for a composition to equal the identity.

While types prevent us from directly stating “if a map is invertible, it is nil”, we can nevertheless pass around some equalities to make this induction acceptable.

  Path-category-is-category : is-category Path-category
  Path-category-is-category = r where
    module Pc = Cat.Reasoning Path-category

    rem₁ : ∀ {x y} (j : Pc.Isomorphism x y) → Σ (x ≡ y) λ p → PathP (λ i → Pc.Isomorphism x (p i)) Pc.id-iso j
    rem₁ {x = x} im = go im (im .Pc.to) refl (path-decode G (im .Pc.invr)) where
      go : ∀ {y} (im : Pc.Isomorphism x y) (j' : Path-in G x y) → j' ≡ im .Pc.to
         → path-codep G (λ _ → x) (j' ++ im .Pc.from) nil
         → Σ (x ≡ y) λ p → PathP (λ i → Pc.Isomorphism x (p i)) Pc.id-iso im
      go im nil p q = refl , ext p

    r : is-category Path-category
    r .to-path i      = rem₁ i .fst
    r .to-path-over i = rem₁ i .snd

  Path-category-is-gaunt : is-gaunt Path-category
  Path-category-is-gaunt = record
    { has-category = Path-category-is-category
    ; has-strict   = hlevel 
    }

As a free construction🔗

We shall now prove that free categories are, indeed, free. Explicitly, we shall show that they are free objects relative to the underlying graph functor.

open Functor
open Graph-hom

private variable
  o ℓ o' ℓ' : Level
  G H K : Graph o ℓ

open Graph

Let $G$ be a graph, $\mathcal{C}$ a strict category, and $f:G\to \mathcal{C}$ a graph homomorphism between $G$ and the underying graph of $\mathcal{C}\text{.}$ We can extend $f$ to a function $fold(f)$ from paths in $G$ to morphisms in $\mathcal{C}$ via induction.

module _ (C : Σ (Precategory o ℓ) is-strict) where
  private
    module C = Cat.Reasoning (C .fst)
    ∣C∣ : Graph o ℓ
    ∣C∣ = Strict-cats↪Graphs .F₀ C

  path-fold
    : (f : Graph-hom G ∣C∣)
    → ∀ {x y} → Path-in G x y → C.Hom (f .vertex x) (f .vertex y)
  path-fold f nil = C.id
  path-fold f (cons e p) = path-fold f p C.∘ f .edge e

Moreover, $fold(f)$ is functorial; it definitionally takes the nil to id, and we can easily show that it preserves composites with some easy induction.

  path-fold-++
    : {f : Graph-hom G ∣C∣}
    → ∀ {x y z} (p : Path-in G x y) (q : Path-in G y z)
    → path-fold f (p ++ q) ≡ path-fold f q C.∘ path-fold f p
  path-fold-++ nil q = sym (C.idr _)
  path-fold-++ (cons e p) q = C.pushl (path-fold-++ p q)

  PathF
    : Graph-hom G ∣C∣
    → Functor (Path-category G) (C .fst)
  PathF f .F₀ = f .vertex
  PathF f .F₁ = path-fold f
  PathF f .F-id = refl
  PathF f .F-∘ p q = path-fold-++ q p

  path-fold-unique
    : ∀ {f : Graph-hom G ∣C∣}
    → (h : ∀ {x y} → Path-in G x y → C.Hom (f .vertex x) (f .vertex y))
    → (∀ {x} → h (nil {a = x}) ≡ C.id)
    → (∀ {x y z} (e : G .Edge x y) (p : Path-in G y z) → h (cons e p) ≡ (h p C.∘ f .edge e))
    → ∀ {x y} (p : Path-in G x y) → h p ≡ path-fold f p
  path-fold-unique h n c nil = n
  path-fold-unique h n c (cons e p) =
    c e p
    ∙ ap₂ C._∘_ (path-fold-unique h n c p) refl

  path-reduce
    : ∀ {x y}
    → Path-in (Strict-cats↪Graphs .F₀ C) x y
    → C.Hom x y
  path-reduce = path-fold Graphs.id

module _ {C : Precategory o ℓ} where
  private module C = Cat.Reasoning C

We can also give a nice characterisation paths between functors out of path categories. In particular, we only need to check that two functors agree on edges; functoriality takes care of the rest.

  Path-category-functor-path
    : {F F' : Functor (Path-category G) C}
    → (p0 : ∀ x → F .F₀ x ≡ F' .F₀ x)
    → (p1 : ∀ {x y} (e : G .Edge x y)
            → PathP (λ i → C.Hom (p0 x i) (p0 y i))
                (F .F₁ (cons e nil))
                (F' .F₁ (cons e nil)))
    → F ≡ F'

  Path-category-functor-path {G = G} {F} {F'} p0 p1 =
    Functor-path p0 p1-paths
    where
      p1-paths
        : ∀ {x y}
        → (p : Path-in G x y)
        → PathP (λ i → C.Hom (p0 x i) (p0 y i)) (F .F₁ p) (F' .F₁ p)
      p1-paths {x = x} nil i =
        hcomp (∂ i) λ where
          j (i = i0) → F .F-id (~ j)
          j (i = i1) → F' .F-id (~ j)
          j (j = i0) → C.id
      p1-paths (cons e p) i =
        hcomp (∂ i) λ where
          j (i = i0) → F .F-∘ p (cons e nil) (~ j)
          j (i = i1) → F' .F-∘ p (cons e nil) (~ j)
          j (j = i0) → p1-paths p i C.∘ p1 e i

With these lemmas out of the way, we can return to our orginal goal. The unit of the free object is given by the graph homomorphism that takes an edge to a singleton path, the universal morphism is given by our functor PathF from earlier, and the universal property follow directly from our hypotheses.

Free-category : ∀ (G : Graph ℓ ℓ) → Free-object Strict-cats↪Graphs G
Free-category G .Free-object.free = Path-category G , hlevel 
Free-category G .Free-object.unit .vertex v = v
Free-category G .Free-object.unit .edge e = cons e nil
Free-category G .Free-object.fold {C} = PathF C
Free-category G .Free-object.commute {Y = C} {f = f} =
  Graph-hom-path (λ _ → refl) (λ _ → idl _)
  where open Precategory (C .fst)
Free-category G .Free-object.unique {Y = C} {f} F p =
  Path-category-functor-path
    (λ x i → p i .vertex x)
    (λ e → to-pathp (from-pathp (λ i → p i .edge e) ∙ sym (idl _)))
  where open Precategory (C .fst)

Free-categories : Functor (Graphs ℓ ℓ) (Strict-cats ℓ ℓ)
Free-categories = free-objects→functor Free-category

Free-categories⊣Underlying-graph : Free-categories {ℓ} ⊣ Strict-cats↪Graphs
Free-categories⊣Underlying-graph = free-objects→left-adjoint Free-category

-- Defined by hand to be more universe polymorphic.
path-map
  : ∀ {x y}
  → (f : Graph-hom G H)
  → Path-in G x y
  → Path-in H (f # x) (f # y)
path-map f nil = nil
path-map f (cons e p) = cons (f .edge e) (path-map f p)

path-map-id
  : ∀ {x y}
  → (p : Path-in G x y)
  → path-map Graphs.id p ≡ p
path-map-id nil = refl
path-map-id (cons e p) = ap (cons e) (path-map-id p)

path-map-∘
  : ∀ {x y}
  → {f : Graph-hom H K} {g : Graph-hom G H}
  → (p : Path-in G x y)
  → path-map (f Graphs.∘ g) p ≡ path-map f (path-map g p)
path-map-∘ nil = refl
path-map-∘ (cons e p) = ap₂ cons refl (path-map-∘ p)

module _
  {C D : Σ (Precategory o ℓ) is-strict}
  (F : Functor (C .fst) (D .fst))
  where
  private
    module C = Cat.Reasoning (C .fst)
    module D = Cat.Reasoning (D .fst)
    module F = Functor F

  path-reduce-natural
    : ∀ {x y}
    → (p : Path-in (Strict-cats↪Graphs .F₀ C) x y)
    → path-reduce D (path-map (Strict-cats↪Graphs .F₁ F) p) ≡ F.₁ (path-reduce C p)
  path-reduce-natural nil = sym F.F-id
  path-reduce-natural (cons e p) = ap₂ D._∘_ (path-reduce-natural p) refl ∙ sym (F.F-∘ _ _)

module _
  {C : Σ (Precategory o ℓ) is-strict}
  where
  private
    module C = Cat.Reasoning (C .fst)

  path-reduce-map
    : ∀ {x y}
    → {f : Graph-hom G (Strict-cats↪Graphs .F₀ C)}
    → (p : Path-in G x y)
    → path-reduce C (path-map f p) ≡ path-fold C f p
  path-reduce-map nil = refl
  path-reduce-map (cons e p) = ap₂ C._∘_ (path-reduce-map p) refl