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import OAI.Combinatorics.Hamiltonian.BranchPartition
namespace OAI
/-! Rectangular primal and dual networks and finite lattice containment. -/
namespace Barnette.RectangularDual
noncomputable section
abbrev Vertex (n m : ℕ) := Fin (n + 1) × Fin (m + 1)
abbrev Edge (n m : ℕ) := (Fin n × Fin (m + 1)) ⊕ (Fin (n + 1) × Fin m)
abbrev Face (n m : ℕ) := Option (Fin n × Fin m)
def primal (n m : ℕ) : Network (Vertex n m) (Edge n m) where
tail := Sum.elim (fun e => (e.1.castSucc, e.2)) (fun e => (e.1, e.2.castSucc))
head := Sum.elim (fun e => (e.1.succ, e.2)) (fun e => (e.1, e.2.succ))
def lower {n : ℕ} : Fin (n + 1) → Option (Fin n) := Fin.cases none some
def upper {n : ℕ} : Fin (n + 1) → Option (Fin n) := Fin.lastCases none some
def dual (n m : ℕ) : Network (Face n m) (Edge n m) where
tail := Sum.elim
(fun e => (lower e.2).map (fun j => (e.1, j)))
(fun e => (upper e.1).map (fun i => (i, e.2)))
head := Sum.elim
(fun e => (upper e.2).map (fun j => (e.1, j)))
(fun e => (lower e.1).map (fun i => (i, e.2)))
def lowerValue {n : ℕ} (f : Fin n → ℝ) : Fin (n + 1) → ℝ := Fin.cases 0 f
def upperValue {n : ℕ} (f : Fin n → ℝ) : Fin (n + 1) → ℝ := Fin.lastCases 0 f
def stepCoeff {n : ℕ} (v : Fin (n + 1)) (e : Fin n) : ℝ :=
(if e.succ = v then 1 else 0) - (if e.castSucc = v then 1 else 0)
lemma sum_succ {n : ℕ} (f : Fin n → ℝ) (v : Fin (n + 1)) :
(∑ i, if i.succ = v then f i else 0) = lowerValue f v := by
induction v using Fin.cases with
| zero => simp [lowerValue]
| succ v => simp [lowerValue]
lemma sum_castSucc {n : ℕ} (f : Fin n → ℝ) (v : Fin (n + 1)) :
(∑ i, if i.castSucc = v then f i else 0) = upperValue f v := by
induction v using Fin.lastCases with
| last => simp [upperValue, Fin.castSucc_ne_last]
| cast v => simp [upperValue]
lemma sum_stepCoeff {n : ℕ} (f : Fin n → ℝ) (v : Fin (n + 1)) :
(∑ i, stepCoeff v i * f i) = lowerValue f v - upperValue f v := by
simp only [stepCoeff, sub_mul, ite_mul, one_mul, zero_mul,
Finset.sum_sub_distrib, sum_succ, sum_castSucc]
lemma lower_eval {n : ℕ} (f : Fin n → ℝ) (v : Fin (n + 1)) :
(lower v).elim 0 f = lowerValue f v := by
induction v using Fin.cases <;> simp [lower, lowerValue]
lemma upper_eval {n : ℕ} (f : Fin n → ℝ) (v : Fin (n + 1)) :
(upper v).elim 0 f = upperValue f v := by
induction v using Fin.lastCases <;> simp [upper, upperValue]
def potential {n m : ℕ} (f : Fin n × Fin m → ℝ) : Face n m → ℝ :=
fun z => z.elim 0 f
lemma eval_map {A B : Type*} (g : B → ℝ) (f : A → B) (z : Option A) :
(z.map f).elim 0 g = z.elim 0 (g ∘ f) := by cases z <;> rfl
lemma dual_horizontal {n m : ℕ} (f : Fin n × Fin m → ℝ)
(i : Fin n) (j : Fin (m + 1)) :
(dual n m).gradient (potential f) (.inl (i, j)) =
-∑ q, stepCoeff j q * f (i, q) := by
change ((upper j).map _).elim 0 f - ((lower j).map _).elim 0 f = _
rw [eval_map, eval_map, upper_eval, lower_eval, sum_stepCoeff]
dsimp only [Function.comp_def]
ring
lemma dual_vertical {n m : ℕ} (f : Fin n × Fin m → ℝ)
(i : Fin (n + 1)) (j : Fin m) :
(dual n m).gradient (potential f) (.inr (i, j)) =
∑ p, stepCoeff i p * f (p, j) := by
change ((lower i).map _).elim 0 f - ((upper i).map _).elim 0 f = _
rw [eval_map, eval_map, upper_eval, lower_eval, sum_stepCoeff]
rfl
lemma boundary_formula {n m : ℕ} (x : Edge n m → ℝ) (i : Fin (n + 1))
(j : Fin (m + 1)) :
(primal n m).boundary x (i, j) =
(∑ p, stepCoeff i p * x (.inl (p, j))) +
(∑ q, stepCoeff j q * x (.inr (i, q))) := by
classical
rw [Network.boundary_apply, Fintype.sum_sum_type]
simp only [primal, Sum.elim_inl, Sum.elim_inr, Prod.mk.injEq,
Fintype.sum_prod_type, stepCoeff, sub_mul, ite_mul, one_mul, zero_mul,
Finset.sum_sub_distrib, ite_and]
simp
lemma orthogonal_potential (n m : ℕ) (f : Fin n × Fin m → ℝ) :
(primal n m).boundary ((dual n m).gradient (potential f)) = 0 := by
ext ⟨i, j⟩
rw [boundary_formula]
simp only [dual_horizontal, dual_vertical, mul_neg, Finset.sum_neg_distrib,
Finset.mul_sum]
rw [Finset.sum_comm (f := fun q p => stepCoeff j q * (stepCoeff i p * f (p, q)))]
have he : (∑ p, ∑ q, stepCoeff j q * (stepCoeff i p * f (p, q))) =
∑ p, ∑ q, stepCoeff i p * (stepCoeff j q * f (p, q)) := by
apply Finset.sum_congr rfl
intro p _
apply Finset.sum_congr rfl
intro q _
ring
rw [he]
exact neg_add_cancel _
lemma orthogonal (n m : ℕ) (f : Face n m → ℝ) :
(primal n m).boundary ((dual n m).gradient f) = 0 := by
let g : Fin n × Fin m → ℝ := fun t => f (some t) - f none
have hf : f = potential g + (fun _ => f none) := by
ext z
cases z <;> simp [potential, g]
rw [hf, map_add, Network.gradient_const, add_zero]
exact orthogonal_potential n m g
lemma horizontal_adj {n m : ℕ} (i : Fin n) (j : Fin (m + 1)) :
(primal n m).graph.Adj (i.castSucc, j) (i.succ, j) := by
refine ⟨?_, .inl (i, j), Or.inl ⟨rfl, rfl⟩⟩
intro h
have hh := congrArg (fun z : Vertex n m => z.1.val) h
simp only [Fin.val_castSucc, Fin.val_succ] at hh
omega
lemma vertical_adj {n m : ℕ} (i : Fin (n + 1)) (j : Fin m) :
(primal n m).graph.Adj (i, j.castSucc) (i, j.succ) := by
refine ⟨?_, .inr (i, j), Or.inl ⟨rfl, rfl⟩⟩
intro h
have hh := congrArg (fun z : Vertex n m => z.2.val) h
simp only [Fin.val_castSucc, Fin.val_succ] at hh
omega
lemma primal_connected (n m : ℕ) : (primal n m).graph.Connected := by
apply (SimpleGraph.connected_iff_exists_forall_reachable _).mpr
refine ⟨(0, 0), ?_⟩
rintro ⟨i, j⟩
have hv : (primal n m).graph.Reachable (0, 0) (0, j) := by
induction j using Fin.induction with
| zero => exact .rfl
| succ j ih => exact ih.trans (vertical_adj (0 : Fin (n + 1)) j).reachable
have hh : (primal n m).graph.Reachable (0, j) (i, j) := by
induction i using Fin.induction with
| zero => exact .rfl
| succ i ih => exact ih.trans (horizontal_adj i j).reachable
exact hv.trans hh
lemma dual_connected (n m : ℕ) : (dual n m).graph.Connected := by
apply (SimpleGraph.connected_iff_exists_forall_reachable _).mpr
refine ⟨none, ?_⟩
intro z
cases z with
| none => exact .rfl
| some z =>
obtain ⟨i, j⟩ := z
cases n with
| zero => exact isEmptyElim i
| succ n =>
induction i using Fin.induction with
| zero =>
have h := ((dual (n + 1) m).edge_reachable (.inr (0, j))).symm
have hu : upper (0 : Fin (n + 2)) = some (0 : Fin (n + 1)) := by
change upper (0 : Fin (n + 1)).castSucc = _
exact Fin.lastCases_castSucc _
simpa only [dual, Sum.elim_inr, lower, Fin.cases_zero, hu,
Option.map_none, Option.map_some] using h
| succ i ih =>
have h := ((dual (n + 1) m).edge_reachable (.inr (i.succ.castSucc, j))).symm
have hl : lower i.succ.castSucc = some i.castSucc := by
have he : i.succ.castSucc = i.castSucc.succ := by ext; rfl
rw [he]
simp [lower]
have hu : upper i.succ.castSucc = some i.succ := Fin.lastCases_castSucc _
exact ih.trans (by
simpa only [dual, Sum.elim_inr, hl, hu, Option.map_some] using h)
theorem grid_duality (n m : ℕ) : (primal n m).Duality (dual n m) := by
apply Network.duality_of_orth_card (primal n m) (dual n m)
(primal_connected n m) (dual_connected n m)
· simp only [Vertex, Face, Edge, Fintype.card_prod, Fintype.card_fin,
Fintype.card_option, Fintype.card_sum]
ring
· exact orthogonal n m
end
end Barnette.RectangularDual
namespace Barnette.MinorModel
noncomputable section
open scoped Classical
variable {V W U : Type*} {G : SimpleGraph V} {H : SimpleGraph W}
{J : SimpleGraph U} [Fintype U]
def pullHost (M : MinorModel G H) (f : J ↪g H)
(hf : ∀ v, M.branch v ⊆ Set.range f) : MinorModel G J where
branch v := f ⁻¹' M.branch v
branch_finite _ := Set.toFinite _
branch_connected v := by
let g : {x // f x ∈ M.branch v} → M.branch v := fun x => ⟨f x.val, x.property⟩
have hg : Function.Bijective g := by
refine ⟨?_, ?_⟩
· intro x y hxy
apply Subtype.ext
exact f.injective (congrArg Subtype.val hxy)
· intro y
obtain ⟨x, hx⟩ := hf v y.property
refine ⟨⟨x, hx ▸ y.property⟩, ?_⟩
exact Subtype.ext hx
let e : J.induce (f ⁻¹' M.branch v) ≃g H.induce (M.branch v) :=
{ toEquiv := Equiv.ofBijective g hg
map_rel_iff' := by intro x y; exact f.map_rel_iff }
exact e.connected_iff.mpr (M.branch_connected v)
branches_disjoint v w hvw := (M.branches_disjoint v w hvw).preimage f
adjacency v w h := by
obtain ⟨a, ha, b, hb, hab⟩ := M.adjacency v w h
obtain ⟨a', rfl⟩ := hf v ha
obtain ⟨b', rfl⟩ := hf w hb
exact ⟨a', ha, b', hb, f.map_rel_iff.mp hab⟩
end
end Barnette.MinorModel
namespace Barnette.RectangularDual
noncomputable section
open scoped Classical
lemma primal_adj_iff {n m : ℕ} (p q : Vertex n m) :
(primal n m).graph.Adj p q ↔
((p.1.val + 1 = q.1.val ∨ q.1.val + 1 = p.1.val) ∧ p.2 = q.2) ∨
((p.2.val + 1 = q.2.val ∨ q.2.val + 1 = p.2.val) ∧ p.1 = q.1) := by
constructor
· rintro ⟨_, e, he⟩
rcases e with ⟨i, j⟩ | ⟨i, j⟩ <;>
rcases he with ⟨rfl, rfl⟩ | ⟨rfl, rfl⟩ <;> simp [primal]
· have hx (a b : Vertex n m) (h : a.1.val + 1 = b.1.val) (hj : a.2 = b.2) :
(primal n m).graph.Adj a b := by
have hi : a.1.val < n := by have := b.1.isLt; omega
refine ⟨?_, .inl (⟨a.1.val, hi⟩, a.2), Or.inl ⟨?_, ?_⟩⟩
· intro he; have hh := congrArg (fun x : Vertex n m => x.1.val) he; omega
· apply Prod.ext <;> rfl
· apply Prod.ext
· apply Fin.ext; exact h
· exact hj
have hy (a b : Vertex n m) (h : a.2.val + 1 = b.2.val) (hi : a.1 = b.1) :
(primal n m).graph.Adj a b := by
have hj : a.2.val < m := by have := b.2.isLt; omega
refine ⟨?_, .inr (a.1, ⟨a.2.val, hj⟩), Or.inl ⟨?_, ?_⟩⟩
· intro he; have hh := congrArg (fun x : Vertex n m => x.2.val) he; omega
· apply Prod.ext <;> rfl
· apply Prod.ext
· exact hi
· apply Fin.ext; exact h
rintro (⟨h | h, hj⟩ | ⟨h | h, hi⟩)
· exact hx p q h hj
· exact (hx q p h hj.symm).symm
· exact hy p q h hi
· exact (hy q p h hi.symm).symm
def latticePoint (r : ℕ) (p : Vertex (2 * r) (2 * r)) : ℤ × ℤ :=
((p.1.val : ℤ) - r, (p.2.val : ℤ) - r)
lemma latticePoint_injective (r : ℕ) : Function.Injective (latticePoint r) := by
intro p q h
have h₁ := congrArg Prod.fst h
have h₂ := congrArg Prod.snd h
dsimp [latticePoint] at h₁ h₂
apply Prod.ext <;> apply Fin.ext <;> omega
def latticeEmbedding (r : ℕ) : (primal (2 * r) (2 * r)).graph ↪g SquareGrid.graph where
toFun := latticePoint r
inj' := latticePoint_injective r
map_rel_iff' := by
intro p q
rw [primal_adj_iff]
change SquareGrid.graph.Adj (latticePoint r p) (latticePoint r q) ↔ _
simp only [SquareGrid.graph, latticePoint, Fin.ext_iff]
omega
lemma bounded_mem_range (r : ℕ) (z : ℤ × ℤ)
(h₁ : z.1.natAbs ≤ r) (h₂ : z.2.natAbs ≤ r) :
z ∈ Set.range (latticeEmbedding r) := by
have ha : z.1 ≤ (z.1.natAbs : ℤ) := Int.le_natAbs
have hb : -z.1 ≤ (z.1.natAbs : ℤ) := by simpa using (Int.le_natAbs (a := -z.1))
have hc : z.2 ≤ (z.2.natAbs : ℤ) := Int.le_natAbs
have hd : -z.2 ≤ (z.2.natAbs : ℤ) := by simpa using (Int.le_natAbs (a := -z.2))
refine ⟨(⟨(z.1 + r).toNat, ?_⟩, ⟨(z.2 + r).toNat, ?_⟩), ?_⟩
· omega
· omega
· apply Prod.ext <;> dsimp [latticeEmbedding, latticePoint] <;> omega
lemma finite_subset_box (s : Set (ℤ × ℤ)) (hs : s.Finite) :
∃ r : ℕ, s ⊆ Set.range (latticeEmbedding r) := by
let r := ∑ z ∈ hs.toFinset, (z.1.natAbs + z.2.natAbs)
refine ⟨r, ?_⟩
intro z hz
have hle : z.1.natAbs + z.2.natAbs ≤ r :=
Finset.single_le_sum (f := fun z : ℤ × ℤ => z.1.natAbs + z.2.natAbs)
(fun _ _ => Nat.zero_le _) (hs.mem_toFinset.mpr hz)
exact bounded_mem_range r z (by omega) (by omega)
theorem lattice_minor_in_rectangle {V : Type*} [Fintype V] {G : SimpleGraph V}
(M : MinorModel G SquareGrid.graph) :
∃ r : ℕ, Nonempty (MinorModel G (primal (2 * r) (2 * r)).graph) := by
let s := ⋃ v, M.branch v
have hs : s.Finite := Set.finite_iUnion M.branch_finite
obtain ⟨r, hr⟩ := finite_subset_box s hs
refine ⟨r, ⟨M.pullHost (latticeEmbedding r) ?_⟩⟩
intro v z hz
exact hr (Set.mem_iUnion.mpr ⟨v, hz⟩)
end
end Barnette.RectangularDual
end OAI