openAI-math-dataset / lean /OAI /Probability /FreeIsing /Estimates /CylinderAutomorphism.lean
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Add lean source and binary files (part 121)
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import OAI.Probability.FreeIsing.Model
namespace OAI
namespace Problem367
noncomputable section
open Relation
variable {d : ℕ}
theorem ConnectedFinset.image {D : Finset (TreeVertex d)}
(hD : ConnectedFinset D) (g : TreeAut d) :
ConnectedFinset (D.image g.toEquiv) := by
classical
refine ⟨hD.1.image _, ?_⟩
intro u hu v hv
obtain ⟨u, huD, rfl⟩ := Finset.mem_image.mp hu
obtain ⟨v, hvD, rfl⟩ := Finset.mem_image.mp hv
exact ReflTransGen.lift g.toEquiv
(fun x y hxy => ⟨Finset.mem_image.mpr ⟨x, hxy.1, rfl⟩,
Finset.mem_image.mpr ⟨y, hxy.2.1, rfl⟩,
(g.map_adj x y).mpr hxy.2.2⟩) _ _ (hD.2 u huD v hvD)
namespace CylinderAut
private theorem adj_symm {u v : TreeVertex d} (h : treeAdj u v) : treeAdj v u :=
h.symm
private theorem length_ne_of_adj {u v : TreeVertex d} (h : treeAdj u v) :
u.1.length ≠ v.1.length := by
rcases h with ⟨c, hc⟩ | ⟨c, hc⟩
all_goals
have hlen := congrArg List.length hc
simp only [List.length_append, List.length_singleton] at hlen
omega
def orient (e : TreeVertex d × TreeVertex d) : TreeVertex d × TreeVertex d :=
if e.1.1.length < e.2.1.length then e else e.swap
private theorem orient_swap (e : TreeVertex d × TreeVertex d)
(hne : e.1.1.length ≠ e.2.1.length) :
orient e.swap = orient e := by
unfold orient
simp only [Prod.fst_swap, Prod.snd_swap, Prod.swap_swap]
split_ifs <;> first | rfl | (exfalso; omega)
private theorem mem_inducedEdges {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} :
e ∈ inducedEdges D ↔ e.1 ∈ D ∧ e.2 ∈ D ∧ treeAdj e.1 e.2 ∧
e.1.1.length < e.2.1.length := by
classical
simp [inducedEdges, and_assoc]
private theorem orient_mem {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} (h₁ : e.1 ∈ D) (h₂ : e.2 ∈ D)
(ha : treeAdj e.1 e.2) : orient e ∈ inducedEdges D := by
classical
unfold orient
split_ifs with h
· exact mem_inducedEdges.mpr ⟨h₁, h₂, ha, h⟩
· exact mem_inducedEdges.mpr ⟨h₂, h₁, adj_symm ha,
lt_of_le_of_ne (le_of_not_gt h) (length_ne_of_adj ha).symm⟩
private theorem orient_eq_of_mem {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} (he : e ∈ inducedEdges D) :
orient e = e := by
simp [orient, (mem_inducedEdges.mp he).2.2.2]
def push (g : TreeAut d) (e : TreeVertex d × TreeVertex d) :
TreeVertex d × TreeVertex d :=
orient (g.toEquiv e.1, g.toEquiv e.2)
def pull (g : TreeAut d) (e : TreeVertex d × TreeVertex d) :
TreeVertex d × TreeVertex d :=
orient (g.toEquiv.symm e.1, g.toEquiv.symm e.2)
private theorem push_mem (g : TreeAut d) {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} (he : e ∈ inducedEdges D) :
push g e ∈ inducedEdges (D.image g.toEquiv) := by
classical
obtain ⟨h₁, h₂, ha, _⟩ := mem_inducedEdges.mp he
exact orient_mem (Finset.mem_image.mpr ⟨e.1, h₁, rfl⟩)
(Finset.mem_image.mpr ⟨e.2, h₂, rfl⟩) ((g.map_adj _ _).mpr ha)
private theorem pull_push (g : TreeAut d) {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} (he : e ∈ inducedEdges D) :
pull g (push g e) = e := by
have hedir := (mem_inducedEdges.mp he).2.2.2
unfold push pull orient
by_cases h : (g.toEquiv e.1).1.length < (g.toEquiv e.2).1.length
all_goals simp [h, hedir, not_lt_of_ge (le_of_lt hedir)]
private theorem pull_mem (g : TreeAut d) {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} (he : e ∈ inducedEdges (D.image g.toEquiv)) :
pull g e ∈ inducedEdges D := by
classical
obtain ⟨h₁, h₂, ha, _⟩ := mem_inducedEdges.mp he
have hp₁ : g.toEquiv.symm e.1 ∈ D := by
obtain ⟨x, hx, hxe⟩ := Finset.mem_image.mp h₁
simpa [← hxe] using hx
have hp₂ : g.toEquiv.symm e.2 ∈ D := by
obtain ⟨x, hx, hxe⟩ := Finset.mem_image.mp h₂
simpa [← hxe] using hx
have hpa : treeAdj (g.toEquiv.symm e.1) (g.toEquiv.symm e.2) := by
apply (g.map_adj _ _).mp
simpa using ha
exact orient_mem hp₁ hp₂ hpa
private theorem push_pull (g : TreeAut d) {D : Finset (TreeVertex d)}
{e : TreeVertex d × TreeVertex d} (he : e ∈ inducedEdges (D.image g.toEquiv)) :
push g (pull g e) = e := by
have hedir := (mem_inducedEdges.mp he).2.2.2
unfold push pull orient
by_cases h : (g.toEquiv.symm e.1).1.length < (g.toEquiv.symm e.2).1.length
all_goals simp [h, hedir, not_lt_of_ge (le_of_lt hedir)]
theorem prod_inducedEdges_image {M : Type*} [CommMonoid M]
(g : TreeAut d) (D : Finset (TreeVertex d))
(f : TreeVertex d → TreeVertex d → M)
(hf : ∀ u v, f u v = f v u) :
(∏ e ∈ inducedEdges (D.image g.toEquiv),
f (g.toEquiv.symm e.1) (g.toEquiv.symm e.2)) =
∏ e ∈ inducedEdges D, f e.1 e.2 := by
classical
symm
apply Finset.prod_bij (fun e _ => push g e)
· intro e he
exact push_mem g he
· intro e₁ he₁ e₂ he₂ heq
have h := congrArg (pull g) heq
simpa only [pull_push g he₁, pull_push g he₂] using h
· intro e he
exact ⟨pull g e, pull_mem g he, push_pull g he⟩
· intro e he
unfold push orient
split_ifs
· simp
· simpa using hf e.1 e.2
end CylinderAut
theorem freeCylinderWeight_image_relabel (g : TreeAut d) (theta : ℝ)
(D : Finset (TreeVertex d)) (eta : TreeVertex d → IsingSpin) :
freeCylinderWeight theta (D.image g.toEquiv) (relabel g eta) =
freeCylinderWeight theta D eta := by
classical
unfold freeCylinderWeight
apply congrArg ENNReal.ofReal
apply congrArg ((1 / 2 : ℝ) * ·)
exact CylinderAut.prod_inducedEdges_image g D
(fun u v => (1 + (if eta u = eta v then theta else -theta)) / 2)
(by intro u v; simp only [eq_comm])
private def cylinderInverseAut (g : TreeAut d) : TreeAut d where
toEquiv := g.toEquiv.symm
map_adj := by
intro u v
simpa using (g.map_adj (g.toEquiv.symm u) (g.toEquiv.symm v)).symm
private theorem measurable_spin_cylinder (D : Finset (TreeVertex d))
(eta : TreeVertex d → IsingSpin) :
MeasurableSet {x : TreeVertex d → IsingSpin | ∀ v ∈ D, x v = eta v} := by
have hsingle (s : IsingSpin) : MeasurableSet ({s} : Set IsingSpin) := by
trivial
convert D.measurableSet_biInter
(fun v _ => (measurable_pi_apply v) (hsingle (eta v))) using 1
ext x
simp
theorem HasFreeIsingLaw.map_relabel {theta : ℝ}
{mu : MeasureTheory.Measure (TreeVertex d → IsingSpin)}
(hmu : HasFreeIsingLaw theta mu) (g : TreeAut d) :
HasFreeIsingLaw theta (MeasureTheory.Measure.map (relabel g) mu) := by
classical
intro D hD eta
have hm : Measurable (relabel g : (TreeVertex d → IsingSpin) → _) :=
measurable_pi_iff.mpr (fun v => measurable_pi_apply (g.toEquiv.symm v))
rw [MeasureTheory.Measure.map_apply hm (measurable_spin_cylinder D eta)]
let gi := cylinderInverseAut g
have hpre : relabel g ⁻¹' {x : TreeVertex d → IsingSpin | ∀ v ∈ D, x v = eta v} =
{x : TreeVertex d → IsingSpin | ∀ v ∈ D.image gi.toEquiv,
x v = relabel gi eta v} := by
ext x
constructor
· intro hx v hv
obtain ⟨u, hu, rfl⟩ := Finset.mem_image.mp hv
simpa [relabel, gi, cylinderInverseAut] using hx u hu
· intro hx v hv
have hh := hx (gi.toEquiv v) (Finset.mem_image.mpr ⟨v, hv, rfl⟩)
simpa [relabel, gi, cylinderInverseAut] using hh
rw [hpre, hmu _ (hD.image gi), freeCylinderWeight_image_relabel]
end
end Problem367
end OAI