openAI-math-dataset / lean /OAI /Probability /IsingPerceptron /ArraySynchronization.lean
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import Mathlib
import OAI.Probability.IsingPerceptron.TiltedLabelLaw
namespace OAI
/-! Array Synchronization. -/
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped BigOperators Topology ENNReal NNReal BoundedContinuousFunction
open MeasureTheory ProbabilityTheory Filter
open scoped BigOperators Topology ENNReal Matrix
namespace IsingPerceptron
def arrayBlock {Ω : Type*} (B : Ω → ℕ → ℕ → ℝ) (n : ℕ) (ω : Ω) :
Fin n → Fin n → ℝ := fun i j => B ω i j
def HasGhirlandaGuerra {Ω : Type*} [MeasurableSpace Ω]
(B : Ω → ℕ → ℕ → ℝ) (μ : Measure Ω) : Prop :=
∀ (n : ℕ), 2 ≤ n → ∀ (i : Fin n)
(A : Set (Fin n → Fin n → ℝ)), MeasurableSet A →
∀ (t : Set ℝ), MeasurableSet t →
μ.real ((arrayBlock B n ⁻¹' A) ∩ {ω | B ω i n ∈ t}) =
(μ.real (arrayBlock B n ⁻¹' A) * μ.real {ω | B ω 0 1 ∈ t}) / n +
(∑ j ∈ Finset.univ.erase i,
μ.real ((arrayBlock B n ⁻¹' A) ∩ {ω | B ω i j ∈ t})) / n
def negativeBlock {Ω : Type*} (B : Ω → ℕ → ℕ → ℝ) (ε : ℝ) (n : ℕ) : Set Ω :=
{ω | ∀ i j : Fin n, i ≠ j → B ω i j < -ε}
lemma matrix_sum_le_of_offDiagonal {n : ℕ} {B : Matrix (Fin n) (Fin n) ℝ}
{D ε : ℝ} (hdiag : ∀ i, B i i = D)
(hoff : ∀ i j, i ≠ j → B i j ≤ -ε) :
∑ i, ∑ j, B i j ≤ (n : ℝ) * (D - (n - 1 : ℝ) * ε) := by
classical
have hrow : ∀ i, ∑ j, B i j ≤ D - (n - 1 : ℝ) * ε := by
intro i
rw [← Finset.sum_erase_add _ _ (Finset.mem_univ i), hdiag i]
have hn : 0 < n := (Nat.zero_le i.val).trans_lt i.isLt
have h := Finset.sum_le_sum (s := Finset.univ.erase i) (f := fun j => B i j)
(g := fun _ => -ε) (fun j hj => hoff i j (Ne.symm (Finset.mem_erase.mp hj).1))
have hcard : (Finset.univ.erase i).card = n - 1 := by simp
simp only [Finset.sum_const, nsmul_eq_mul, hcard] at h
rw [Nat.cast_sub (by omega : 1 ≤ n), Nat.cast_one] at h
linarith
simpa only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul] using
Finset.sum_le_sum (s := Finset.univ) (fun i _ => hrow i)
lemma posSemidef_sum_nonneg {n : ℕ} {B : Matrix (Fin n) (Fin n) ℝ}
(hB : B.PosSemidef) : 0 ≤ ∑ i, ∑ j, B i j := by
simpa [dotProduct, Matrix.mulVec] using hB.dotProduct_mulVec_nonneg (fun _ => (1 : ℝ))
lemma no_large_negative_block {n : ℕ} {B : Matrix (Fin n) (Fin n) ℝ}
{D ε : ℝ} (hn : 0 < n) (hsize : D < (n - 1 : ℝ) * ε)
(hB : B.PosSemidef) (hdiag : ∀ i, B i i = D)
(hoff : ∀ i j, i ≠ j → B i j < -ε) : False := by
have hs := matrix_sum_le_of_offDiagonal hdiag (fun i j h => (hoff i j h).le)
have hp := posSemidef_sum_nonneg hB
have hn' : (0 : ℝ) < n := by exact_mod_cast hn
nlinarith
lemma measurableSet_negative_finite (n : ℕ) (ε : ℝ) :
MeasurableSet {b : Fin n → Fin n → ℝ | ∀ i j, i ≠ j → b i j < -ε} := by
simp only [Set.ofPred_forall]
refine MeasurableSet.iInter (fun i => MeasurableSet.iInter (fun j =>
MeasurableSet.iInter (fun _ => ?_)))
exact measurableSet_lt
((measurable_pi_apply j).comp (measurable_pi_apply i)) measurable_const
lemma mem_negativeBlock_succ {Ω : Type*} {B : Ω → ℕ → ℕ → ℝ}
(hsym : ∀ ω i j, B ω i j = B ω j i) {ω : Ω} {ε : ℝ} {n : ℕ} :
ω ∈ negativeBlock B ε (n + 1) ↔
ω ∈ negativeBlock B ε n ∧ ∀ i : Fin n, B ω i n < -ε := by
constructor
· intro h
constructor
· intro i j hij
exact h i.castSucc j.castSucc (fun he => hij (Fin.ext (congrArg (fun t : Fin (n + 1) => t.val) he)))
· intro i
exact h i.castSucc (Fin.last n) (by intro he; have := congrArg Fin.val he; simp at this; omega)
· rintro ⟨h, ht⟩ i j hij
by_cases hi : i.val < n
· by_cases hj : j.val < n
· exact h ⟨i.val, hi⟩ ⟨j.val, hj⟩ (fun he => hij (Fin.ext (congrArg (fun t : Fin n => t.val) he)))
· have hjn : j.val = n := by omega
change B ω i.val j.val < -ε
rw [hjn]
exact ht ⟨i.val, hi⟩
· have hin : i.val = n := by omega
by_cases hj : j.val < n
· change B ω i.val j.val < -ε
rw [hin, hsym]
exact ht ⟨j.val, hj⟩
· have hjn : j.val = n := by omega
exact (hij (Fin.ext (hin.trans hjn.symm))).elim
lemma negativeBlock_two {Ω : Type*} {B : Ω → ℕ → ℕ → ℝ}
(hsym : ∀ ω i j, B ω i j = B ω j i) (ε : ℝ) :
negativeBlock B ε 2 = {ω | B ω 0 1 < -ε} := by
ext ω
constructor
· intro h
exact h 0 1 (by decide)
· intro h i j hij
fin_cases i <;> fin_cases j
· exact (hij rfl).elim
· exact h
· change B ω 1 0 < -ε
rw [hsym]
exact h
· exact (hij rfl).elim
lemma negativeBlock_next_probability {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → ℕ → ℕ → ℝ} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : ∀ i j, Measurable (fun ω => B ω i j))
(hsym : ∀ ω i j, B ω i j = B ω j i) (hGG : HasGhirlandaGuerra B μ)
(ε : ℝ) (n : ℕ) (hn : 2 ≤ n) :
μ.real (negativeBlock B ε n) * μ.real {ω | B ω 0 1 < -ε} ≤
μ.real (negativeBlock B ε (n + 1)) := by
classical
let A := negativeBlock B ε n
let Bad := fun i : Fin n => A ∩ {ω | -ε ≤ B ω i n}
have hbase : μ.real {ω | -ε ≤ B ω 0 1} = 1 - μ.real {ω | B ω 0 1 < -ε} := by
have hset : {ω | -ε ≤ B ω 0 1} = {ω | B ω 0 1 < -ε}ᶜ := by ext ω; simp
rw [hset, measureReal_compl (measurableSet_lt (hm 0 1) measurable_const), probReal_univ]
have hbad : ∀ i : Fin n, μ.real (Bad i) =
μ.real A * (1 - μ.real {ω | B ω 0 1 < -ε}) / n := by
intro i
have h := hGG n hn i {b | ∀ i j, i ≠ j → b i j < -ε}
(measurableSet_negative_finite n ε) (Set.Ici (-ε)) measurableSet_Ici
have hp : arrayBlock B n ⁻¹' {b | ∀ i j, i ≠ j → b i j < -ε} = A := rfl
rw [hp] at h
have hz : ∀ j ∈ Finset.univ.erase i,
A ∩ {ω | B ω i j ∈ Set.Ici (-ε)} = ∅ := by
intro j hj
apply Set.eq_empty_iff_forall_notMem.mpr
rintro ω ⟨hω, hω'⟩
exact (not_le_of_gt (hω i j (Ne.symm (Finset.mem_erase.mp hj).1))) hω'
have hzero : (∑ j ∈ Finset.univ.erase i,
μ.real (A ∩ {ω | B ω i j ∈ Set.Ici (-ε)})) = 0 := by
apply Finset.sum_eq_zero
intro j hj
rw [hz j hj, measureReal_empty]
rw [hzero] at h
simp only [zero_div, add_zero, Set.mem_Ici] at h
simpa only [Bad, hbase] using h
have hsub : A ⊆ negativeBlock B ε (n + 1) ∪ ⋃ i : Fin n, Bad i := by
intro ω hω
by_cases ht : ∀ i : Fin n, B ω i n < -ε
· exact Or.inl ((mem_negativeBlock_succ hsym).mpr ⟨hω, ht⟩)
· right
push Not at ht
obtain ⟨i, hi⟩ := ht
exact Set.mem_iUnion.mpr ⟨i, hω, hi⟩
have hbound := (measureReal_mono (μ := μ) hsub).trans
(measureReal_union_le (negativeBlock B ε (n + 1)) (⋃ i : Fin n, Bad i))
have hsum := measureReal_iUnion_fintype_le Bad (μ := μ)
simp_rw [hbad] at hsum
simp only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul] at hsum
have hn' : (n : ℝ) ≠ 0 := by exact_mod_cast (by omega : n ≠ 0)
rw [mul_div_left_comm, div_self hn', mul_one] at hsum
nlinarith
lemma gg_negative_probability_zero {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → ℕ → ℕ → ℝ} {μ : Measure Ω} [IsProbabilityMeasure μ] {D : ℝ}
(hm : ∀ i j, Measurable (fun ω => B ω i j))
(hsym : ∀ ω i j, B ω i j = B ω j i) (hGG : HasGhirlandaGuerra B μ)
(hGram : ∀ᵐ ω ∂μ, ∀ n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ᵐ ω ∂μ, ∀ i, B ω i i = D) {ε : ℝ} (hε : 0 < ε) :
μ {ω | B ω 0 1 < -ε} = 0 := by
apply (measureReal_eq_zero_iff (μ := μ)).mp
by_contra hbne
have hb : 0 < μ.real {ω | B ω 0 1 < -ε} :=
lt_of_le_of_ne measureReal_nonneg (Ne.symm hbne)
have hblocks : ∀ k : ℕ, 0 < μ.real (negativeBlock B ε (k + 2)) := by
intro k
induction k with
| zero => simpa only [Nat.zero_add, negativeBlock_two hsym] using hb
| succ k ih =>
have h := negativeBlock_next_probability hm hsym hGG ε (k + 2) (by omega)
exact (mul_pos ih hb).trans_le (by simpa only [Nat.succ_add] using h)
obtain ⟨m, hmgt⟩ := exists_nat_gt (D / ε)
have hsize : D < ((m + 2 : ℕ) - 1 : ℝ) * ε := by
have h := (div_lt_iff₀ hε).mp hmgt
simp only [Nat.cast_add, Nat.cast_ofNat]
nlinarith
have hnull : μ (negativeBlock B ε (m + 2)) = 0 := by
have ha : ∀ᵐ ω ∂μ, ω ∉ negativeBlock B ε (m + 2) := by
filter_upwards [hGram, hdiag] with ω hg hd
intro hn
exact no_large_negative_block (by omega : 0 < m + 2) hsize (hg (m + 2))
(fun i => hd i) hn
simpa using ae_iff.mp ha
have hpos := hblocks m
rw [Measure.real, hnull, ENNReal.toReal_zero] at hpos
exact (lt_irrefl (0 : ℝ)) hpos
theorem gg_pair_nonnegative {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → ℕ → ℕ → ℝ} {μ : Measure Ω} [IsProbabilityMeasure μ] {D : ℝ}
(hm : ∀ i j, Measurable (fun ω => B ω i j))
(hsym : ∀ ω i j, B ω i j = B ω j i) (hGG : HasGhirlandaGuerra B μ)
(hGram : ∀ᵐ ω ∂μ, ∀ n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ᵐ ω ∂μ, ∀ i, B ω i i = D) :
∀ᵐ ω ∂μ, 0 ≤ B ω 0 1 := by
have ha : ∀ k : ℕ, ∀ᵐ ω ∂μ, -(1 / (k + 1 : ℝ)) ≤ B ω 0 1 := by
intro k
rw [ae_iff]
simp only [not_le]
exact gg_negative_probability_zero hm hsym hGG hGram hdiag (by positivity)
filter_upwards [ae_all_iff.mpr ha] with ω hω
have hlim := (tendsto_one_div_add_atTop_nhds_zero_nat (𝕜 := ℝ)).neg
simp only [neg_zero] at hlim
exact le_of_tendsto' hlim hω
lemma polya_no_linear_cap {n : ℕ} (hn : 2 ≤ n) {b : ℝ} (hb : b < 1)
{r : ℕ → ℝ} (hr : ∀ k, 0 ≤ r k) (h0 : 0 < r 0)
(hrec : ∀ k, r (k+1) = r k * ((n : ℝ) + k - b) / ((n : ℝ) + k))
(hcap : ∀ k : ℕ, (k+1 : ℝ) * r k ≤ 1) : False := by
have hn' : (2 : ℝ) ≤ n := by exact_mod_cast hn
let t : ℕ → ℝ := fun k => ((n : ℝ) + k - 1) * r k
have ht : ∀ k, t (k+1) = t k + (1-b) * r k := by
intro k
have hnk : (n : ℝ) + k ≠ 0 := by positivity
dsimp [t]
rw [hrec]
push_cast
field_simp
ring
have hbase : 0 < t 0 := by
dsimp [t]; simp only [Nat.cast_zero, add_zero]
exact mul_pos (by linarith) h0
have hmono : Monotone t := monotone_nat_of_le_succ (fun k => by
rw [ht]
nlinarith [hr k])
have hlower : ∀ k, t 0 / ((n : ℝ) + k - 1) ≤ r k := by
intro k
have h := hmono (Nat.zero_le k)
have hden : 0 < (n : ℝ) + k - 1 := by linarith [Nat.cast_nonneg (α := ℝ) k]
exact (div_le_iff₀ hden).mpr (by simpa only [t, mul_comm] using h)
have hsum : ∀ k, t 0 + (1-b)*t 0 *
(∑ j ∈ Finset.range k, 1 / ((n : ℝ) + j - 1)) ≤ t k := by
intro k
induction k with
| zero => simp
| succ k ih =>
rw [Finset.sum_range_succ, ht]
have he := mul_le_mul_of_nonneg_left (hlower k) (sub_pos.mpr hb).le
calc
_ = (t 0 + (1-b)*t 0 * (∑ j ∈ Finset.range k, 1 / ((n : ℝ) + j - 1))) +
(1-b)*(t 0 / ((n : ℝ) + k - 1)) := by ring
_ ≤ _ := add_le_add ih he
have hupper : ∀ k, t k ≤ (n : ℝ) - 1 := by
intro k
have h := hcap k
have he : (n : ℝ) + k - 1 ≤ ((n : ℝ)-1) * (k+1) := by
nlinarith [Nat.cast_nonneg (α := ℝ) k]
have he' := mul_le_mul_of_nonneg_right he (hr k)
have h' := mul_le_mul_of_nonneg_left h (by linarith : 0 ≤ (n : ℝ)-1)
dsimp [t]
nlinarith
have hcompare : ∀ k, (∑ j ∈ Finset.range k, 1 / (j+1 : ℝ)) / n ≤
∑ j ∈ Finset.range k, 1 / ((n : ℝ) + j - 1) := by
intro k
rw [Finset.sum_div]
refine Finset.sum_le_sum fun j _ => ?_
have hj : (0 : ℝ) ≤ j := Nat.cast_nonneg j
have hden : 0 < (n : ℝ) + j - 1 := by linarith
rw [div_div]
apply one_div_le_one_div_of_le hden
nlinarith
have hH : Tendsto (fun k => t 0 + (1-b)*t 0 *
((∑ j ∈ Finset.range k, 1 / (j+1 : ℝ)) / n)) atTop atTop := by
apply tendsto_atTop_add_const_left
apply Filter.Tendsto.const_mul_atTop (by positivity)
exact Filter.Tendsto.atTop_div_const (by positivity)
Real.tendsto_sum_range_one_div_nat_succ_atTop
obtain ⟨k, hk⟩ := ((tendsto_atTop.1 hH) ((n : ℝ) - 1 + 1)).exists
have he := (mul_le_mul_of_nonneg_left (hcompare k) (by positivity : 0 ≤ (1-b)*t 0))
have hs := hsum k
have hu := hupper k
linarith
lemma equal_probability_aedisjoint_cap {Ω : Type*} [MeasurableSpace Ω]
{μ : Measure Ω} [IsProbabilityMeasure μ] {k : ℕ} {s : Fin (k+1) → Set Ω}
(hm : ∀ i, MeasurableSet (s i)) (hd : Pairwise (fun i j => AEDisjoint μ (s i) (s j)))
{r : ℝ} (hs : ∀ i, μ.real (s i) = r) : (k+1 : ℝ)*r ≤ 1 := by
have he := measureReal_biUnion_finset₀ (μ := μ) (s := Finset.univ)
(fun i _ j _ hij => hd hij) (fun i _ => (hm i).nullMeasurableSet)
(fun i _ => measure_ne_top μ (s i))
have hu : (⋃ i ∈ Finset.univ, s i) = ⋃ i, s i := by simp
rw [hu] at he
have hh : μ.real (⋃ i, s i) ≤ 1 := measureReal_le_one
rw [he] at hh
simpa [hs, Nat.cast_add, Nat.cast_one] using hh
abbrev RealArray := ℕ → ℕ → ℝ
def permuteArray (e : Equiv.Perm ℕ) (b : RealArray) : RealArray :=
fun i j => b (e i) (e j)
def WeaklyExchangeable {Ω : Type*} [MeasurableSpace Ω]
(B : Ω → RealArray) (μ : Measure Ω) : Prop :=
∀ e : Equiv.Perm ℕ, {i | e i ≠ i}.Finite →
IdentDistrib B (fun ω => permuteArray e (B ω)) μ μ
lemma swap_hasFiniteSupport (i j : ℕ) : {a | (Equiv.swap i j) a ≠ a}.Finite := by
apply ((Set.finite_singleton j).insert i).subset
intro a ha
by_contra hn
simp only [Set.mem_insert_iff, Set.mem_singleton_iff, not_or] at hn
exact ha (Equiv.swap_apply_of_ne_of_ne hn.1 hn.2)
lemma measurable_permuteArray (e : Equiv.Perm ℕ) : Measurable (permuteArray e) := by
exact Measurable.of_eval fun i => Measurable.of_eval fun j =>
(measurable_pi_apply (e j)).comp (measurable_pi_apply (e i))
def starSet (a : ℕ) (J : Finset ℕ) (A : Set (Fin a → Fin a → ℝ))
(T : Set (Fin a → ℝ)) (t : ℝ) (i : ℕ) : Set RealArray :=
{b | (fun x y : Fin a => b x y) ∈ A ∧
(fun x : Fin a => b x i) ∈ T ∧ ∀ j ∈ J, j ≠ i → b i j < t}
def duplicateSet (a : ℕ) (A : Set (Fin a → Fin a → ℝ))
(T : Set (Fin a → ℝ)) (t : ℝ) (i j : ℕ) : Set RealArray :=
{b | (fun x y : Fin a => b x y) ∈ A ∧
(fun x : Fin a => b x i) ∈ T ∧
(fun x : Fin a => b x j) ∈ T ∧ b i j < t}
lemma measurableSet_starSet {a : ℕ} (J : Finset ℕ) {A : Set (Fin a → Fin a → ℝ)}
{T : Set (Fin a → ℝ)} (hA : MeasurableSet A) (hT : MeasurableSet T)
(t : ℝ) (i : ℕ) : MeasurableSet (starSet a J A T t i) := by
apply MeasurableSet.inter
· exact hA.preimage (Measurable.of_eval fun x => Measurable.of_eval fun y =>
(measurable_pi_apply (y : ℕ)).comp (measurable_pi_apply (x : ℕ)))
apply MeasurableSet.inter
· exact hT.preimage (Measurable.of_eval fun x =>
(measurable_pi_apply i).comp (measurable_pi_apply (x : ℕ)))
change MeasurableSet {b : RealArray | ∀ j ∈ J, j ≠ i → b i j < t}
simp only [Set.ofPred_forall]
exact MeasurableSet.iInter fun j => MeasurableSet.iInter fun _ =>
MeasurableSet.iInter fun _ => measurableSet_lt
(by fun_prop : Measurable (fun b : RealArray => b i j)) measurable_const
lemma measurableSet_duplicateSet {a : ℕ} {A : Set (Fin a → Fin a → ℝ)}
{T : Set (Fin a → ℝ)} (hA : MeasurableSet A) (hT : MeasurableSet T)
(t : ℝ) (i j : ℕ) : MeasurableSet (duplicateSet a A T t i j) := by
apply MeasurableSet.inter
· exact hA.preimage (Measurable.of_eval fun x => Measurable.of_eval fun y =>
(measurable_pi_apply (y : ℕ)).comp (measurable_pi_apply (x : ℕ)))
apply MeasurableSet.inter
· exact hT.preimage (Measurable.of_eval fun x =>
(measurable_pi_apply i).comp (measurable_pi_apply (x : ℕ)))
exact (hT.preimage (Measurable.of_eval fun x =>
(measurable_pi_apply j).comp (measurable_pi_apply (x : ℕ)))).inter
(measurableSet_lt (by fun_prop : Measurable (fun b : RealArray => b i j)) measurable_const)
lemma starSet_permute {a : ℕ} {J : Finset ℕ} {A : Set (Fin a → Fin a → ℝ)}
{T : Set (Fin a → ℝ)} {t : ℝ} {i : ℕ} {e : Equiv.Perm ℕ}
(hfix : ∀ x < a, e x = x) (hJ : ∀ j, j ∈ J ↔ e j ∈ J) :
permuteArray e ⁻¹' starSet a J A T t i = starSet a J A T t (e i) := by
ext b
have hA : (fun x y : Fin a => permuteArray e b x y) = fun x y : Fin a => b x y := by
funext x y
simp only [permuteArray, hfix x x.isLt, hfix y y.isLt]
have hT : (fun x : Fin a => permuteArray e b x i) = fun x : Fin a => b x (e i) := by
funext x
simp only [permuteArray, hfix x x.isLt]
change (_ ∈ A ∧ _ ∈ T ∧ _) ↔ (_ ∈ A ∧ _ ∈ T ∧ _)
rw [hA, hT]
constructor
· rintro ⟨ha, ht, hs⟩
refine ⟨ha, ht, ?_⟩
intro j hj hji
have hj' : e.symm j ∈ J := (hJ _).mpr (by simpa using hj)
have hji' : e.symm j ≠ i := by intro he; apply hji; rw [← he]; simp
simpa only [permuteArray, Equiv.apply_symm_apply] using hs _ hj' hji'
· rintro ⟨ha, ht, hs⟩
exact ⟨ha, ht, fun j hj hji => hs (e j) ((hJ j).mp hj) (e.injective.ne hji)⟩
lemma duplicateSet_permute {a : ℕ} {A : Set (Fin a → Fin a → ℝ)}
{T : Set (Fin a → ℝ)} {t : ℝ} {i j : ℕ} {e : Equiv.Perm ℕ}
(hfix : ∀ x < a, e x = x) :
permuteArray e ⁻¹' duplicateSet a A T t i j = duplicateSet a A T t (e i) (e j) := by
ext b
change (_ ∈ A ∧ _ ∈ T ∧ _ ∈ T ∧ _) ↔ (_ ∈ A ∧ _ ∈ T ∧ _ ∈ T ∧ _)
have hA : (fun x y : Fin a => permuteArray e b x y) = fun x y : Fin a => b x y := by
funext x y
simp only [permuteArray, hfix x x.isLt, hfix y y.isLt]
have hT : ∀ i, (fun x : Fin a => permuteArray e b x i) = fun x : Fin a => b x (e i) := by
intro i; funext x
simp only [permuteArray, hfix x x.isLt]
rw [hA, hT i, hT j]
rfl
lemma swap_preserves_ge {a x y z : ℕ} (hx : a ≤ x) (hy : a ≤ y) (hz : a ≤ z) :
a ≤ (Equiv.swap x y) z := by
by_cases hzx : z = x
· subst z; simpa using hy
by_cases hzy : z = y
· subst z; simpa using hx
simpa only [Equiv.swap_apply_of_ne_of_ne hzx hzy] using hz
lemma star_probability_equal {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hwe : WeaklyExchangeable B μ)
{a : ℕ} {J : Finset ℕ} {A : Set (Fin a → Fin a → ℝ)}
{T : Set (Fin a → ℝ)} (hA : MeasurableSet A) (hT : MeasurableSet T)
{t : ℝ} {i j : ℕ} (hai : a ≤ i) (haj : a ≤ j) (hi : i ∈ J) (hj : j ∈ J) :
μ (B ⁻¹' starSet a J A T t i) = μ (B ⁻¹' starSet a J A T t j) := by
have h := (hwe (Equiv.swap i j) (swap_hasFiniteSupport i j)).measure_mem_eq
(measurableSet_starSet J hA hT t i)
change μ (B ⁻¹' starSet a J A T t i) =
μ (B ⁻¹' (permuteArray (Equiv.swap i j) ⁻¹' starSet a J A T t i)) at h
have hfix : ∀ x < a, (Equiv.swap i j) x = x := by
intro x hx
exact Equiv.swap_apply_of_ne_of_ne (by omega) (by omega)
have hJ : ∀ x, x ∈ J ↔ (Equiv.swap i j) x ∈ J := by
intro x
by_cases hxi : x = i
· subst x; simp only [Equiv.swap_apply_left]; exact iff_of_true hi hj
by_cases hxj : x = j
· subst x; simp only [Equiv.swap_apply_right]; exact iff_of_true hj hi
rw [Equiv.swap_apply_of_ne_of_ne hxi hxj]
rw [starSet_permute hfix hJ, Equiv.swap_apply_left] at h
exact h
lemma duplicate_probability_swap {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hwe : WeaklyExchangeable B μ)
{a : ℕ} {A : Set (Fin a → Fin a → ℝ)} {T : Set (Fin a → ℝ)}
(hA : MeasurableSet A) (hT : MeasurableSet T) (t : ℝ) (i j : ℕ)
{x y : ℕ} (hx : a ≤ x) (hy : a ≤ y) :
μ (B ⁻¹' duplicateSet a A T t i j) =
μ (B ⁻¹' duplicateSet a A T t ((Equiv.swap x y) i) ((Equiv.swap x y) j)) := by
have h := (hwe (Equiv.swap x y) (swap_hasFiniteSupport x y)).measure_mem_eq
(measurableSet_duplicateSet hA hT t i j)
change μ (B ⁻¹' duplicateSet a A T t i j) =
μ (B ⁻¹' (permuteArray (Equiv.swap x y) ⁻¹' duplicateSet a A T t i j)) at h
rwa [duplicateSet_permute (by
intro z hz
exact Equiv.swap_apply_of_ne_of_ne (by omega) (by omega))] at h
lemma duplicate_probability_equal {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hwe : WeaklyExchangeable B μ)
{a : ℕ} {A : Set (Fin a → Fin a → ℝ)} {T : Set (Fin a → ℝ)}
(hA : MeasurableSet A) (hT : MeasurableSet T) (t : ℝ)
{i j : ℕ} (hi : a ≤ i) (hj : a ≤ j) (hij : i ≠ j) :
μ (B ⁻¹' duplicateSet a A T t a (a+1)) = μ (B ⁻¹' duplicateSet a A T t i j) := by
let k := (Equiv.swap a i) (a+1)
have hk : a ≤ k := swap_preserves_ge (le_refl a) hi (by omega)
have hki : k ≠ i := by
have hh : (Equiv.swap a i) (a+1) ≠ (Equiv.swap a i) a :=
(Equiv.swap a i).injective.ne (by omega)
simpa only [Equiv.swap_apply_left] using hh
have h₁ := duplicate_probability_swap hwe hA hT t a (a+1) (le_refl a) hi
have h₂ := duplicate_probability_swap hwe hA hT t i k hk hj
rw [Equiv.swap_apply_of_ne_of_ne hki.symm hij, Equiv.swap_apply_left] at h₂
rw [Equiv.swap_apply_left] at h₁
exact h₁.trans h₂
lemma no_duplicate_star_cap {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hwe : WeaklyExchangeable B μ)
{a : ℕ} {A : Set (Fin a → Fin a → ℝ)} {T : Set (Fin a → ℝ)}
(hA : MeasurableSet A) (hT : MeasurableSet T) (t : ℝ)
(hdup : μ (B ⁻¹' duplicateSet a A T t a (a+1)) = 0) (k : ℕ) :
(k+1 : ℝ) * μ.real (B ⁻¹' starSet a (Finset.Ico a (a+k+1)) A T t a) ≤ 1 := by
let J := Finset.Ico a (a+k+1)
let s : Fin (k+1) → Set Ω := fun i => B ⁻¹' starSet a J A T t (a+i)
have hmem : ∀ i : Fin (k+1), a+i ∈ J := by
intro i
simp only [J, Finset.mem_Ico]
constructor <;> omega
apply equal_probability_aedisjoint_cap (μ := μ) (s := s)
· intro i
exact (measurableSet_starSet J hA hT t (a+i)).preimage hm
· intro i j hij
have hnull : μ (B ⁻¹' duplicateSet a A T t (a+i) (a+j)) = 0 := by
rw [← duplicate_probability_equal hwe hA hT t (by omega) (by omega)
(by intro h; apply hij; apply Fin.ext; omega), hdup]
change μ (s i ∩ s j) = 0
apply measure_mono_null (t := B ⁻¹' duplicateSet a A T t (a+i) (a+j)) ?_ hnull
intro ω hω
exact ⟨hω.1.1, hω.1.2.1, hω.2.2.1,
hω.1.2.2 (a+j) (hmem j) (by intro h; apply hij; apply Fin.ext; omega)⟩
· intro i
apply congrArg ENNReal.toReal
exact star_probability_equal hwe hA hT (by omega) (le_refl a) (hmem i)
(by simp only [J, Finset.mem_Ico]; constructor <;> omega)
def extendArrayBlock (n : ℕ) (b : Fin n → Fin n → ℝ) : RealArray :=
fun i j => if hi : i < n then if hj : j < n then b ⟨i,hi⟩ ⟨j,hj⟩ else 0 else 0
lemma measurable_extendArrayBlock (n : ℕ) : Measurable (extendArrayBlock n) := by
apply Measurable.of_eval
intro i
apply Measurable.of_eval
intro j
by_cases hi : i < n
· by_cases hj : j < n
· simpa only [extendArrayBlock, dite_eq_left hi, dite_eq_left hj, Function.comp_def] using
((measurable_pi_apply (⟨j,hj⟩ : Fin n)).comp (measurable_pi_apply (⟨i,hi⟩ : Fin n)))
· simp only [extendArrayBlock, dite_eq_left hi, dite_eq_right hj]; exact measurable_const
· simp only [extendArrayBlock, dite_eq_right hi]; exact measurable_const
lemma starSet_dependsOn {Ω : Type*} {B : Ω → RealArray} {ω : Ω}
{n a : ℕ} {J : Finset ℕ} {A : Set (Fin a → Fin a → ℝ)} {T : Set (Fin a → ℝ)}
{t : ℝ} {i : ℕ} (han : a ≤ n) (hin : i < n) (hJ : ∀ j ∈ J, j < n) :
extendArrayBlock n (arrayBlock B n ω) ∈ starSet a J A T t i ↔
B ω ∈ starSet a J A T t i := by
have he : ∀ x y, x < n → y < n →
extendArrayBlock n (arrayBlock B n ω) x y = B ω x y := by
intro x y hx hy
simp only [extendArrayBlock, dite_eq_left hx, dite_eq_left hy, arrayBlock]
have hA : (fun x y : Fin a => extendArrayBlock n (arrayBlock B n ω) x y) =
fun x y : Fin a => B ω x y := by
funext x y
exact he x y (x.isLt.trans_le han) (y.isLt.trans_le han)
have hT : (fun x : Fin a => extendArrayBlock n (arrayBlock B n ω) x i) =
fun x : Fin a => B ω x i := by
funext x
exact he x i (x.isLt.trans_le han) hin
change (_ ∈ A ∧ _ ∈ T ∧ _) ↔ (_ ∈ A ∧ _ ∈ T ∧ _)
rw [hA, hT]
apply and_congr_right; intro _
apply and_congr_right; intro _
apply forall_congr'; intro j
apply forall_congr'; intro hj
rw [he i j hin (hJ j hj)]
lemma starSet_chain_succ {a k : ℕ} {A : Set (Fin a → Fin a → ℝ)}
{T : Set (Fin a → ℝ)} {t : ℝ} :
starSet a (Finset.Ico a (a+(k+1)+1)) A T t a =
starSet a (Finset.Ico a (a+k+1)) A T t a ∩ {b | b a (a+k+1) < t} := by
ext b
constructor
· rintro ⟨ha, ht, hs⟩
refine ⟨⟨ha, ht, fun j hj hja => hs j ?_ hja⟩, hs (a+k+1) ?_ (by omega)⟩
· simp only [Finset.mem_Ico] at hj ⊢; omega
· simp only [Finset.mem_Ico]; omega
· rintro ⟨⟨ha, ht, hs⟩, hn⟩
refine ⟨ha, ht, ?_⟩
intro j hj hja
by_cases hjn : j = a+k+1
· change b a (a+k+1) < t at hn
simpa only [hjn] using hn
· apply hs j _ hja
simp only [Finset.mem_Ico] at hj ⊢; omega
lemma gg_star_chain_recurrence {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hsym : ∀ ω i j, B ω i j = B ω j i) (hGG : HasGhirlandaGuerra B μ)
{a : ℕ} (ha : 0 < a) {A : Set (Fin a → Fin a → ℝ)} {T : Set (Fin a → ℝ)}
(hA : MeasurableSet A) (hT : MeasurableSet T) (t : ℝ)
(hTlow : ∀ v ∈ T, ∀ i, v i < t) (k : ℕ) :
μ.real (B ⁻¹' starSet a (Finset.Ico a (a+(k+1)+1)) A T t a) =
μ.real (B ⁻¹' starSet a (Finset.Ico a (a+k+1)) A T t a) *
((a+1 : ℕ) + (k : ℝ) - (1 - μ.real {ω | B ω 0 1 < t})) /
((a+1 : ℕ) + (k : ℝ)) := by
classical
let n := a+k+1
let J := Finset.Ico a n
let C : Set Ω := B ⁻¹' starSet a J A T t a
let F : Set (Fin n → Fin n → ℝ) := extendArrayBlock n ⁻¹' starSet a J A T t a
let i : Fin n := ⟨a, by dsimp [n]; omega⟩
have hF : MeasurableSet F :=
(measurableSet_starSet J hA hT t a).preimage (measurable_extendArrayBlock n)
have hC : arrayBlock B n ⁻¹' F = C := by
ext ω
exact starSet_dependsOn (by dsimp [n]; omega) (by dsimp [n]; omega)
(by intro j hj; exact (Finset.mem_Ico.mp hj).2)
have h := hGG n (by dsimp [n]; omega) i F hF (Set.Iio t) measurableSet_Iio
rw [hC] at h
have hevent : ∀ j ∈ Finset.univ.erase i,
C ∩ {ω | B ω i j ∈ Set.Iio t} = C := by
intro j hj
apply Set.inter_eq_left.mpr
intro ω hω
have hji : j.val ≠ a := by
intro he
exact (Finset.mem_erase.mp hj).1 (Fin.ext he)
change B ω a j.val < t
by_cases hja : j.val < a
· rw [hsym ω a j.val]
exact hTlow _ hω.2.1 ⟨j.val,hja⟩
· exact hω.2.2 j.val (Finset.mem_Ico.mpr ⟨by omega, j.isLt⟩) hji
have hsum : (∑ j ∈ Finset.univ.erase i, μ.real (C ∩ {ω | B ω i j ∈ Set.Iio t})) =
(n-1 : ℝ) * μ.real C := by
calc
_ = ∑ _j ∈ Finset.univ.erase i, μ.real C :=
Finset.sum_congr rfl (fun j hj => congrArg μ.real (hevent j hj))
_ = _ := by
simp only [Finset.sum_const, Finset.card_erase_of_mem (Finset.mem_univ i),
Finset.card_univ, Fintype.card_fin, nsmul_eq_mul]
rw [Nat.cast_sub (by dsimp [n]; omega : 1 ≤ n), Nat.cast_one]
rw [hsum] at h
rw [starSet_chain_succ, Set.preimage_inter]
change μ.real (C ∩ {ω | B ω a n < t}) = _
change μ.real (C ∩ {ω | B ω a n < t}) = _ at h
rw [h]
dsimp [C, J, n]
simp only [Set.mem_Iio]
push_cast
ring
lemma low_pair_probability_equal {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hwe : WeaklyExchangeable B μ)
{a : ℕ} (ha : 0 < a) (t : ℝ) :
μ {ω | B ω 0 1 < t} = μ {ω | B ω 0 a < t} := by
have h := (hwe (Equiv.swap 1 a) (swap_hasFiniteSupport 1 a)).measure_mem_eq
(measurableSet_lt (by fun_prop : Measurable (fun b : RealArray => b 0 1))
(measurable_const (a := t)))
have hz : (Equiv.swap 1 a) 0 = 0 :=
Equiv.swap_apply_of_ne_of_ne (by omega) (by omega)
simpa only [Set.preimage_ofPred_eq, permuteArray, hz, Equiv.swap_apply_left] using h
lemma starSet_base (a : ℕ) (A : Set (Fin a → Fin a → ℝ)) (T : Set (Fin a → ℝ)) (t : ℝ) :
starSet a (Finset.Ico a (a+1)) A T t a =
{b | (fun x y : Fin a => b x y) ∈ A ∧ (fun x : Fin a => b x a) ∈ T} := by
ext b
constructor
· intro h; exact ⟨h.1, h.2.1⟩
· rintro ⟨hA, hT⟩
refine ⟨hA, hT, ?_⟩
intro j hj hjne
simp only [Finset.mem_Ico] at hj
omega
theorem gg_duplication_positive {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{a : ℕ} (ha : 0 < a) {A : Set (Fin a → Fin a → ℝ)} {T : Set (Fin a → ℝ)}
(hA : MeasurableSet A) (hT : MeasurableSet T) (t : ℝ)
(hTlow : ∀ v ∈ T, ∀ i, v i < t)
(hpos : 0 < μ.real (B ⁻¹' starSet a (Finset.Ico a (a+1)) A T t a)) :
0 < μ.real (B ⁻¹' duplicateSet a A T t a (a+1)) := by
by_contra hn
have hzero : μ (B ⁻¹' duplicateSet a A T t a (a+1)) = 0 := by
apply (measureReal_eq_zero_iff (μ := μ)).mp
exact le_antisymm (not_lt.mp hn) measureReal_nonneg
have hp : 0 < μ.real {ω | B ω 0 1 < t} := by
have he := congrArg ENNReal.toReal (low_pair_probability_equal hwe ha t)
change μ.real {ω | B ω 0 1 < t} = μ.real {ω | B ω 0 a < t} at he
rw [he]
exact hpos.trans_le (measureReal_mono (μ := μ) (fun ω hω => hTlow _ hω.2.1 ⟨0,ha⟩))
apply polya_no_linear_cap (n := a+1) (b := 1 - μ.real {ω | B ω 0 1 < t})
(r := fun k => μ.real (B ⁻¹' starSet a (Finset.Ico a (a+k+1)) A T t a))
(by omega) (by linarith) (fun _ => measureReal_nonneg)
(by simpa only [Nat.add_zero] using hpos)
· exact gg_star_chain_recurrence hsym hGG ha hA hT t hTlow
· exact no_duplicate_star_cap hm hwe hA hT t hzero
def blockLaw {Ω : Type*} [MeasurableSpace Ω] (B : Ω → RealArray)
(μ : Measure Ω) (n : ℕ) : Measure (Fin n → Fin n → ℝ) :=
Measure.map (arrayBlock B n) μ
lemma measurable_arrayBlock {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} (hm : Measurable B) (n : ℕ) :
Measurable (arrayBlock B n) := by
unfold arrayBlock
fun_prop
lemma blockLaw_support_compact {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hm : Measurable B) {D : ℝ}
(hb : ∀ ω i j, |B ω i j| ≤ D) (n : ℕ) :
IsCompact (blockLaw B μ n).support := by
apply (isCompact_Icc (a := fun _ _ : Fin n => -D)
(b := fun _ _ : Fin n => D)).of_isClosed_subset Measure.isClosed_support
apply Measure.support_subset_of_isClosed isClosed_Icc
rw [mem_ae_iff]
rw [blockLaw, Measure.map_apply (measurable_arrayBlock hm n) isClosed_Icc.isOpen_compl.measurableSet]
have he : arrayBlock B n ⁻¹' (Set.Icc (fun _ _ : Fin n => -D) (fun _ _ : Fin n => D))ᶜ = ∅ := by
apply Set.eq_empty_iff_forall_notMem.mpr
intro ω hω
apply hω
constructor
· intro i j; exact (abs_le.mp (hb ω i j)).1
· intro i j; exact (abs_le.mp (hb ω i j)).2
rw [he, measure_empty]
theorem gg_duplicate_supported_last {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hb : ∀ ω i j, |B ω i j| ≤ D)
{a : ℕ} (ha : 0 < a) {A : Fin (a+1) → Fin (a+1) → ℝ}
(hA : A ∈ (blockLaw B μ (a+1)).support) {t : ℝ}
(ht : ∀ i : Fin a, A i.castSucc (Fin.last a) ≤ t) :
∃ C ∈ (blockLaw B μ (a+2)).support,
(∀ i j : Fin a, C i.castSucc.castSucc j.castSucc.castSucc = A i.castSucc j.castSucc) ∧
(∀ i : Fin a, C i.castSucc.castSucc (Fin.last a).castSucc = A i.castSucc (Fin.last a)) ∧
(∀ i : Fin a, C i.castSucc.castSucc (Fin.last (a+1)) = A i.castSucc (Fin.last a)) ∧
C (Fin.last a).castSucc (Fin.last (a+1)) ≤ t := by
have happrox : ∀ ε : ℝ, 0 < ε → ∃ C ∈ (blockLaw B μ (a+2)).support,
(∀ i j : Fin a, |C i.castSucc.castSucc j.castSucc.castSucc - A i.castSucc j.castSucc| < ε) ∧
(∀ i : Fin a, |C i.castSucc.castSucc (Fin.last a).castSucc - A i.castSucc (Fin.last a)| < ε) ∧
(∀ i : Fin a, |C i.castSucc.castSucc (Fin.last (a+1)) - A i.castSucc (Fin.last a)| < ε) ∧
C (Fin.last a).castSucc (Fin.last (a+1)) < t+ε := by
intro ε hε
let F : Set (Fin a → Fin a → ℝ) :=
{c | ∀ i j, |c i j - A i.castSucc j.castSucc| < ε}
let T : Set (Fin a → ℝ) :=
{c | ∀ i, |c i - A i.castSucc (Fin.last a)| < ε}
have hF : MeasurableSet F := by
dsimp [F]; simp only [Set.ofPred_forall]
exact MeasurableSet.iInter fun i => MeasurableSet.iInter fun j => measurableSet_lt (by fun_prop) measurable_const
have hT : MeasurableSet T := by
dsimp [T]; simp only [Set.ofPred_forall]
exact MeasurableSet.iInter fun i => measurableSet_lt (by fun_prop) measurable_const
have hball := (Measure.mem_support_iff_forall A).mp hA
(Metric.ball A ε) (Metric.ball_mem_nhds A hε)
rw [blockLaw, Measure.map_apply (measurable_arrayBlock hm (a+1)) Metric.isOpen_ball.measurableSet] at hball
have hpos : 0 < μ.real (B ⁻¹' starSet a (Finset.Ico a (a+1)) F T (t+ε) a) := by
have hsub : arrayBlock B (a+1) ⁻¹' Metric.ball A ε ⊆
B ⁻¹' starSet a (Finset.Ico a (a+1)) F T (t+ε) a := by
intro ω hω
rw [starSet_base]
have hc := (dist_pi_lt_iff hε).mp hω
constructor
· intro i j
exact (dist_pi_lt_iff hε).mp (hc i.castSucc) j.castSucc
· intro i
exact (dist_pi_lt_iff hε).mp (hc i.castSucc) (Fin.last a)
exact ENNReal.toReal_pos (ne_of_gt (hball.trans_le (measure_mono hsub))) (measure_ne_top _ _)
have hd := gg_duplication_positive hm hsym hwe hGG ha hF hT (t+ε)
(by intro v hv i; have hi := (abs_lt.mp (hv i)).2; have := ht i; linarith) hpos
let E : Set (Fin (a+2) → Fin (a+2) → ℝ) := {c |
(∀ i j : Fin a, |c i.castSucc.castSucc j.castSucc.castSucc - A i.castSucc j.castSucc| < ε) ∧
(∀ i : Fin a, |c i.castSucc.castSucc (Fin.last a).castSucc - A i.castSucc (Fin.last a)| < ε) ∧
(∀ i : Fin a, |c i.castSucc.castSucc (Fin.last (a+1)) - A i.castSucc (Fin.last a)| < ε) ∧
c (Fin.last a).castSucc (Fin.last (a+1)) < t+ε}
have hE : MeasurableSet E := by
change MeasurableSet ({c : Fin (a+2) → Fin (a+2) → ℝ | ∀ i j : Fin a, |c i.castSucc.castSucc j.castSucc.castSucc - A i.castSucc j.castSucc| < ε} ∩
({c | ∀ i : Fin a, |c i.castSucc.castSucc (Fin.last a).castSucc - A i.castSucc (Fin.last a)| < ε} ∩
({c | ∀ i : Fin a, |c i.castSucc.castSucc (Fin.last (a+1)) - A i.castSucc (Fin.last a)| < ε} ∩
{c | c (Fin.last a).castSucc (Fin.last (a+1)) < t+ε})))
refine MeasurableSet.inter ?_ (MeasurableSet.inter ?_ (MeasurableSet.inter ?_ ?_))
· simp only [Set.ofPred_forall]
exact MeasurableSet.iInter fun i => MeasurableSet.iInter fun j => measurableSet_lt (by fun_prop) measurable_const
· simp only [Set.ofPred_forall]
exact MeasurableSet.iInter fun i => measurableSet_lt (by fun_prop) measurable_const
· simp only [Set.ofPred_forall]
exact MeasurableSet.iInter fun i => measurableSet_lt (by fun_prop) measurable_const
· exact measurableSet_lt (by fun_prop) measurable_const
have hEp : 0 < (blockLaw B μ (a+2)) E := by
rw [blockLaw, Measure.map_apply (measurable_arrayBlock hm (a+2)) hE]
exact ENNReal.toReal_pos_iff.mp hd |>.1
obtain ⟨C, hCE, hCs⟩ := Measure.nonempty_inter_support_of_pos hEp
exact ⟨C, hCs, hCE⟩
choose C hCs hC using fun k : ℕ => happrox (1 / (k+1)) (by positivity)
obtain ⟨L, hLs, φ, hφ, hlim⟩ := (blockLaw_support_compact hm hb (a+2)).tendsto_subseq hCs
have hzero : Tendsto (fun k => 1 / ((φ k : ℝ)+1)) atTop (𝓝 0) :=
tendsto_one_div_add_atTop_nhds_zero_nat.comp hφ.tendsto_atTop
have hentry : ∀ i j, Tendsto (fun k => C (φ k) i j) atTop (𝓝 (L i j)) := by
intro i j
exact ((continuous_apply j).comp (continuous_apply i)).continuousAt.tendsto.comp hlim
have heq : ∀ (i j : Fin (a+2)) (v : ℝ),
(∀ k, |C k i j-v| < 1/((k:ℝ)+1)) → L i j = v := by
intro i j v hv
have hl := ((hentry i j).sub (tendsto_const_nhds (x := v))).abs
have hg : |L i j-v| ≤ 0 := le_of_tendsto_of_tendsto hl hzero
(Filter.Eventually.of_forall fun k => (hv (φ k)).le)
exact sub_eq_zero.mp (abs_eq_zero.mp (le_antisymm hg (abs_nonneg _)))
refine ⟨L, hLs, ?_, ?_, ?_, ?_⟩
· intro i j; exact heq _ _ _ (fun k => (hC k).1 i j)
· intro i; exact heq _ _ _ (fun k => (hC k).2.1 i)
· intro i; exact heq _ _ _ (fun k => (hC k).2.2.1 i)
· have htlim := tendsto_const_nhds.add hzero (a := t)
simp only [add_zero] at htlim
exact le_of_tendsto_of_tendsto (hentry _ _) htlim
(Filter.Eventually.of_forall fun k => (hC (φ k)).2.2.2.le)
lemma support_mem_of_continuous_invariant {X : Type*} [TopologicalSpace X]
[MeasurableSpace X] [OpensMeasurableSpace X] {μ : Measure X} {f : X → X}
(hf : Continuous f) (hi : ∀ s, MeasurableSet s → μ (f ⁻¹' s) = μ s)
{x : X} (hx : x ∈ μ.support) : f x ∈ μ.support := by
apply (Measure.mem_support_iff_forall _).mpr
intro U hU
obtain ⟨V, hVU, hVo, hxV⟩ := mem_nhds_iff.mp hU
have hp := (Measure.mem_support_iff_forall x).mp hx _
(hf.continuousAt.preimage_mem_nhds (hVo.mem_nhds hxV))
rw [hi V hVo.measurableSet] at hp
exact hp.trans_le (measure_mono hVU)
lemma blockLaw_support_swap {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω}
(hm : Measurable B) (hwe : WeaklyExchangeable B μ)
{n : ℕ} {A : Fin n → Fin n → ℝ} (hA : A ∈ (blockLaw B μ n).support)
(i j : Fin n) :
(fun x y => A ((Equiv.swap i j) x) ((Equiv.swap i j) y)) ∈
(blockLaw B μ n).support := by
have hcoe : ∀ x : Fin n, ((Equiv.swap i j) x).val = (Equiv.swap i.val j.val) x.val := by
intro x
by_cases hxi : x = i
· subst x; simp
by_cases hxj : x = j
· subst x; simp
rw [Equiv.swap_apply_of_ne_of_ne hxi hxj,
Equiv.swap_apply_of_ne_of_ne (fun h => hxi (Fin.ext h)) (fun h => hxj (Fin.ext h))]
let f : (Fin n → Fin n → ℝ) → (Fin n → Fin n → ℝ) :=
fun A x y => A ((Equiv.swap i j) x) ((Equiv.swap i j) y)
have hf : Continuous f := by unfold f; fun_prop
apply support_mem_of_continuous_invariant hf _ hA
intro S hS
rw [blockLaw, Measure.map_apply (measurable_arrayBlock hm n) (hS.preimage hf.measurable),
Measure.map_apply (measurable_arrayBlock hm n) hS]
have h := (hwe (Equiv.swap i.val j.val) (swap_hasFiniteSupport i.val j.val)).measure_mem_eq
(s := (fun b : RealArray => arrayBlock (fun _ : Unit => b) n ()) ⁻¹' S)
(hS.preimage (by unfold arrayBlock; fun_prop))
convert h.symm using 2 <;> ext ω <;> simp only [Set.mem_preimage, arrayBlock, f, hcoe] <;> rfl
lemma isClosed_setOf_posSemidef (n : ℕ) :
IsClosed {A : Matrix (Fin n) (Fin n) ℝ | A.PosSemidef} := by
have he : {A : Matrix (Fin n) (Fin n) ℝ | A.PosSemidef} =
{A : Matrix (Fin n) (Fin n) ℝ | ∀ i j, A i j = A j i} ∩ {A | ∀ v : Fin n → ℝ, 0 ≤ v ⬝ᵥ (A *ᵥ v)} := by
ext A
constructor
· intro h
refine ⟨?_, fun v => by simpa using h.dotProduct_mulVec_nonneg v⟩
intro i j
have he := congrFun (congrFun h.1 i) j
simpa only [Matrix.conjTranspose_apply, star_trivial] using he.symm
· rintro ⟨hs, hq⟩
apply Matrix.PosSemidef.of_dotProduct_mulVec_nonneg
· ext i j; exact hs j i
· intro v; simpa using hq v
rw [he]
apply IsClosed.inter
· simp only [Set.ofPred_forall]
exact isClosed_iInter fun i => isClosed_iInter fun j => isClosed_eq (by fun_prop) (by fun_prop)
· simp only [Set.ofPred_forall]
exact isClosed_iInter fun v => isClosed_le continuous_const (by unfold dotProduct Matrix.mulVec; fun_prop)
lemma blockLaw_support_gram {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hm : Measurable B) {D : ℝ}
(hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D) {n : ℕ}
{A : Fin n → Fin n → ℝ} (hA : A ∈ (blockLaw B μ n).support) :
Matrix.PosSemidef A ∧ ∀ i, A i i = D := by
have hdclosed : IsClosed {A : Fin n → Fin n → ℝ | ∀ i, A i i = D} := by
simp only [Set.ofPred_forall]
exact isClosed_iInter fun i => isClosed_eq (by fun_prop) continuous_const
have hc : IsClosed {A : Fin n → Fin n → ℝ | Matrix.PosSemidef A ∧ ∀ i, A i i = D} :=
(isClosed_setOf_posSemidef n).inter hdclosed
apply Measure.support_subset_of_isClosed hc _ hA
rw [mem_ae_iff, blockLaw, Measure.map_apply (measurable_arrayBlock hm n) hc.isOpen_compl.measurableSet]
have he : arrayBlock B n ⁻¹' {A : Fin n → Fin n → ℝ | Matrix.PosSemidef A ∧ ∀ i, A i i = D}ᶜ = ∅ := by
apply Set.eq_empty_iff_forall_notMem.mpr
intro ω hω
exact hω ⟨hpsd ω n, fun i => hdiag ω i⟩
rw [he, measure_empty]
lemma real_posSemidef_symm {n : ℕ} {A : Matrix (Fin n) (Fin n) ℝ}
(hA : A.PosSemidef) : ∀ i j, A i j = A j i := by
intro i j
have h := congrFun (congrFun hA.1 i) j
simpa only [Matrix.conjTranspose_apply, star_trivial] using h.symm
theorem gg_duplicate_supported {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hb : ∀ ω i j, |B ω i j| ≤ D)
(hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D)
{a : ℕ} (ha : 0 < a) {A : Fin (a+1) → Fin (a+1) → ℝ}
(hA : A ∈ (blockLaw B μ (a+1)).support) (p : Fin (a+1)) {t : ℝ}
(ht : ∀ i, i ≠ p → A i p ≤ t) :
∃ C ∈ (blockLaw B μ (a+2)).support,
(∀ i j : Fin (a+1), C i.castSucc j.castSucc = A i j) ∧
(∀ i : Fin (a+1), i ≠ p → C i.castSucc (Fin.last (a+1)) = A i p) ∧
C p.castSucc (Fin.last (a+1)) ≤ t := by
let e := Equiv.swap p (Fin.last a)
let A' : Fin (a+1) → Fin (a+1) → ℝ := fun i j => A (e i) (e j)
have hA' : A' ∈ (blockLaw B μ (a+1)).support := blockLaw_support_swap hm hwe hA p (Fin.last a)
have ht' : ∀ i : Fin a, A' i.castSucc (Fin.last a) ≤ t := by
intro i
simp only [A', e, Equiv.swap_apply_right]
apply ht
intro he
have hh := congrArg e he
simp only [e, Equiv.swap_apply_self, Equiv.swap_apply_left] at hh
exact Fin.castSucc_ne_last i hh
obtain ⟨C, hCs, hC0, hC1, hC2, hC3⟩ :=
gg_duplicate_supported_last hm hsym hwe hGG hb ha hA' ht'
have hgramA := blockLaw_support_gram hm hpsd hdiag hA
have hgramC := blockLaw_support_gram hm hpsd hdiag hCs
have hfull : ∀ i j : Fin (a+1), C i.castSucc j.castSucc = A' i j := by
intro i j
refine Fin.lastCases ?_ (fun ii => ?_) i
· refine Fin.lastCases ?_ (fun jj => ?_) j
· exact (hgramC.2 _).trans (hgramA.2 _).symm
· rw [real_posSemidef_symm hgramC.1, hC1]
exact real_posSemidef_symm hgramA.1 _ _
· refine Fin.lastCases ?_ (fun jj => ?_) j
· exact hC1 ii
· exact hC0 ii jj
let e' := Equiv.swap p.castSucc (Fin.last a).castSucc
have hecast : ∀ i : Fin (a+1), e' i.castSucc = (e i).castSucc := by
intro i
by_cases hi : i = p
· subst i; simp [e', e]
by_cases hil : i = Fin.last a
· subst i; simp [e', e]
rw [show e i = i from Equiv.swap_apply_of_ne_of_ne hi hil]
exact Equiv.swap_apply_of_ne_of_ne (fun h => hi (Fin.castSucc_injective _ h))
(fun h => hil (Fin.castSucc_injective _ h))
have helast : e' (Fin.last (a+1)) = Fin.last (a+1) := by
apply Equiv.swap_apply_of_ne_of_ne <;> exact (Fin.castSucc_ne_last _).symm
refine ⟨fun i j => C (e' i) (e' j), blockLaw_support_swap hm hwe hCs _ _, ?_, ?_, ?_⟩
· intro i j
change C (e' i.castSucc) (e' j.castSucc) = _
rw [hecast, hecast, hfull]
simp only [A', e, Equiv.swap_apply_self]
· intro i hip
change C (e' i.castSucc) (e' (Fin.last (a+1))) = _
rw [hecast, helast]
have heil : e i ≠ Fin.last a := by
intro he
have he' := congrArg e he
simp only [e, Equiv.swap_apply_self, Equiv.swap_apply_right] at he'
exact hip he'
obtain ⟨ii, hii⟩ := Fin.eq_castSucc_of_ne_last heil
rw [← hii, hC2]
dsimp [A']
have heii : e ii.castSucc = i := by rw [hii]; exact Equiv.swap_apply_self _ _ _
rw [heii]
simp [e]
· change C (e' p.castSucc) (e' (Fin.last (a+1))) ≤ _
rw [hecast, helast]
simpa only [e, Equiv.swap_apply_left] using hC3
lemma psd_bilinear_symm {ι : Type*} [Fintype ι] {B : Matrix ι ι ℝ}
(hB : B.PosSemidef) (x y : ι → ℝ) :
x ⬝ᵥ (B *ᵥ y) = y ⬝ᵥ (B *ᵥ x) := by
have hs : ∀ i j, B i j = B j i := by
intro i j
have h := congrFun (congrFun hB.1 i) j
simpa only [Matrix.conjTranspose_apply, star_trivial] using h.symm
simp only [dotProduct, Matrix.mulVec, Finset.mul_sum]
rw [Finset.sum_comm]
apply Finset.sum_congr rfl
intro i hi
apply Finset.sum_congr rfl
intro j hj
rw [hs j i]
ring
lemma psd_cauchy_schwarz {ι : Type*} [Fintype ι] {B : Matrix ι ι ℝ}
(hB : B.PosSemidef) (x y : ι → ℝ) :
(x ⬝ᵥ (B *ᵥ y)) ^ 2 ≤ (x ⬝ᵥ (B *ᵥ x)) * (y ⬝ᵥ (B *ᵥ y)) := by
have hq : ∀ t : ℝ, 0 ≤ (x ⬝ᵥ (B *ᵥ x)) * (t * t) +
(2 * (x ⬝ᵥ (B *ᵥ y))) * t + (y ⬝ᵥ (B *ᵥ y)) := by
intro t
have h := hB.dotProduct_mulVec_nonneg (t • x + y)
simp only [star_trivial, Matrix.mulVec_add, Matrix.mulVec_smul,
dotProduct_add, add_dotProduct, smul_dotProduct, dotProduct_smul,
smul_eq_mul] at h
rw [psd_bilinear_symm hB y x] at h
nlinarith
have h := discrim_le_zero hq
dsimp [discrim] at h
nlinarith
lemma psd_three_gap {B : Matrix (Fin 3) (Fin 3) ℝ} (hB : B.PosSemidef) :
(B 0 2 - B 0 1) ^ 2 ≤ B 0 0 * (B 1 1 + B 2 2 - 2 * B 1 2) := by
have hs : B 2 1 = B 1 2 := by
have h := congrFun (congrFun hB.1 1) 2
simpa only [Matrix.conjTranspose_apply, star_trivial] using h
have h := psd_cauchy_schwarz hB ![1, 0, 0] ![0, -1, 1]
simp [dotProduct, Matrix.mulVec, Fin.sum_univ_succ, hs] at h
nlinarith
def groupAverageMatrix {m : ℕ} (B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ) :
Matrix (Fin 3) (Fin 3) ℝ :=
fun i j => (∑ a : Fin m, ∑ b : Fin m, B (i,a) (j,b)) / (m : ℝ)^2
lemma groupAverageMatrix_posSemidef {m : ℕ}
{B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ} (hB : B.PosSemidef) :
(groupAverageMatrix B).PosSemidef := by
classical
let C : Matrix (Fin 3 × Fin m) (Fin 3) ℝ := fun a i => if a.1 = i then (m : ℝ)⁻¹ else 0
have h := hB.conjTranspose_mul_mul_same C
have heq : C.conjTranspose * B * C = groupAverageMatrix B := by
ext i j
change (∑ a : Fin 3 × Fin m, (∑ b : Fin 3 × Fin m, C b i * B b a) * C a j) = _
simp only [C, Fintype.sum_prod_type, ite_mul, zero_mul, mul_ite, mul_zero]
simp only [Finset.sum_mul]
dsimp [groupAverageMatrix]
rw [Finset.sum_comm]
simp [div_eq_mul_inv, pow_two, mul_assoc, mul_comm]
rw [Finset.sum_comm]
simp_rw [Finset.mul_sum]
rwa [heq] at h
lemma groupAverageMatrix_cross {m : ℕ} (hm : 0 < m)
{B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ} {i j : Fin 3} {q : ℝ}
(h : ∀ a b, B (i,a) (j,b) = q) : groupAverageMatrix B i j = q := by
have hm' : (m : ℝ) ≠ 0 := by exact_mod_cast (Nat.ne_of_gt hm)
simp [groupAverageMatrix, h, pow_two]
field_simp
lemma groupAverageMatrix_diag_le {m : ℕ} (hm : 0 < m)
{B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ} {i : Fin 3} {D q : ℝ}
(hd : ∀ a, B (i,a) (i,a) = D)
(ho : ∀ a b, a ≠ b → B (i,a) (i,b) ≤ q) :
groupAverageMatrix B i i ≤ D / m + (1 - 1 / (m : ℝ)) * q := by
classical
have hm' : (0 : ℝ) < m := by exact_mod_cast hm
have hr : ∀ a, ∑ b : Fin m, B (i,a) (i,b) ≤ D + (m - 1 : ℝ) * q := by
intro a
rw [← Finset.sum_erase_add _ _ (Finset.mem_univ a), hd a]
have h := Finset.sum_le_sum (s := Finset.univ.erase a)
(f := fun b => B (i,a) (i,b)) (g := fun _ => q)
(fun b hb => ho a b (Ne.symm (Finset.mem_erase.mp hb).1))
simp only [Finset.sum_const, Finset.card_erase_of_mem (Finset.mem_univ a),
Finset.card_univ, Fintype.card_fin, nsmul_eq_mul] at h
rw [Nat.cast_sub (by omega : 1 ≤ m), Nat.cast_one] at h
linarith
have h := Finset.sum_le_sum (s := Finset.univ) (fun a _ => hr a)
simp only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul] at h
dsimp [groupAverageMatrix]
apply (div_le_iff₀ (sq_pos_of_pos hm')).mpr
calc
_ ≤ m * (D + (m - 1 : ℝ) * q) := h
_ = _ := by field_simp
lemma psd_entry_le_diagonal {ι : Type*} [Fintype ι] {B : Matrix ι ι ℝ}
(hB : B.PosSemidef) {D : ℝ} (hd : ∀ i, B i i = D) (i j : ι) : B i j ≤ D := by
classical
have hD : 0 ≤ D := hd i ▸ hB.diag_nonneg
have h := psd_cauchy_schwarz hB (Pi.single i 1) (Pi.single j 1)
simp [dotProduct, Matrix.mulVec, Pi.single_apply, ite_mul, mul_ite, hd] at h
nlinarith [sq_nonneg (B i j - D)]
lemma groupAverageMatrix_diag_le_common {m : ℕ} (hm : 0 < m)
{B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ} {D : ℝ}
(hB : B.PosSemidef) (hd : ∀ a, B a a = D) (i : Fin 3) :
groupAverageMatrix B i i ≤ D := by
have h := groupAverageMatrix_diag_le hm (fun a => hd (i,a))
(fun a b _ => psd_entry_le_diagonal hB hd (i,a) (i,b))
have hD : D / (m : ℝ) + (1 - 1 / (m : ℝ)) * D = D := by ring
rwa [hD] at h
lemma duplicated_triple_gap_bound {m : ℕ} (hm : 0 < m)
{B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ} {D a b c : ℝ}
(hB : B.PosSemidef) (hd : ∀ i, B i i = D)
(hab : ∀ i j, B (0,i) (1,j) = a)
(hac : ∀ i j, B (0,i) (2,j) = b)
(hbc : ∀ i j, B (1,i) (2,j) = c)
(h22 : ∀ i j, i ≠ j → B (1,i) (1,j) ≤ c)
(h33 : ∀ i j, i ≠ j → B (2,i) (2,j) ≤ c) :
(b - a)^2 ≤ 2 * D * (D - c) / m := by
have hG := groupAverageMatrix_posSemidef hB
have h := psd_three_gap hG
have h00 := groupAverageMatrix_diag_le_common hm hB hd 0
have h11 := groupAverageMatrix_diag_le hm (fun i => hd (1,i)) h22
have h22' := groupAverageMatrix_diag_le hm (fun i => hd (2,i)) h33
have h01 := groupAverageMatrix_cross hm hab
have h02 := groupAverageMatrix_cross hm hac
have h12 := groupAverageMatrix_cross hm hbc
rw [h01, h02, h12] at h
have hD : 0 ≤ D := (hG.diag_nonneg (i := 0)).trans h00
have hq : 0 ≤ groupAverageMatrix B 1 1 + groupAverageMatrix B 2 2 - 2 * c := by
have h0 := hG.dotProduct_mulVec_nonneg ![0, -1, 1]
have hs : groupAverageMatrix B 2 1 = groupAverageMatrix B 1 2 := by
have he := congrFun (congrFun hG.1 1) 2
simpa only [Matrix.conjTranspose_apply, star_trivial] using he
simp [dotProduct, Matrix.mulVec, Fin.sum_univ_succ, hs, h12] at h0
linarith
calc
(b - a)^2 ≤ groupAverageMatrix B 0 0 *
(groupAverageMatrix B 1 1 + groupAverageMatrix B 2 2 - 2*c) := h
_ ≤ D * (groupAverageMatrix B 1 1 + groupAverageMatrix B 2 2 - 2*c) :=
mul_le_mul_of_nonneg_right h00 hq
_ ≤ D * (2 * (D / m + (1 - 1 / (m : ℝ)) * c) - 2*c) :=
mul_le_mul_of_nonneg_left (by linarith) hD
_ = 2 * D * (D - c) / m := by ring
lemma no_arbitrary_nonultrametric_duplicates {D a b c : ℝ} (hab : a < b)
(hex : ∀ m : ℕ, 0 < m → ∃ B : Matrix (Fin 3 × Fin m) (Fin 3 × Fin m) ℝ,
B.PosSemidef ∧ (∀ i, B i i = D) ∧
(∀ i j, B (0,i) (1,j) = a) ∧ (∀ i j, B (0,i) (2,j) = b) ∧
(∀ i j, B (1,i) (2,j) = c) ∧
(∀ i j, i ≠ j → B (1,i) (1,j) ≤ c) ∧
(∀ i j, i ≠ j → B (2,i) (2,j) ≤ c)) : False := by
obtain ⟨m, hm⟩ := exists_nat_gt (2 * D * (D - c) / (b-a)^2)
obtain ⟨B, hB, hd, h01, h02, h12, h11, h22⟩ := hex (m+1) (by omega)
have h := duplicated_triple_gap_bound (by omega : 0 < m+1) hB hd h01 h02 h12 h11 h22
have hp : 0 < (b-a)^2 := sq_pos_of_pos (sub_pos.mpr hab)
have hm' : (0 : ℝ) < (m+1 : ℕ) := by positivity
have hbound := (div_lt_iff₀ hp).mp hm
have hbig := (le_div_iff₀ hm').mp h
simp only [Nat.cast_add, Nat.cast_one] at hbig
nlinarith
lemma gg_duplicate_supported_of_two_le {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hb : ∀ ω i j, |B ω i j| ≤ D)
(hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D)
{n : ℕ} (hn : 2 ≤ n) {A : Fin n → Fin n → ℝ}
(hA : A ∈ (blockLaw B μ n).support) (p : Fin n) {t : ℝ}
(ht : ∀ i, i ≠ p → A i p ≤ t) :
∃ C ∈ (blockLaw B μ (n+1)).support,
(∀ i j : Fin n, C i.castSucc j.castSucc = A i j) ∧
(∀ i : Fin n, i ≠ p → C i.castSucc (Fin.last n) = A i p) ∧
C p.castSucc (Fin.last n) ≤ t := by
cases n with
| zero => omega
| succ a => exact gg_duplicate_supported hm hsym hwe hGG hb hpsd hdiag (by omega) hA p ht
def tripleLabel {n : ℕ} (i : Fin n) : Fin 3 := ⟨i.val % 3, Nat.mod_lt _ (by decide)⟩
lemma tripleLabel_castSucc {n : ℕ} (i : Fin n) : tripleLabel i.castSucc = tripleLabel i := rfl
lemma gg_supported_populations {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hb : ∀ ω i j, |B ω i j| ≤ D)
(hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D)
{Q : Fin 3 → Fin 3 → ℝ} (hQ : Q ∈ (blockLaw B μ 3).support)
{t : ℝ} (ht : ∀ i j, i ≠ j → Q i j ≤ t) :
∀ n, 3 ≤ n → ∃ A ∈ (blockLaw B μ n).support,
(∀ i j, i ≠ j → A i j ≤ t) ∧
(∀ i j, tripleLabel i ≠ tripleLabel j → A i j = Q (tripleLabel i) (tripleLabel j)) := by
have hQsym := real_posSemidef_symm (blockLaw_support_gram hm hpsd hdiag hQ).1
intro n hn
induction n, hn using Nat.le_induction with
| base =>
refine ⟨Q, hQ, ht, ?_⟩
intro i j _
have hh : ∀ i : Fin 3, tripleLabel i = i := fun i => Fin.ext (Nat.mod_eq_of_lt i.isLt)
rw [hh, hh]
| succ n hn ih =>
obtain ⟨A, hAs, hAo, hAc⟩ := ih
let p : Fin n := ⟨n % 3, (Nat.mod_lt n (by decide : 0 < 3)).trans_le hn⟩
have hp : tripleLabel p = tripleLabel (Fin.last n) := by
apply Fin.ext; exact Nat.mod_eq_of_lt (Nat.mod_lt n (by decide))
obtain ⟨C, hCs, hC0, hC1, hCp⟩ := gg_duplicate_supported_of_two_le
hm hsym hwe hGG hb hpsd hdiag (by omega) hAs p (fun i hi => hAo i p hi)
have hCsym := real_posSemidef_symm (blockLaw_support_gram hm hpsd hdiag hCs).1
refine ⟨C, hCs, ?_, ?_⟩
· intro i j
refine Fin.lastCases ?_ (fun ii => ?_) i
· refine Fin.lastCases ?_ (fun jj => ?_) j
· intro hij; exact (hij rfl).elim
· intro _
rw [hCsym]
by_cases hj : jj = p
· subst jj; exact hCp
· rw [hC1 jj hj]; exact hAo jj p hj
· refine Fin.lastCases ?_ (fun jj => ?_) j
· intro _
by_cases hi : ii = p
· subst ii; exact hCp
· rw [hC1 ii hi]; exact hAo ii p hi
· intro hij
rw [hC0]; exact hAo ii jj (fun he => hij (congrArg Fin.castSucc he))
· intro i j
refine Fin.lastCases ?_ (fun ii => ?_) i
· refine Fin.lastCases ?_ (fun jj => ?_) j
· intro hij; exact (hij rfl).elim
· intro hij
have hjp : tripleLabel jj ≠ tripleLabel p := by
intro he; apply hij; exact hp.symm.trans he.symm
have hjne : jj ≠ p := fun he => hjp (congrArg tripleLabel he)
rw [hCsym, hC1 jj hjne, hAc jj p hjp, hp, hQsym]
rfl
· refine Fin.lastCases ?_ (fun jj => ?_) j
· intro hij
have hip : tripleLabel ii ≠ tripleLabel p := by
intro he; apply hij; exact he.trans hp
have hine : ii ≠ p := fun he => hip (congrArg tripleLabel he)
rw [hC1 ii hine, hAc ii p hip, hp]
rfl
· intro hij
rw [hC0]; exact hAc ii jj hij
lemma gg_supported_triple_ordered {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hb : ∀ ω i j, |B ω i j| ≤ D)
(hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D)
{Q : Fin 3 → Fin 3 → ℝ} (hQ : Q ∈ (blockLaw B μ 3).support)
(horder : Q 0 2 ≤ Q 1 2) : Q 0 2 ≤ Q 0 1 := by
by_contra hn
have hlt := lt_of_not_ge hn
have hQsym := real_posSemidef_symm (blockLaw_support_gram hm hpsd hdiag hQ).1
have hQo : ∀ i j : Fin 3, i ≠ j → Q i j ≤ Q 1 2 := by
intro i j hij
fin_cases i <;> fin_cases j
· exact (hij rfl).elim
· exact hlt.le.trans horder
· exact horder
· exact (hQsym 1 0).le.trans (hlt.le.trans horder)
· exact (hij rfl).elim
· exact le_rfl
· exact (hQsym 2 0).le.trans horder
· exact (hQsym 2 1).le
· exact (hij rfl).elim
apply no_arbitrary_nonultrametric_duplicates hlt
intro m hmpos
obtain ⟨A, hAs, hAo, hAc⟩ := gg_supported_populations hm hsym hwe hGG hb hpsd hdiag
hQ hQo (3*m) (by omega)
let e : Fin 3 × Fin m → Fin (3*m) := fun x => ⟨3*x.2.val+x.1.val, by omega⟩
have he : ∀ i a, tripleLabel (e (i,a)) = i := by
intro i a
apply Fin.ext
dsimp [tripleLabel, e]
omega
have hei : Function.Injective e := by
intro x y hxy
have hv := congrArg Fin.val hxy
dsimp [e] at hv
apply Prod.ext <;> apply Fin.ext <;> omega
have hgram := blockLaw_support_gram hm hpsd hdiag hAs
refine ⟨Matrix.submatrix A e e, Matrix.PosSemidef.submatrix hgram.1 e,
fun _ => hgram.2 _, ?_, ?_, ?_, ?_, ?_⟩
· intro i j
change A (e (0,i)) (e (1,j)) = _
rw [hAc _ _ (by rw [he, he]; decide), he, he]
· intro i j
change A (e (0,i)) (e (2,j)) = _
rw [hAc _ _ (by rw [he, he]; decide), he, he]
· intro i j
change A (e (1,i)) (e (2,j)) = _
rw [hAc _ _ (by rw [he, he]; decide), he, he]
· intro i j hij
exact hAo _ _ (fun hh => hij (congrArg Prod.snd (hei hh)))
· intro i j hij
exact hAo _ _ (fun hh => hij (congrArg Prod.snd (hei hh)))
lemma array_entry_abs_le_diagonal {B : RealArray} {D : ℝ}
(hp : ∀ n, Matrix.PosSemidef (fun i j : Fin n => B i j))
(hd : ∀ i, B i i = D) (i j : ℕ) : |B i j| ≤ D := by
let n := max i j + 1
let ii : Fin n := ⟨i, by dsimp [n]; omega⟩
let jj : Fin n := ⟨j, by dsimp [n]; omega⟩
have hD : 0 ≤ D := (hp n).diag_nonneg (i := ii) |>.trans (hd i).le
have hs := psd_cauchy_schwarz (hp n) (Pi.single ii 1) (Pi.single jj 1)
simp [dotProduct, Matrix.mulVec, Pi.single_apply, ite_mul, mul_ite, hd] at hs
change B i j ^ 2 ≤ D * D at hs
apply abs_le.mpr
constructor <;> nlinarith [sq_nonneg (B i j - D), sq_nonneg (B i j + D)]
lemma gg_supported_triple_ultrametric {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D)
{Q : Fin 3 → Fin 3 → ℝ} (hQ : Q ∈ (blockLaw B μ 3).support) :
min (Q 0 2) (Q 1 2) ≤ Q 0 1 := by
have hb : ∀ ω i j, |B ω i j| ≤ D :=
fun ω => array_entry_abs_le_diagonal (hpsd ω) (hdiag ω)
by_cases ho : Q 0 2 ≤ Q 1 2
· rw [min_eq_left ho]
exact gg_supported_triple_ordered hm hsym hwe hGG hb hpsd hdiag hQ ho
· have ho' : Q 1 2 ≤ Q 0 2 := le_of_not_ge ho
rw [min_eq_right ho']
have hQs := blockLaw_support_swap hm hwe hQ 0 1
have hqsym := real_posSemidef_symm (blockLaw_support_gram hm hpsd hdiag hQ).1
have hh : (Equiv.swap (0 : Fin 3) 1) 2 = 2 := by decide
have h := gg_supported_triple_ordered hm hsym hwe hGG hb hpsd hdiag hQs
(by simpa only [Equiv.swap_apply_left, Equiv.swap_apply_right, hh] using ho')
simpa only [Equiv.swap_apply_left, Equiv.swap_apply_right, hh, hqsym 1 0] using h
theorem gg_ultrametric_triple {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D) :
∀ᵐ ω ∂μ, min (B ω 0 2) (B ω 1 2) ≤ B ω 0 1 := by
have hs : ∀ᵐ A ∂blockLaw B μ 3, A ∈ (blockLaw B μ 3).support :=
Measure.support_mem_ae
have ht : ∀ᵐ A ∂blockLaw B μ 3, min (A 0 2) (A 1 2) ≤ A 0 1 :=
hs.mono (fun _ h => gg_supported_triple_ultrametric hm hsym hwe hGG hpsd hdiag h)
exact (ae_map_iff (measurable_arrayBlock hm 3).aemeasurable
(measurableSet_le (by fun_prop) (by fun_prop))).mp ht
def IsUltrametricArray (b : RealArray) : Prop :=
∀ i j k, min (b i k) (b j k) ≤ b i j
lemma ultrametric_survival_rectangle {b : RealArray} (hs : ∀ i j, b i j = b j i)
(hu : IsUltrametricArray b) {n : ℕ} (t : Fin n → ℝ) (k : Fin n)
(hk : ∀ i, t i ≤ t k) :
(∀ i : Fin n, t i ≤ b i n) ↔
(∀ i : Fin n, t i ≤ b i k) ∧ t k ≤ b k n := by
constructor
· intro h
exact ⟨fun i => (le_min (h i) ((hk i).trans (h k))).trans (hu i k n), h k⟩
· rintro ⟨h, hkn⟩ i
have hh := hu i n k
rw [hs n k] at hh
exact (le_min (h i) ((hk i).trans hkn)).trans hh
lemma measurableSet_survival_compatible {n : ℕ} (t : Fin n → ℝ) (k : Fin n) :
MeasurableSet {b : Fin n → Fin n → ℝ | ∀ i, t i ≤ b i k} := by
simp only [Set.ofPred_forall]
exact MeasurableSet.iInter (fun i => measurableSet_le measurable_const (by fun_prop))
lemma gg_survival_extension {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hGG : HasGhirlandaGuerra B μ) (hs : ∀ᵐ ω ∂μ, ∀ i j, B ω i j = B ω j i)
(hu : ∀ᵐ ω ∂μ, IsUltrametricArray (B ω)) {n : ℕ} (hn : 2 ≤ n)
{A : Set (Fin n → Fin n → ℝ)} (hA : MeasurableSet A)
(t : Fin n → ℝ) (k : Fin n) (hk : ∀ i, t i ≤ t k) :
let A' := A ∩ {b : Fin n → Fin n → ℝ | ∀ i, t i ≤ b i k}
μ.real ((arrayBlock B n ⁻¹' A) ∩ {ω | ∀ i : Fin n, t i ≤ B ω i n}) =
(μ.real (arrayBlock B n ⁻¹' A') * μ.real {ω | t k ≤ B ω 0 1}) / n +
(∑ j ∈ Finset.univ.erase k,
μ.real ((arrayBlock B n ⁻¹' A') ∩ {ω | t k ≤ B ω k j})) / n := by
dsimp only
have he := hGG n hn k _ (hA.inter (measurableSet_survival_compatible t k))
(Set.Ici (t k)) measurableSet_Ici
simp only [Set.mem_Ici] at he
rw [← he]
apply measureReal_congr
filter_upwards [hs, hu] with ω hs hu
apply propext
change (arrayBlock B n ω ∈ A ∧ ∀ i : Fin n, t i ≤ B ω i n) ↔
((arrayBlock B n ω ∈ A ∧ ∀ i : Fin n, t i ≤ B ω i k) ∧ t k ≤ B ω k n)
rw [ultrametric_survival_rectangle hs hu t k hk]
tauto
lemma isCountablySpanning_real_Ici :
IsCountablySpanning (Set.range (Set.Ici : ℝ → Set ℝ)) := by
refine ⟨fun n => Set.Ici (-(n : ℝ)), fun n => ⟨_, rfl⟩, ?_⟩
apply Set.eq_univ_of_forall
intro x
obtain ⟨n, hn⟩ := exists_nat_gt (-x)
exact Set.mem_iUnion.mpr ⟨n, by change -(n : ℝ) ≤ x; linarith⟩
lemma measure_eq_of_upper_orthants {ι : Type*} [Fintype ι]
{μ ν : Measure (ι → ℝ)} [IsFiniteMeasure μ]
(h : ∀ t : ι → ℝ, μ {x | ∀ i, t i ≤ x i} = ν {x | ∀ i, t i ≤ x i})
(hU : μ Set.univ = ν Set.univ) : μ = ν := by
classical
let C : Set (Set (ι → ℝ)) := Set.pi Set.univ '' Set.pi Set.univ
(fun _ : ι => Set.range (Set.Ici : ℝ → Set ℝ))
have hgen : (inferInstance : MeasurableSpace (ι → ℝ)) = MeasurableSpace.generateFrom C := by
exact (generateFrom_eq_pi (fun _ => by
rw [← borel_eq_generateFrom_Ici]; exact BorelSpace.measurable_eq.symm)
(fun _ => isCountablySpanning_real_Ici)).symm
apply ext_of_generate_finite C hgen (IsPiSystem.pi (fun _ => isPiSystem_Ici)) ?_ hU
rintro _ ⟨s, hs, rfl⟩
have hs' : ∀ i, ∃ t : ℝ, Set.Ici t = s i := fun i => hs i (Set.mem_univ i)
choose t ht using hs'
have he : Set.pi Set.univ s = {x | ∀ i, t i ≤ x i} := by
ext x
simp only [← ht, Set.mem_pi, Set.mem_univ, Set.mem_Ici, forall_true_left, Set.mem_ofPred_eq]
rw [he]
exact h t
lemma finite_permutation_extending {ι β : Type*} [Fintype ι]
(f g : ι → β) (hf : Function.Injective f) (hg : Function.Injective g) :
∃ e : Equiv.Perm β, {b | e b ≠ b}.Finite ∧ ∀ i, e (f i) = g i := by
classical
let U : Finset β := Finset.univ.image f ∪ Finset.univ.image g
let f' : ι → U := fun i => ⟨f i, Finset.mem_union.mpr (Or.inl (Finset.mem_image.mpr ⟨i, Finset.mem_univ _, rfl⟩))⟩
let g' : ι → U := fun i => ⟨g i, Finset.mem_union.mpr (Or.inr (Finset.mem_image.mpr ⟨i, Finset.mem_univ _, rfl⟩))⟩
have hf' : Function.Injective f' := fun i j h => hf (congrArg Subtype.val h)
have hg' : Function.Injective g' := fun i j h => hg (congrArg Subtype.val h)
obtain ⟨σ, hσ⟩ := Equiv.Perm.exists_extending_pair f' g' hf' hg'
let emb : U ↪ β := Function.Embedding.subtype _
refine ⟨σ.viaFintypeEmbedding emb, ?_, ?_⟩
· apply U.finite_toSet.subset
intro b hb
by_contra h
apply hb
apply Equiv.Perm.viaFintypeEmbedding_apply_notMem_range
rintro ⟨a, rfl⟩
exact h a.2
· intro i
change σ.viaFintypeEmbedding emb (emb (f' i)) = emb (g' i)
rw [Equiv.Perm.viaFintypeEmbedding_apply_image, hσ]
lemma gg_ultrametric {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hm : Measurable B) (hsym : ∀ ω i j, B ω i j = B ω j i)
(hwe : WeaklyExchangeable B μ) (hGG : HasGhirlandaGuerra B μ)
{D : ℝ} (hpsd : ∀ ω n, Matrix.PosSemidef (arrayBlock B n ω))
(hdiag : ∀ ω i, B ω i i = D) :
∀ᵐ ω ∂μ, IsUltrametricArray (B ω) := by
have ht := gg_ultrametric_triple hm hsym hwe hGG hpsd hdiag
have hall : ∀ i j k, ∀ᵐ ω ∂μ, min (B ω i k) (B ω j k) ≤ B ω i j := by
intro i j k
by_cases hij : i = j
· subst j
apply ae_of_all
intro ω
have hb := array_entry_abs_le_diagonal (hpsd ω) (hdiag ω) i k
simpa only [min_self, hdiag] using (le_abs_self (B ω i k)).trans hb
by_cases hik : i = k
· subst k
exact ae_of_all _ (fun ω => by rw [hsym ω j i]; exact min_le_right _ _)
by_cases hjk : j = k
· subst k
exact ae_of_all _ (fun ω => min_le_left _ _)
let f : Fin 3 → ℕ := fun a => a.val
let g : Fin 3 → ℕ := ![i,j,k]
have hg : Function.Injective g := by
intro a b hab
fin_cases a <;> fin_cases b <;> simp_all [g]
obtain ⟨e, he, hef⟩ := finite_permutation_extending f g Fin.val_injective hg
have hh := (hwe e he).ae_mem_snd
(t := {b : RealArray | min (b 0 2) (b 1 2) ≤ b 0 1})
(measurableSet_le (by fun_prop) (by fun_prop)) ht
have he0 : e 0 = i := hef 0
have he1 : e 1 = j := hef 1
have he2 : e 2 = k := hef 2
simpa only [Set.mem_ofPred_eq, permuteArray, he0, he1, he2] using hh
exact ae_all_iff.mpr (fun i => ae_all_iff.mpr (fun j => ae_all_iff.mpr (hall i j)))
lemma blockLaw_measureReal_eq {Ω Ω' : Type*} [MeasurableSpace Ω] [MeasurableSpace Ω']
{B : Ω → RealArray} {C : Ω' → RealArray} {μ : Measure Ω} {ν : Measure Ω'}
(hm : Measurable B) (hm' : Measurable C) {n : ℕ}
(h : blockLaw B μ n = blockLaw C ν n)
{A : Set (Fin n → Fin n → ℝ)} (hA : MeasurableSet A) :
μ.real (arrayBlock B n ⁻¹' A) = ν.real (arrayBlock C n ⁻¹' A) := by
rw [← map_measureReal_apply (measurable_arrayBlock hm n) hA,
← map_measureReal_apply (measurable_arrayBlock hm' n) hA]
exact congrArg (fun η => η.real A) h
lemma gg_survival_measure_eq {Ω Ω' : Type*} [MeasurableSpace Ω] [MeasurableSpace Ω']
{B : Ω → RealArray} {C : Ω' → RealArray} {μ : Measure Ω} {ν : Measure Ω'}
[IsProbabilityMeasure μ] [IsProbabilityMeasure ν]
(hm : Measurable B) (hm' : Measurable C)
(hGG : HasGhirlandaGuerra B μ) (hGG' : HasGhirlandaGuerra C ν)
(hs : ∀ᵐ ω ∂μ, ∀ i j, B ω i j = B ω j i)
(hs' : ∀ᵐ ω ∂ν, ∀ i j, C ω i j = C ω j i)
(hu : ∀ᵐ ω ∂μ, IsUltrametricArray (B ω))
(hu' : ∀ᵐ ω ∂ν, IsUltrametricArray (C ω)) {n : ℕ} (hn : 2 ≤ n)
(h : blockLaw B μ n = blockLaw C ν n)
{A : Set (Fin n → Fin n → ℝ)} (hA : MeasurableSet A) (t : Fin n → ℝ) :
μ ((arrayBlock B n ⁻¹' A) ∩ {ω | ∀ i : Fin n, t i ≤ B ω i n}) =
ν ((arrayBlock C n ⁻¹' A) ∩ {ω | ∀ i : Fin n, t i ≤ C ω i n}) := by
classical
obtain ⟨k, _, hk⟩ := Finset.exists_max_image Finset.univ t
⟨⟨0, by omega⟩, Finset.mem_univ _⟩
have hk' : ∀ i, t i ≤ t k := fun i => hk i (Finset.mem_univ _)
apply (measureReal_eq_measureReal_iff).mp
rw [gg_survival_extension hGG hs hu hn hA t k hk',
gg_survival_extension hGG' hs' hu' hn hA t k hk']
have hcomp := hA.inter (measurableSet_survival_compatible t k)
have hp := blockLaw_measureReal_eq hm hm' h
(A := {b | t k ≤ b ⟨0, by omega⟩ ⟨1, by omega⟩})
(measurableSet_le measurable_const (by fun_prop))
change μ.real {ω | t k ≤ B ω 0 1} = ν.real {ω | t k ≤ C ω 0 1} at hp
rw [blockLaw_measureReal_eq hm hm' h hcomp, hp]
congr 2
apply Finset.sum_congr rfl
intro j _
exact blockLaw_measureReal_eq hm hm' h
(hcomp.inter (measurableSet_le measurable_const (show Measurable (fun b : Fin n → Fin n → ℝ => b k j) by fun_prop)))
lemma gg_joint_extension_law {Ω Ω' : Type*} [MeasurableSpace Ω] [MeasurableSpace Ω']
{B : Ω → RealArray} {C : Ω' → RealArray} {μ : Measure Ω} {ν : Measure Ω'}
[IsProbabilityMeasure μ] [IsProbabilityMeasure ν]
(hm : Measurable B) (hm' : Measurable C)
(hGG : HasGhirlandaGuerra B μ) (hGG' : HasGhirlandaGuerra C ν)
(hs : ∀ᵐ ω ∂μ, ∀ i j, B ω i j = B ω j i)
(hs' : ∀ᵐ ω ∂ν, ∀ i j, C ω i j = C ω j i)
(hu : ∀ᵐ ω ∂μ, IsUltrametricArray (B ω))
(hu' : ∀ᵐ ω ∂ν, IsUltrametricArray (C ω)) {n : ℕ} (hn : 2 ≤ n)
(h : blockLaw B μ n = blockLaw C ν n) :
μ.map (fun ω => (arrayBlock B n ω, fun i : Fin n => B ω i n)) =
ν.map (fun ω => (arrayBlock C n ω, fun i : Fin n => C ω i n)) := by
have hbm : Measurable (fun ω => (arrayBlock B n ω, fun i : Fin n => B ω i n)) :=
(measurable_arrayBlock hm n).prodMk (by fun_prop)
have hcm : Measurable (fun ω => (arrayBlock C n ω, fun i : Fin n => C ω i n)) :=
(measurable_arrayBlock hm' n).prodMk (by fun_prop)
apply Measure.ext_prod
intro A T hA hT
let μA := (μ.restrict (arrayBlock B n ⁻¹' A)).map (fun ω => fun i : Fin n => B ω i n)
let νA := (ν.restrict (arrayBlock C n ⁻¹' A)).map (fun ω => fun i : Fin n => C ω i n)
have hr : μA = νA := by
apply measure_eq_of_upper_orthants
· intro t
have ht : MeasurableSet {x : Fin n → ℝ | ∀ i, t i ≤ x i} := by
simp only [Set.ofPred_forall]
exact MeasurableSet.iInter (fun i => measurableSet_le measurable_const (by fun_prop))
dsimp [μA, νA]
rw [Measure.map_apply (by fun_prop) ht, Measure.map_apply (by fun_prop) ht,
Measure.restrict_apply ((by fun_prop : Measurable (fun ω => fun i : Fin n => B ω i n)) ht),
Measure.restrict_apply ((by fun_prop : Measurable (fun ω => fun i : Fin n => C ω i n)) ht)]
rw [Set.inter_comm, Set.inter_comm _ (arrayBlock C n ⁻¹' A)]
exact gg_survival_measure_eq hm hm' hGG hGG' hs hs' hu hu' hn h hA t
· dsimp [μA, νA]
simp only [Measure.map_apply (by fun_prop : Measurable (fun ω => fun i : Fin n => B ω i n)) MeasurableSet.univ,
Measure.map_apply (by fun_prop : Measurable (fun ω => fun i : Fin n => C ω i n)) MeasurableSet.univ,
Set.preimage_univ, Measure.restrict_apply MeasurableSet.univ, Set.univ_inter]
exact (measureReal_eq_measureReal_iff).mp (blockLaw_measureReal_eq hm hm' h hA)
have he := congrArg (fun η => η T) hr
dsimp [μA, νA] at he
rw [Measure.map_apply (by fun_prop) hT, Measure.map_apply (by fun_prop) hT,
Measure.restrict_apply ((by fun_prop : Measurable (fun ω => fun i : Fin n => B ω i n)) hT),
Measure.restrict_apply ((by fun_prop : Measurable (fun ω => fun i : Fin n => C ω i n)) hT)] at he
rw [Measure.map_apply hbm (hA.prod hT), Measure.map_apply hcm (hA.prod hT)]
change μ ((arrayBlock B n ⁻¹' A) ∩ ((fun ω => fun i : Fin n => B ω i n) ⁻¹' T)) =
ν ((arrayBlock C n ⁻¹' A) ∩ ((fun ω => fun i : Fin n => C ω i n) ⁻¹' T))
simpa only [Set.inter_comm] using he
def augmentArrayBlock (D : ℝ) (n : ℕ)
(p : (Fin n → Fin n → ℝ) × (Fin n → ℝ)) : Fin (n+1) → Fin (n+1) → ℝ :=
fun i j => if hi : i.val < n then
if hj : j.val < n then p.1 ⟨i.val, hi⟩ ⟨j.val, hj⟩ else p.2 ⟨i.val, hi⟩
else if hj : j.val < n then p.2 ⟨j.val, hj⟩ else D
lemma measurable_augmentArrayBlock (D : ℝ) (n : ℕ) : Measurable (augmentArrayBlock D n) := by
apply Measurable.of_eval
intro i
apply Measurable.of_eval
intro j
unfold augmentArrayBlock
split_ifs <;> fun_prop
lemma augmentArrayBlock_eq {b : RealArray} (hs : ∀ i j, b i j = b j i)
{D : ℝ} (hd : ∀ i, b i i = D) (n : ℕ) :
augmentArrayBlock D n ((fun i j : Fin n => b i j), fun i : Fin n => b i n) =
fun i j : Fin (n+1) => b i j := by
funext i j
unfold augmentArrayBlock
split_ifs with hi hj hj
· rfl
· have hj' : j.val = n := by omega
simp only [hj']
· have hi' : i.val = n := by omega
simp only [hi', hs n j]
· have hi' : i.val = n := by omega
have hj' : j.val = n := by omega
simp only [hi', hj', hd]
lemma gg_next_blockLaw_eq {Ω Ω' : Type*} [MeasurableSpace Ω] [MeasurableSpace Ω']
{B : Ω → RealArray} {C : Ω' → RealArray} {μ : Measure Ω} {ν : Measure Ω'}
[IsProbabilityMeasure μ] [IsProbabilityMeasure ν]
(hm : Measurable B) (hm' : Measurable C)
(hGG : HasGhirlandaGuerra B μ) (hGG' : HasGhirlandaGuerra C ν)
(hs : ∀ᵐ ω ∂μ, ∀ i j, B ω i j = B ω j i)
(hs' : ∀ᵐ ω ∂ν, ∀ i j, C ω i j = C ω j i)
(hu : ∀ᵐ ω ∂μ, IsUltrametricArray (B ω))
(hu' : ∀ᵐ ω ∂ν, IsUltrametricArray (C ω)) {D : ℝ}
(hd : ∀ᵐ ω ∂μ, ∀ i, B ω i i = D) (hd' : ∀ᵐ ω ∂ν, ∀ i, C ω i i = D)
{n : ℕ} (hn : 2 ≤ n) (h : blockLaw B μ n = blockLaw C ν n) :
blockLaw B μ (n+1) = blockLaw C ν (n+1) := by
have he := congrArg (Measure.map (augmentArrayBlock D n))
(gg_joint_extension_law hm hm' hGG hGG' hs hs' hu hu' hn h)
rw [Measure.map_map (measurable_augmentArrayBlock D n) (by
exact (measurable_arrayBlock hm n).prodMk (by fun_prop)),
Measure.map_map (measurable_augmentArrayBlock D n) (by
exact (measurable_arrayBlock hm' n).prodMk (by fun_prop))] at he
have hB : (fun ω => augmentArrayBlock D n (arrayBlock B n ω, fun i : Fin n => B ω i n)) =ᵐ[μ]
arrayBlock B (n+1) := by
filter_upwards [hs, hd] with ω hs hd
exact augmentArrayBlock_eq hs hd n
have hC : (fun ω => augmentArrayBlock D n (arrayBlock C n ω, fun i : Fin n => C ω i n)) =ᵐ[ν]
arrayBlock C (n+1) := by
filter_upwards [hs', hd'] with ω hs hd
exact augmentArrayBlock_eq hs hd n
exact (Measure.map_congr hB).symm.trans (he.trans (Measure.map_congr hC))
lemma blockLaw_two_eq_pair_map {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hm : Measurable B) {D : ℝ}
(hs : ∀ᵐ ω ∂μ, ∀ i j, B ω i j = B ω j i)
(hd : ∀ᵐ ω ∂μ, ∀ i, B ω i i = D) :
blockLaw B μ 2 = (μ.map (fun ω => B ω 0 1)).map
(fun r => fun i j : Fin 2 => if i = j then D else r) := by
rw [Measure.map_map (by
apply Measurable.of_eval
intro i
apply Measurable.of_eval
intro j
split_ifs <;> fun_prop) (by fun_prop)]
apply Measure.map_congr
filter_upwards [hs, hd] with ω hs hd
funext i j
fin_cases i <;> fin_cases j <;> simp [arrayBlock, hs, hd]
lemma blockLaw_restrict {Ω : Type*} [MeasurableSpace Ω]
{B : Ω → RealArray} {μ : Measure Ω} (hm : Measurable B) {m n : ℕ} (hmn : m ≤ n) :
(blockLaw B μ n).map (fun b => fun i j : Fin m => b (Fin.castLE hmn i) (Fin.castLE hmn j)) =
blockLaw B μ m := by
unfold blockLaw
rw [Measure.map_map (by fun_prop) (measurable_arrayBlock hm n)]
rfl
theorem gg_blockLaw_unique {Ω Ω' : Type*} [MeasurableSpace Ω] [MeasurableSpace Ω']
{B : Ω → RealArray} {C : Ω' → RealArray} {μ : Measure Ω} {ν : Measure Ω'}
[IsProbabilityMeasure μ] [IsProbabilityMeasure ν]
(hm : Measurable B) (hm' : Measurable C)
(hGG : HasGhirlandaGuerra B μ) (hGG' : HasGhirlandaGuerra C ν)
(hs : ∀ᵐ ω ∂μ, ∀ i j, B ω i j = B ω j i)
(hs' : ∀ᵐ ω ∂ν, ∀ i j, C ω i j = C ω j i)
(hu : ∀ᵐ ω ∂μ, IsUltrametricArray (B ω))
(hu' : ∀ᵐ ω ∂ν, IsUltrametricArray (C ω)) {D : ℝ}
(hd : ∀ᵐ ω ∂μ, ∀ i, B ω i i = D) (hd' : ∀ᵐ ω ∂ν, ∀ i, C ω i i = D)
(hp : μ.map (fun ω => B ω 0 1) = ν.map (fun ω => C ω 0 1)) :
∀ n, blockLaw B μ n = blockLaw C ν n := by
have h2 : blockLaw B μ 2 = blockLaw C ν 2 := by
rw [blockLaw_two_eq_pair_map hm hs hd, blockLaw_two_eq_pair_map hm' hs' hd', hp]
have hind : ∀ n, 2 ≤ n → blockLaw B μ n = blockLaw C ν n := by
intro n hn
induction n, hn using Nat.le_induction with
| base => exact h2
| succ n hn ih => exact gg_next_blockLaw_eq hm hm' hGG hGG' hs hs' hu hu' hd hd' hn ih
intro n
by_cases hn : 2 ≤ n
· exact hind n hn
· have hn' : n ≤ 2 := by omega
rw [← blockLaw_restrict hm hn', ← blockLaw_restrict hm' hn', h2]
lemma HasEntryGhirlandaGuerra.map {Ω E F : Type*} [MeasurableSpace Ω]
[MeasurableSpace E] [MeasurableSpace F] {B : Ω → ℕ → ℕ → E} {μ : Measure Ω}
(h : HasEntryGhirlandaGuerra B μ) {f : E → F} (hf : Measurable f) :
HasEntryGhirlandaGuerra (fun ω i j => f (B ω i j)) μ := by
intro n hn i A hA t ht
exact h n hn i ((fun b j k => f (b j k)) ⁻¹' A)
(hA.preimage (by fun_prop)) (f ⁻¹' t) (ht.preimage hf)
lemma HasEntryGhirlandaGuerra.real_map {Ω E : Type*} [MeasurableSpace Ω]
[MeasurableSpace E] {B : Ω → ℕ → ℕ → E} {μ : Measure Ω}
(h : HasEntryGhirlandaGuerra B μ) {f : E → ℝ} (hf : Measurable f) :
HasGhirlandaGuerra (fun ω i j => f (B ω i j)) μ := h.map hf
lemma gg_two_links_positive {Ω E : Type*} [MeasurableSpace Ω] [MeasurableSpace E]
{B : Ω → ℕ → ℕ → E} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hGG : HasEntryGhirlandaGuerra B μ) {A C : Set E}
(hA : MeasurableSet A) (hC : MeasurableSet C)
(hpA : 0 < μ.real {ω | B ω 0 1 ∈ A}) (hpC : 0 < μ.real {ω | B ω 0 1 ∈ C}) :
0 < μ.real ({ω | B ω 0 1 ∈ A} ∩ {ω | B ω 0 2 ∈ C}) := by
have h := hGG 2 (by omega) 0 {b : Fin 2 → Fin 2 → E | b 0 1 ∈ A}
(hA.preimage (by fun_prop)) C hC
change μ.real ({ω | B ω 0 1 ∈ A} ∩ {ω | B ω 0 2 ∈ C}) = _ at h
rw [h]
exact add_pos_of_pos_of_nonneg (div_pos (mul_pos hpA hpC) (by norm_num))
(div_nonneg (Finset.sum_nonneg (fun _ _ => measureReal_nonneg)) (by norm_num))
lemma ultrametric_no_crossing {r t : RealArray}
(hr : IsUltrametricArray r) (ht : IsUltrametricArray t)
(hs : IsUltrametricArray (fun i j => r i j + t i j))
(hrsym : ∀ i j, r i j = r j i) (htsym : ∀ i j, t i j = t j i) :
¬ (r 0 1 < r 0 2 ∧ t 0 2 < t 0 1) := by
rintro ⟨hR, hT⟩
have hr23 : r 1 2 = r 0 1 := by
have h1 := hr 0 1 2
have h2 := hr 1 2 0
rw [hrsym 1 0, hrsym 2 0, min_eq_left hR.le] at h2
have : r 1 2 ≤ r 0 1 := by
by_contra! hn
exact (lt_min hR hn).not_ge h1
exact le_antisymm this h2
have ht23 : t 1 2 = t 0 2 := by
have h1 := ht 0 2 1
have h2 := ht 1 2 0
rw [htsym 2 1] at h1
rw [htsym 1 0, htsym 2 0, min_eq_right hT.le] at h2
have : t 1 2 ≤ t 0 2 := by
by_contra! hn
exact (lt_min hT hn).not_ge h1
exact le_antisymm this h2
have hh := hs 1 2 0
simp only [hrsym 1 0, hrsym 2 0, htsym 1 0, htsym 2 0, hr23, ht23] at hh
exact (lt_min (by linarith) (by linarith)).not_ge hh
theorem jointGG_support_ordered {Ω : Type*} [MeasurableSpace Ω]
{R T : Ω → RealArray} {μ : Measure Ω} [IsProbabilityMeasure μ]
(hR : Measurable R) (hT : Measurable T)
(hGG : HasEntryGhirlandaGuerra (fun ω i j => (R ω i j, T ω i j)) μ)
(huR : ∀ᵐ ω ∂μ, IsUltrametricArray (R ω))
(huT : ∀ᵐ ω ∂μ, IsUltrametricArray (T ω))
(huS : ∀ᵐ ω ∂μ, IsUltrametricArray (fun i j => R ω i j + T ω i j))
(hsR : ∀ᵐ ω ∂μ, ∀ i j, R ω i j = R ω j i)
(hsT : ∀ᵐ ω ∂μ, ∀ i j, T ω i j = T ω j i) :
let ν := μ.map (fun ω => (R ω 0 1, T ω 0 1))
∀ x ∈ ν.support, ∀ y ∈ ν.support, x.1 < y.1 → x.2 ≤ y.2 := by
dsimp only
intro x hx y hy hxy
by_contra! hc
let a := (x.1+y.1)/2
let b := (x.2+y.2)/2
let A : Set (ℝ × ℝ) := {z | z.1 < a ∧ b < z.2}
let C : Set (ℝ × ℝ) := {z | a < z.1 ∧ z.2 < b}
have hAo : IsOpen A := (isOpen_lt continuous_fst continuous_const).inter
(isOpen_lt continuous_const continuous_snd)
have hCo : IsOpen C := (isOpen_lt continuous_const continuous_fst).inter
(isOpen_lt continuous_snd continuous_const)
have hm : Measurable (fun ω => (R ω 0 1, T ω 0 1)) := by fun_prop
have hyp : 0 < (μ.map (fun ω => (R ω 0 1,T ω 0 1))) A :=
(Measure.mem_support_iff_forall x).mp hx A (hAo.mem_nhds (by dsimp [A,a,b]; constructor <;> linarith))
have hxp : 0 < (μ.map (fun ω => (R ω 0 1,T ω 0 1))) C :=
(Measure.mem_support_iff_forall y).mp hy C (hCo.mem_nhds (by dsimp [C,a,b]; constructor <;> linarith))
rw [Measure.map_apply hm hAo.measurableSet] at hyp
rw [Measure.map_apply hm hCo.measurableSet] at hxp
have hp := gg_two_links_positive hGG hAo.measurableSet hCo.measurableSet
(ENNReal.toReal_pos hyp.ne' (measure_ne_top _ _))
(ENNReal.toReal_pos hxp.ne' (measure_ne_top _ _))
have hz : μ ({ω | (R ω 0 1,T ω 0 1) ∈ A} ∩
{ω | (R ω 0 2,T ω 0 2) ∈ C}) = 0 := by
apply measure_eq_zero_iff_ae_notMem.mpr
filter_upwards [huR,huT,huS,hsR,hsT] with ω hr ht hs hsr hst
rintro ⟨ha,hc⟩
exact ultrametric_no_crossing hr ht hs hsr hst
⟨ha.1.trans hc.1, hc.2.trans ha.2⟩
rw [measureReal_def, hz, ENNReal.toReal_zero] at hp
exact lt_irrefl 0 hp
end IsingPerceptron
end
end OAI