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Add lean source and binary files (part 60)
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import OAI.Computability.DepthThree.Hash
import Mathlib.Data.Finset.Max
import Mathlib.Data.Fintype.EquivFin
namespace OAI
namespace DepthThreeLowerBound.BinaryHash
open scoped BigOperators
theorem exists_last_nonzero {d : ℕ} (w : Data d) (hw : w ≠ 0) :
∃ s : Fin d, w s ≠ 0 ∧ ∀ a : Fin d, s.val < a.val → w a = 0 := by
classical
have hex : ∃ a : Fin d, w a ≠ 0 := by
by_contra h
apply hw
funext a
by_contra ha
exact h ⟨a, ha⟩
obtain ⟨a, ha⟩ := hex
obtain ⟨s, hs, hmax⟩ := Finset.exists_max_image
(Finset.univ.filter fun a : Fin d => w a ≠ 0) Fin.val
⟨a, by simp [ha]⟩
refine ⟨s, (Finset.mem_filter.mp hs).2, ?_⟩
intro b hsb
by_contra hb
have hle := hmax b (by simp [hb])
omega
noncomputable def lastIndex {d : ℕ} (w : Data d) (hw : w ≠ 0) : Fin d :=
(exists_last_nonzero w hw).choose
theorem lastIndex_nonzero {d : ℕ} (w : Data d) (hw : w ≠ 0) :
w (lastIndex w hw) ≠ 0 :=
(exists_last_nonzero w hw).choose_spec.1
theorem zero_after_lastIndex {d : ℕ} (w : Data d) (hw : w ≠ 0)
(a : Fin d) (ha : (lastIndex w hw).val < a.val) : w a = 0 :=
(exists_last_nonzero w hw).choose_spec.2 a ha
theorem data_dim_pos {d : ℕ} (w : Data d) (hw : w ≠ 0) : 0 < d :=
Nat.zero_le (lastIndex w hw).val |>.trans_lt (lastIndex w hw).isLt
def Nonpivot {d r : ℕ} (w : Data d) (hw : w ≠ 0) :=
{j : Fin (d + r - 1) // ¬ ∃ i : Fin r, sumIndex i (lastIndex w hw) = j}
noncomputable instance {d r : ℕ} (w : Data d) (hw : w ≠ 0) :
Fintype (Nonpivot (r := r) w hw) := by
classical
unfold Nonpivot
infer_instance
theorem card_nonpivot {d r : ℕ} (w : Data d) (hw : w ≠ 0) :
Fintype.card (Nonpivot (r := r) w hw) = d - 1 := by
classical
have hp : Fintype.card
{j : Fin (d + r - 1) // ∃ i : Fin r, sumIndex i (lastIndex w hw) = j} = r := by
let e : Fin r ≃
{j : Fin (d + r - 1) // ∃ i : Fin r, sumIndex i (lastIndex w hw) = j} :=
Equiv.ofInjective (fun i : Fin r => sumIndex i (lastIndex w hw))
(sumIndex_left_injective (lastIndex w hw))
simpa only [Fintype.card_fin] using (Fintype.card_congr e).symm
calc
Fintype.card (Nonpivot (r := r) w hw) = Fintype.card
{j : Fin (d + r - 1) // ¬ ∃ i : Fin r, sumIndex i (lastIndex w hw) = j} :=
Fintype.card_congr (Equiv.refl _)
_ = (d + r - 1) - r := by
rw [Fintype.card_subtype_compl, hp, Fintype.card_fin]
_ = d - 1 := by
have hd := data_dim_pos w hw
omega
def triangularMap {d r : ℕ} (w : Data d) (hw : w ≠ 0) (u : Seed d r) :
Output r × (Nonpivot (r := r) w hw → F2) :=
(hashF2 u w, fun j => u j.val)
theorem triangularMap_injective {d r : ℕ} (w : Data d) (hw : w ≠ 0) :
Function.Injective (triangularMap (r := r) w hw) := by
classical
intro u v huv
have hhash : hashF2 u w = hashF2 v w := congrArg Prod.fst huv
have hfree : (fun j : Nonpivot (r := r) w hw => u j.val) =
(fun j : Nonpivot (r := r) w hw => v j.val) := congrArg Prod.snd huv
have heq : ∀ n : ℕ, ∀ j : Fin (d + r - 1), j.val = n → u j = v j := by
intro n
induction n using Nat.strong_induction_on with
| h n ih =>
intro j hj
by_cases hp : ∃ i : Fin r, sumIndex i (lastIndex w hw) = j
· obtain ⟨i, rfl⟩ := hp
have hrow : (∑ a : Fin d,
(u (sumIndex i a) - v (sumIndex i a)) * w a) = 0 := by
calc
(∑ a : Fin d, (u (sumIndex i a) - v (sumIndex i a)) * w a) =
hashF2 u w i - hashF2 v w i := by
simp only [hashF2, sub_mul, Finset.sum_sub_distrib]
_ = 0 := sub_eq_zero.mpr (congrFun hhash i)
have hsingle : (∑ a : Fin d,
(u (sumIndex i a) - v (sumIndex i a)) * w a) =
(u (sumIndex i (lastIndex w hw)) -
v (sumIndex i (lastIndex w hw))) * w (lastIndex w hw) := by
apply Finset.sum_eq_single_of_mem (lastIndex w hw) (Finset.mem_univ _)
intro a _ ha
by_cases hlt : a.val < (lastIndex w hw).val
· have hidx : (sumIndex i a).val < n := by
simp only [sumIndex_val] at hj ⊢
omega
rw [ih (sumIndex i a).val hidx (sumIndex i a) rfl, sub_self, zero_mul]
· have hne : a.val ≠ (lastIndex w hw).val := by
intro he
exact ha (Fin.ext he)
have hgt : (lastIndex w hw).val < a.val := by omega
rw [zero_after_lastIndex w hw a hgt, mul_zero]
rw [hsingle] at hrow
exact sub_eq_zero.mp ((mul_eq_zero.mp hrow).resolve_right (lastIndex_nonzero w hw))
· exact congrFun hfree ⟨j, hp⟩
exact funext fun j => heq j.val j rfl
theorem triangularMap_bijective {d r : ℕ} (w : Data d) (hw : w ≠ 0) :
Function.Bijective (triangularMap (r := r) w hw) := by
classical
apply (Fintype.bijective_iff_injective_and_card _).2
refine ⟨triangularMap_injective w hw, ?_⟩
have hd := data_dim_pos w hw
simp only [Seed, Output, Fintype.card_prod, Fintype.card_fun,
F2, BinaryAlgebra.F2, ZMod.card, Fintype.card_fin, card_nonpivot]
rw [← pow_add]
congr 1
omega
noncomputable def triangularEquiv {d r : ℕ} (w : Data d) (hw : w ≠ 0) :
Seed d r ≃ Output r × (Nonpivot (r := r) w hw → F2) :=
Equiv.ofBijective (triangularMap w hw) (triangularMap_bijective w hw)
@[simp] theorem triangularEquiv_fst {d r : ℕ} (w : Data d) (hw : w ≠ 0)
(u : Seed d r) : (triangularEquiv w hw u).1 = hashF2 u w := rfl
@[simp] theorem triangularEquiv_snd {d r : ℕ} (w : Data d) (hw : w ≠ 0)
(u : Seed d r) (j : Nonpivot (r := r) w hw) :
(triangularEquiv w hw u).2 j = u j.val := rfl
end DepthThreeLowerBound.BinaryHash
end OAI