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Add lean source and binary files (part 46)
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import OAI.Combinatorics.LowSpaceSubsetSum.Streams.BinaryPivot
import OAI.Combinatorics.LowSpaceSubsetSum.Streams.FilteredStream
import Mathlib.Data.List.FinRange
namespace OAI
/-!
# Stored separator incidence lists and logarithmic interval queries
Each sampled family index occurs once in the stored list, even when two
sampled sets are equal. Preprocessing scans indices in increasing order.
Interval tests make two bounded binary searches in that stored list; they
never scan the family. The counting view is used only in the proofs.
-/
namespace LowSpaceSubsetSum.SeparatorIncidenceTable
variable {α β : Type*}
def table (family : Array β) (compatible : α → β → Bool) (x : α) : Array ℕ :=
(((List.finRange family.size).filter (fun j => compatible x family[j.val])).map Fin.val).toArray
theorem table_mem (family : Array β) (compatible : α → β → Bool) (x : α) (j : ℕ) :
j ∈ (table family compatible x).toList ↔
∃ h : j < family.size, compatible x family[j] = true := by
simp only [table, List.toList_toArray, List.mem_map, List.mem_filter, List.mem_finRange,
true_and]
constructor
· rintro ⟨i, hi, rfl⟩
exact ⟨i.isLt, hi⟩
· rintro ⟨hj, hc⟩
exact ⟨⟨j, hj⟩, hc, rfl⟩
theorem table_length (family : Array β) (compatible : α → β → Bool) (x : α) :
(table family compatible x).size ≤ family.size := by
simpa only [table, List.size_toArray, List.length_map, List.length_finRange] using
List.length_filter_le (fun j : Fin family.size => compatible x family[j.val])
(List.finRange family.size)
theorem table_sorted (family : Array β) (compatible : α → β → Bool) (x : α) :
(table family compatible x).toList.Pairwise (· < ·) := by
simpa only [table, List.toList_toArray, List.pairwise_map, Fin.lt_def] using
(List.pairwise_lt_finRange family.size).filter
(fun j => compatible x family[j.val])
theorem table_monotone (family : Array β) (compatible : α → β → Bool) (x : α) :
Monotone (fun i : Fin (table family compatible x).size =>
(table family compatible x)[i.val]) := by
intro i j hij
rcases Nat.eq_or_lt_of_le hij with heq | hlt
· have he : i = j := Fin.ext heq
rw [he]
· have h := (table_sorted family compatible x).rel_getElem_of_lt
(by simpa only [Array.length_toList] using i.isLt)
(by simpa only [Array.length_toList] using j.isLt) hlt
simpa only [Array.getElem_toList] using h.le
def lower (a : Array ℕ) (r : ℕ) : ℕ :=
(BinaryPivot.search (fun i : Fin a.size => decide (a[i.val] < r))
(FilteredStream.steps a.size)).lo
theorem lower_spec (a : Array ℕ) (hs : Monotone (fun i : Fin a.size => a[i.val]))
(r : ℕ) (i : Fin a.size) : a[i.val] < r ↔ i.val < lower a r := by
have hp : BinaryPivot.PrefixPredicate (fun i : Fin a.size => decide (a[i.val] < r)) := by
intro i j hij hj
exact decide_eq_true ((hs hij).trans_lt (of_decide_eq_true hj))
simpa only [lower, decide_eq_true_eq] using
(BinaryPivot.search_exact _ hp _ (FilteredStream.steps_sufficient a.size)).2 i
theorem lower_bounded (a : Array ℕ) (r : ℕ) : lower a r ≤ a.size :=
(BinaryPivot.search _ _).ordered.trans (BinaryPivot.search _ _).bounded
def hit (a : Array ℕ) (lo hi : ℕ) : Bool := decide (lower a lo < lower a hi)
theorem hit_iff (a : Array ℕ) (hs : Monotone (fun i : Fin a.size => a[i.val]))
(lo hi : ℕ) : hit a lo hi = true ↔ ∃ j ∈ a.toList, lo ≤ j ∧ j < hi := by
simp only [hit, decide_eq_true_eq]
constructor
· intro h
have hin : lower a lo < a.size := h.trans_le (lower_bounded a hi)
refine ⟨a[lower a lo], Array.getElem_mem_toList hin, ?_, ?_⟩
· have hspec := lower_spec a hs lo ⟨lower a lo, hin⟩
dsimp only at hspec
omega
· exact (lower_spec a hs hi ⟨lower a lo, hin⟩).mpr h
· rintro ⟨j, hj, hlo, hhi⟩
obtain ⟨i, hi', he⟩ := List.mem_iff_getElem.mp hj
have hin : i < a.size := by simpa using hi'
rw [Array.getElem_toList] at he
subst j
have hl := lower_spec a hs lo ⟨i, hin⟩
have hh := (lower_spec a hs hi ⟨i, hin⟩).mp hhi
dsimp only at hl hh
omega
def count (a : Array ℕ) (lo hi : ℕ) : ℕ :=
(a.toList.filter (fun j => decide (lo ≤ j ∧ j < hi))).length
theorem hit_count (a : Array ℕ) (hs : Monotone (fun i : Fin a.size => a[i.val]))
(lo hi : ℕ) : hit a lo hi = true ↔ 0 < count a lo hi := by
rw [hit_iff a hs, count, List.length_pos_iff_exists_mem]
simp only [List.mem_filter, decide_eq_true_eq]
theorem count_split (a : Array ℕ) (lo mid hi : ℕ) (hl : lo ≤ mid) (hh : mid ≤ hi) :
count a lo mid + count a mid hi = count a lo hi := by
let all := a.toList.filter (fun j => decide (lo ≤ j ∧ j < hi))
have hleft : all.filter (fun j => decide (j < mid)) =
a.toList.filter (fun j => decide (lo ≤ j ∧ j < mid)) := by
dsimp only [all]
rw [List.filter_filter]
congr 1
funext j
apply Bool.eq_iff_iff.mpr
simp only [Bool.and_eq_true, decide_eq_true_eq]
omega
have hright : all.filter (fun j => !decide (j < mid)) =
a.toList.filter (fun j => decide (mid ≤ j ∧ j < hi)) := by
dsimp only [all]
rw [List.filter_filter]
congr 1
funext j
apply Bool.eq_iff_iff.mpr
simp only [Bool.and_eq_true, Bool.not_eq_true', decide_eq_false_iff_not,
decide_eq_true_eq]
omega
have h := List.length_eq_length_filter_add (l := all) (fun j => decide (j < mid))
rw [hleft, hright] at h
exact h.symm
theorem count_zero_of_not_hit (a : Array ℕ)
(hs : Monotone (fun i : Fin a.size => a[i.val])) (lo hi : ℕ)
(h : hit a lo hi = false) : count a lo hi = 0 := by
apply Nat.eq_zero_of_not_pos
intro hp
have ht := (hit_count a hs lo hi).mpr hp
simp [h] at ht
/-- Both compatibility modes are stored for every local bit mask. -/
def preprocess (g : ℕ) (family : Array β) (compatible : Fin (2 ^ g) → β → Bool) :
Array (Array ℕ) := Array.ofFn (table family compatible)
theorem preprocess_storage (g : ℕ) (family : Array β)
(compatible : Fin (2 ^ g) → β → Bool) :
((preprocess g family compatible).toList.map Array.size).sum ≤ 2 ^ g * family.size := by
simp only [preprocess, Array.toList_ofFn, List.map_ofFn, List.sum_ofFn]
calc
_ ≤ ∑ _ : Fin (2 ^ g), family.size := Finset.sum_le_sum (fun i _ => table_length _ _ i)
_ = _ := by simp
/-- Two modes on four blocks have the manuscript's stated flat capacity. -/
theorem eight_table_capacity (g : ℕ) (families : Fin 8 → Array β)
(compatible : Fin 8 → Fin (2 ^ g) → β → Bool)
(hν : ∀ i, (families i).size ≤ 10 * 2 ^ g + 1) :
(∑ i : Fin 8, ((preprocess g (families i) (compatible i)).toList.map Array.size).sum) ≤
8 * 2 ^ g * (10 * 2 ^ g + 1) := by
calc
_ ≤ ∑ _ : Fin 8, 2 ^ g * (10 * 2 ^ g + 1) := by
apply Finset.sum_le_sum
intro i _
exact (preprocess_storage g (families i) (compatible i)).trans
(Nat.mul_le_mul_left _ (hν i))
_ = _ := by simp; ring
end LowSpaceSubsetSum.SeparatorIncidenceTable
end OAI