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Add lean source and binary files (part 47)
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import Mathlib.Data.List.Pairwise
import Mathlib.Data.List.Perm.Basic
import Mathlib.Data.Int.ModEq
import Mathlib.Tactic
namespace OAI
/-!
# The modular pivot order of a pair-stream row
These are the two cyclic orders in `lem:streams`. The list is an analysis view
of one sorted slice: implementation can traverse the slice by its pivot and
cursor, rather than allocating the reordered list. The permutation theorems
preserve occurrence multiplicity, including repeated residues.
-/
namespace LowSpaceSubsetSum
namespace ModularRows
variable {α : Type*}
def direct (P r : ℤ) (residue : α → ℤ) (xs : List α) : List α :=
xs.filter (fun x => decide (P - r ≤ residue x)) ++
xs.filter (fun x => decide (residue x < P - r))
def complementary (K : ℤ) (residue : α → ℤ) (xs : List α) : List α :=
(xs.filter (fun x => decide (residue x ≤ K))).reverse ++
(xs.filter (fun x => decide (K < residue x))).reverse
theorem direct_perm (P r : ℤ) (residue : α → ℤ) (xs : List α) :
(direct P r residue xs).Perm xs := by
simpa only [direct, ← decide_not, not_le] using
List.filter_append_perm (fun x => decide (P - r ≤ residue x)) xs
theorem complementary_perm (K : ℤ) (residue : α → ℤ) (xs : List α) :
(complementary K residue xs).Perm xs := by
apply ((List.reverse_perm _).append (List.reverse_perm _)).trans
simpa only [← decide_not, not_le] using List.filter_append_perm (fun x => decide (residue x ≤ K)) xs
theorem direct_wrapped {P r x : ℤ} (_hr : 0 ≤ r) (hrP : r < P)
(_hx : 0 ≤ x) (hxP : x < P) (hwrap : P - r ≤ x) :
(r + x) % P = r + x - P := by
rw [← Int.sub_emod_right (r + x) P]
exact Int.emod_eq_of_lt (by omega) (by omega)
theorem direct_unwrapped {P r x : ℤ} (hr : 0 ≤ r)
(hx : 0 ≤ x) (hwrap : x < P - r) : (r + x) % P = r + x :=
Int.emod_eq_of_lt (by omega) (by omega)
theorem complementary_low {P K x : ℤ} (_hK : 0 ≤ K) (hKP : K < P)
(hx : 0 ≤ x) (hsmall : x ≤ K) : (K - x) % P = K - x :=
Int.emod_eq_of_lt (by omega) (by omega)
theorem complementary_high {P K x : ℤ} (hK : 0 ≤ K) (_hKP : K < P)
(hxP : x < P) (hlarge : K < x) : (K - x) % P = K - x + P := by
rw [← Int.add_emod_right (K - x) P]
exact Int.emod_eq_of_lt (by omega) (by omega)
/-- Direct cyclic traversal is sorted by normalized pair residue. -/
theorem direct_sorted {P r : ℤ} (hr : 0 ≤ r) (hrP : r < P)
(residue : α → ℤ) (xs : List α)
(hbound : ∀ x ∈ xs, 0 ≤ residue x ∧ residue x < P)
(hsort : xs.Pairwise (fun x y => residue x ≤ residue y)) :
(direct P r residue xs).Pairwise
(fun x y => (r + residue x) % P ≤ (r + residue y) % P) := by
apply List.pairwise_append.mpr
refine ⟨?_, ?_, ?_⟩
· apply (hsort.filter (fun x => decide (P - r ≤ residue x))).imp_of_mem
intro x y hx hy hxy
obtain ⟨hxmem, hxwrap⟩ := List.mem_filter.mp hx
obtain ⟨hymem, hywrap⟩ := List.mem_filter.mp hy
have hxw : P - r ≤ residue x := of_decide_eq_true hxwrap
have hyw : P - r ≤ residue y := of_decide_eq_true hywrap
rw [direct_wrapped hr hrP (hbound x hxmem).1 (hbound x hxmem).2 hxw,
direct_wrapped hr hrP (hbound y hymem).1 (hbound y hymem).2 hyw]
omega
· apply (hsort.filter (fun x => decide (residue x < P - r))).imp_of_mem
intro x y hx hy hxy
obtain ⟨hxmem, hxwrap⟩ := List.mem_filter.mp hx
obtain ⟨hymem, hywrap⟩ := List.mem_filter.mp hy
rw [direct_unwrapped hr (hbound x hxmem).1 (of_decide_eq_true hxwrap),
direct_unwrapped hr (hbound y hymem).1 (of_decide_eq_true hywrap)]
omega
· intro x hx y hy
obtain ⟨hxmem, hxwrap⟩ := List.mem_filter.mp hx
obtain ⟨hymem, hywrap⟩ := List.mem_filter.mp hy
rw [direct_wrapped hr hrP (hbound x hxmem).1 (hbound x hxmem).2
(of_decide_eq_true hxwrap),
direct_unwrapped hr (hbound y hymem).1 (of_decide_eq_true hywrap)]
have := (hbound x hxmem).2
have := (hbound y hymem).1
omega
/-- Reverse cyclic traversal is sorted by the complementary residue. -/
theorem complementary_sorted {P K : ℤ} (hK : 0 ≤ K) (hKP : K < P)
(residue : α → ℤ) (xs : List α)
(hbound : ∀ x ∈ xs, 0 ≤ residue x ∧ residue x < P)
(hsort : xs.Pairwise (fun x y => residue x ≤ residue y)) :
(complementary K residue xs).Pairwise
(fun x y => (K - residue x) % P ≤ (K - residue y) % P) := by
apply List.pairwise_append.mpr
refine ⟨?_, ?_, ?_⟩
· apply List.pairwise_reverse.mpr
apply (hsort.filter (fun x => decide (residue x ≤ K))).imp_of_mem
intro x y hx hy hxy
obtain ⟨hxmem, hxsmall⟩ := List.mem_filter.mp hx
obtain ⟨hymem, hysmall⟩ := List.mem_filter.mp hy
rw [complementary_low hK hKP (hbound x hxmem).1 (of_decide_eq_true hxsmall),
complementary_low hK hKP (hbound y hymem).1 (of_decide_eq_true hysmall)]
omega
· apply List.pairwise_reverse.mpr
apply (hsort.filter (fun x => decide (K < residue x))).imp_of_mem
intro x y hx hy hxy
obtain ⟨hxmem, hxlarge⟩ := List.mem_filter.mp hx
obtain ⟨hymem, hylarge⟩ := List.mem_filter.mp hy
rw [complementary_high hK hKP (hbound x hxmem).2 (of_decide_eq_true hxlarge),
complementary_high hK hKP (hbound y hymem).2 (of_decide_eq_true hylarge)]
omega
· intro x hx y hy
obtain ⟨hxmem, hxsmall⟩ := List.mem_filter.mp (List.mem_reverse.mp hx)
obtain ⟨hymem, hylarge⟩ := List.mem_filter.mp (List.mem_reverse.mp hy)
rw [complementary_low hK hKP (hbound x hxmem).1 (of_decide_eq_true hxsmall),
complementary_high hK hKP (hbound y hymem).2 (of_decide_eq_true hylarge)]
have := (hbound x hxmem).1
have := (hbound y hymem).2
omega
/-- Filtering a row by the small modulus preserves its residue ordering. -/
theorem filtered_sorted (p c : ℤ) (weight residue : α → ℤ) (xs : List α)
(hsort : xs.Pairwise (fun x y => residue x ≤ residue y)) :
(xs.filter (fun x => decide (weight x % p = c % p))).Pairwise
(fun x y => residue x ≤ residue y) := hsort.filter _
end ModularRows
end LowSpaceSubsetSum
end OAI