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Add lean source and binary files (part 85)
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import Mathlib
namespace OAI
noncomputable section
open scoped BigOperators nonZeroDivisors
open LinearMap Submodule
open CategoryTheory CategoryTheory.Limits HomologicalComplex
namespace HahnWilson.RankMatching
variable {k : Type*} [Field k]
open scoped Classical
def Triangular (A : Matrix ℤ ℤ k) : Prop := ∀ l j, j < l → A l j = 0
def block (A : Matrix ℤ ℤ k) (l j : ℤ) : Matrix (Set.Icc l j) (Set.Icc l j) k :=
fun r c => A r c
noncomputable def blockRank (A : Matrix ℤ ℤ k) (l j : ℤ) : ℕ := (block A l j).rank
noncomputable def weight (A : Matrix ℤ ℤ k) (l j : ℤ) : ℤ :=
(blockRank A l j : ℤ) - blockRank A l (j - 1) - blockRank A (l + 1) j +
blockRank A (l + 1) (j - 1)
def Matched (A : Matrix ℤ ℤ k) (l j : ℤ) : Prop := weight A l j = 1
def OldUnmatched (A : Matrix ℤ ℤ k) (l j : ℤ) : Prop :=
blockRank A l (j - 1) = blockRank A (l + 1) (j - 1) ∧
blockRank A (l + 1) j = blockRank A (l + 1) (j - 1)
def PriorAgreement (A B : Matrix ℤ ℤ k) (l j : ℤ) : Prop :=
∀ r c, l ≤ r → r ≤ c → c ≤ j → c - r < j - l → A r c = B r c
noncomputable def matchingCount (A : Matrix ℤ ℤ k) (l j : ℤ) : ℕ := by
classical
exact ((Finset.Icc l j ×ˢ Finset.Icc l j).filter
(fun rc : ℤ × ℤ => Matched A rc.1 rc.2)).card
def column (A : Matrix ℤ ℤ k) (l j : ℤ) : ℤ → k :=
fun r => if l ≤ r then A r j else 0
def columnSpace (A : Matrix ℤ ℤ k) (l j : ℤ) : Submodule k (ℤ → k) :=
Submodule.span k (column A l '' Set.Iic j)
lemma column_zero (A : Matrix ℤ ℤ k) (hA : Triangular A) {l j : ℤ} (h : j < l) :
column A l j = 0 := by
ext r
by_cases hr : l ≤ r
· simp [column, hr, hA r j (lt_of_lt_of_le h hr)]
· simp [column, hr]
lemma columnSpace_eq_finite (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
columnSpace A l j = Submodule.span k (column A l '' Set.Icc l j) := by
apply le_antisymm
· apply Submodule.span_le.mpr
rintro _ ⟨c, hc, rfl⟩
by_cases hlc : l ≤ c
· exact Submodule.subset_span ⟨c, ⟨hlc, hc⟩, rfl⟩
· rw [column_zero A hA (lt_of_not_ge hlc)]
exact Submodule.zero_mem _
· exact Submodule.span_mono (Set.image_mono fun _ h => h.2)
lemma columnSpace_finite (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
FiniteDimensional k (columnSpace A l j) := by
rw [columnSpace_eq_finite A hA]
exact FiniteDimensional.span_of_finite k ((Set.finite_Icc l j).image _)
lemma columnSpace_step (A : Matrix ℤ ℤ k) (l j : ℤ) :
columnSpace A l j = columnSpace A l (j - 1) ⊔ Submodule.span k {column A l j} := by
have hset : Set.Iic j = insert j (Set.Iic (j - 1)) := by
ext c
simp only [Set.mem_Iic, Set.mem_insert_iff]
omega
simp only [columnSpace, hset, Set.image_insert_eq, Submodule.span_insert]
exact sup_comm _ _
lemma finrank_sup_singleton {V : Type*} [AddCommGroup V] [Module k V]
(S : Submodule k V) [FiniteDimensional k S] (v : V) :
Module.finrank k (S ⊔ Submodule.span k {v} : Submodule k V) =
Module.finrank k S + if v ∈ S then 0 else 1 := by
classical
by_cases hv : v ∈ S
· rw [ite_eq_left hv, add_zero, sup_eq_left.mpr (Submodule.span_le.mpr (by simpa using hv))]
· have hd := (Submodule.disjoint_span_singleton_of_notMem hv).eq_bot
have heq := Submodule.finrank_sup_add_finrank_inf_eq S (Submodule.span k {v})
have hn : v ≠ 0 := fun h => hv (h ▸ S.zero_mem)
rw [hd, finrank_bot, add_zero, finrank_span_singleton hn] at heq
simpa [hv] using heq
noncomputable def intervalExtend (l j : ℤ) : (Set.Icc l j → k) →ₗ[k] (ℤ → k) where
toFun v r := if h : l ≤ r ∧ r ≤ j then v ⟨r,h⟩ else 0
map_add' v w := by ext r; by_cases h : l ≤ r ∧ r ≤ j <;> simp [h]
map_smul' a v := by ext r; by_cases h : l ≤ r ∧ r ≤ j <;> simp [h]
lemma intervalExtend_injective (l j : ℤ) :
Function.Injective (intervalExtend (k := k) l j) := by
intro v w heq
ext r
have h := congrFun heq r
simpa [intervalExtend, r.property.1, r.property.2] using h
lemma intervalExtend_col (A : Matrix ℤ ℤ k) (hA : Triangular A)
(l j : ℤ) (c : Set.Icc l j) :
intervalExtend l j ((block A l j).col c) = column A l c := by
ext r
by_cases hr : l ≤ r ∧ r ≤ j
· simp [intervalExtend, column, hr, Matrix.col, block]
· by_cases hlr : l ≤ r
· have hjr : j < r := by simpa [Set.mem_Icc, hlr] using hr
simp [intervalExtend, column, hlr, not_le.mpr hjr, hA r c (lt_of_le_of_lt c.property.2 hjr)]
· simp [intervalExtend, column, hlr]
lemma columnSpace_eq_map (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
columnSpace A l j =
(Submodule.span k (Set.range (block A l j).col)).map (intervalExtend l j) := by
rw [columnSpace_eq_finite A hA, Submodule.map_span]
congr 1
ext v
constructor
· rintro ⟨c, hc, rfl⟩
refine ⟨(block A l j).col ⟨c,hc⟩, ⟨⟨c,hc⟩, rfl⟩, ?_⟩
exact intervalExtend_col A hA l j ⟨c,hc⟩
· rintro ⟨_, ⟨c, rfl⟩, rfl⟩
exact ⟨c, c.property, (intervalExtend_col A hA l j c).symm⟩
lemma blockRank_eq_finrank (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
blockRank A l j = Module.finrank k (columnSpace A l j) := by
rw [blockRank, Matrix.rank_eq_finrank_span_cols, columnSpace_eq_map A hA]
exact (Submodule.equivMapOfInjective (intervalExtend l j)
(intervalExtend_injective l j) _).finrank_eq
noncomputable def increment (A : Matrix ℤ ℤ k) (l j : ℤ) : ℕ :=
if column A l j ∈ columnSpace A l (j - 1) then 0 else 1
lemma blockRank_step (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
blockRank A l j = blockRank A l (j - 1) + increment A l j := by
let := columnSpace_finite A hA l (j - 1)
rw [blockRank_eq_finrank A hA, columnSpace_step, finrank_sup_singleton,
blockRank_eq_finrank A hA]
rfl
def rowCut (l : ℤ) : (ℤ → k) →ₗ[k] (ℤ → k) where
toFun v r := if l ≤ r then v r else 0
map_add' v w := by ext r; by_cases h : l ≤ r <;> simp [h]
map_smul' a v := by ext r; by_cases h : l ≤ r <;> simp [h]
lemma rowCut_column (A : Matrix ℤ ℤ k) {l l' : ℤ} (h : l ≤ l') (j : ℤ) :
rowCut l' (column A l j) = column A l' j := by
ext r
by_cases hr : l' ≤ r
· simp [rowCut, column, hr, le_trans h hr]
· simp [rowCut, column, hr]
lemma rowCut_columnSpace (A : Matrix ℤ ℤ k) {l l' : ℤ} (h : l ≤ l') (j : ℤ) :
columnSpace A l j ≤ (columnSpace A l' j).comap (rowCut l') := by
apply Submodule.span_le.mpr
rintro _ ⟨c, hc, rfl⟩
change rowCut l' (column A l c) ∈ columnSpace A l' j
rw [rowCut_column A h]
exact Submodule.subset_span ⟨c, hc, rfl⟩
lemma increment_antitone (A : Matrix ℤ ℤ k) (j : ℤ) :
Antitone (fun l => increment A l j) := by
intro l l' h
change increment A l' j ≤ increment A l j
unfold increment
split_ifs with h' h₀ h₀
· exact le_rfl
· exact Nat.zero_le _
· exfalso
apply h'
have hm := rowCut_columnSpace A h (j - 1) h₀
change rowCut l' (column A l j) ∈ columnSpace A l' (j - 1) at hm
simpa [rowCut_column A h] using hm
· exact le_rfl
lemma increment_le_one (A : Matrix ℤ ℤ k) (l j : ℤ) : increment A l j ≤ 1 := by
unfold increment
split_ifs <;> omega
lemma weight_eq_increment_sub (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
weight A l j = (increment A l j : ℤ) - increment A (l + 1) j := by
unfold weight
have h₁ := blockRank_step A hA l j
have h₂ := blockRank_step A hA (l + 1) j
omega
lemma weight_zero_or_one (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
weight A l j = 0 ∨ weight A l j = 1 := by
rw [weight_eq_increment_sub A hA]
have h₁ := increment_le_one A l j
have h₂ := increment_le_one A (l + 1) j
have h₃ := increment_antitone A j (show l ≤ l + 1 by omega)
dsimp only at h₃
omega
lemma matched_iff_increments (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
Matched A l j ↔ increment A l j = 1 ∧ increment A (l + 1) j = 0 := by
unfold Matched
rw [weight_eq_increment_sub A hA]
have h₁ := increment_le_one A l j
have h₂ := increment_le_one A (l + 1) j
omega
lemma column_unique (A : Matrix ℤ ℤ k) (hA : Triangular A) {l l' j : ℤ}
(h : Matched A l j) (h' : Matched A l' j) : l = l' := by
obtain ⟨hp, hn⟩ := (matched_iff_increments A hA l j).mp h
obtain ⟨hp', hn'⟩ := (matched_iff_increments A hA l' j).mp h'
rcases lt_trichotomy l l' with hlt | heq | hgt
· have hm := increment_antitone A j (show l + 1 ≤ l' by omega)
dsimp only at hm
omega
· exact heq
· have hm := increment_antitone A j (show l' + 1 ≤ l by omega)
dsimp only at hm
omega
def reflected (A : Matrix ℤ ℤ k) : Matrix ℤ ℤ k := fun l j => A (-j) (-l)
lemma triangular_reflected (A : Matrix ℤ ℤ k) (hA : Triangular A) :
Triangular (reflected A) := by
intro l j h
exact hA (-j) (-l) (by omega)
def negInterval (l j : ℤ) : Set.Icc l j ≃ Set.Icc (-j) (-l) where
toFun x := ⟨-x, by obtain ⟨h₁,h₂⟩ := x.property; constructor <;> omega⟩
invFun x := ⟨-x, by obtain ⟨h₁,h₂⟩ := x.property; constructor <;> omega⟩
left_inv x := by ext; simp
right_inv x := by ext; simp
lemma blockRank_reflected (A : Matrix ℤ ℤ k) (l j : ℤ) :
blockRank (reflected A) l j = blockRank A (-j) (-l) := by
have heq : block (reflected A) l j =
((block A (-j) (-l)).transpose).submatrix (negInterval l j) (negInterval l j) := rfl
rw [blockRank, heq, Matrix.rank_submatrix, Matrix.rank_transpose]
rfl
lemma weight_reflected (A : Matrix ℤ ℤ k) (l j : ℤ) :
weight (reflected A) l j = weight A (-j) (-l) := by
unfold weight
simp only [blockRank_reflected]
have h₁ : -(j - 1) = -j + 1 := by omega
have h₂ : -(l + 1) = -l - 1 := by omega
rw [h₁, h₂]
ring
lemma row_unique (A : Matrix ℤ ℤ k) (hA : Triangular A) {l j j' : ℤ}
(h : Matched A l j) (h' : Matched A l j') : j = j' := by
have hr : Matched (reflected A) (-j) (-l) := by
simpa only [Matched, weight_reflected, neg_neg] using h
have hr' : Matched (reflected A) (-j') (-l) := by
simpa only [Matched, weight_reflected, neg_neg] using h'
have hn := column_unique (reflected A) (triangular_reflected A hA) hr hr'
omega
lemma blockRank_zero (A : Matrix ℤ ℤ k) {l j : ℤ} (h : j < l) :
blockRank A l j = 0 := by
have heq : block A l j = 0 := by
ext r c
obtain ⟨h₁,h₂⟩ := r.property
omega
rw [blockRank, heq, Matrix.rank_zero]
lemma increment_zero (A : Matrix ℤ ℤ k) (hA : Triangular A) {l j : ℤ} (h : j < l) :
increment A l j = 0 := by
simp only [increment, column_zero A hA h, Submodule.zero_mem, ite_true]
lemma sum_interval_difference (f : ℤ → ℤ) (l j : ℤ) (h : l ≤ j + 1) :
(∑ r ∈ Finset.Icc l j, (f r - f (r + 1))) = f l - f (j + 1) := by
have hl : l - 1 ≤ j := by omega
induction j, hl using Int.leInduction with
| base => simp
| succ n hn ih =>
have heq : Finset.Icc l (n + 1) = insert (n + 1) (Finset.Icc l n) := by
ext r
simp only [Finset.mem_Icc, Finset.mem_insert]
omega
rw [heq, Finset.sum_insert (by simp), ih (by omega)]
ring
lemma sum_interval_predecessor (f : ℤ → ℤ) (l j : ℤ) (h : l ≤ j + 1) :
(∑ r ∈ Finset.Icc l j, (f r - f (r - 1))) = f j - f (l - 1) := by
have heq := sum_interval_difference (fun r => f (r - 1)) l j h
simp only [add_sub_cancel_right] at heq
rw [Finset.sum_sub_distrib] at heq ⊢
omega
lemma sum_weights (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
(∑ r ∈ Finset.Icc l j, ∑ c ∈ Finset.Icc l j, weight A r c) = blockRank A l j := by
by_cases h : l ≤ j
· rw [Finset.sum_comm]
calc
_ = ∑ c ∈ Finset.Icc l j, (increment A l c : ℤ) := by
apply Finset.sum_congr rfl
intro c hc
simp_rw [weight_eq_increment_sub A hA]
rw [sum_interval_difference _ l j (by omega)]
rw [increment_zero A hA (show c < j + 1 by have := (Finset.mem_Icc.mp hc).2; omega)]
simp
_ = blockRank A l j := by
have heq := sum_interval_predecessor (fun c => (blockRank A l c : ℤ)) l j (by omega)
have hz := blockRank_zero A (l := l) (j := l - 1) (by omega)
rw [hz, Nat.cast_zero, sub_zero] at heq
rw [← heq]
apply Finset.sum_congr rfl
intro c hc
have hs := blockRank_step A hA l c
omega
· have h' : j < l := lt_of_not_ge h
rw [Finset.Icc_eq_empty_of_lt h', Finset.sum_empty, blockRank_zero A h']
rfl
lemma rank_eq_count (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) :
blockRank A l j = matchingCount A l j := by
have hw : ∀ r c, weight A r c = if Matched A r c then (1 : ℤ) else 0 := by
intro r c
rcases weight_zero_or_one A hA r c with h | h
· simp [Matched, h]
· simp [Matched, h]
have hs := sum_weights A hA l j
simp_rw [hw] at hs
rw [← Finset.sum_product (Finset.Icc l j) (Finset.Icc l j)
(fun rc : ℤ × ℤ => if Matched A rc.1 rc.2 then (1 : ℤ) else 0)] at hs
rw [Finset.sum_boole] at hs
exact_mod_cast hs.symm
theorem rank_matching (A : Matrix ℤ ℤ k) (hA : Triangular A) :
(∀ l j, weight A l j = 0 ∨ weight A l j = 1) ∧
(∀ l j j', Matched A l j → Matched A l j' → j = j') ∧
(∀ l l' j, Matched A l j → Matched A l' j → l = l') ∧
(∀ l j, blockRank A l j = matchingCount A l j) := by
exact ⟨weight_zero_or_one A hA, fun _ _ _ => row_unique A hA,
fun _ _ _ => column_unique A hA, rank_eq_count A hA⟩
lemma increment_eq_zero_iff (A : Matrix ℤ ℤ k) (l j : ℤ) :
increment A l j = 0 ↔ column A l j ∈ columnSpace A l (j - 1) := by
simp [increment]
lemma increment_eq_one_iff (A : Matrix ℤ ℤ k) (l j : ℤ) :
increment A l j = 1 ↔ column A l j ∉ columnSpace A l (j - 1) := by
simp [increment]
lemma rowCut_map_columnSpace (A : Matrix ℤ ℤ k) {l l' : ℤ} (h : l ≤ l') (j : ℤ) :
(columnSpace A l j).map (rowCut l') = columnSpace A l' j := by
simp only [columnSpace, Submodule.map_span, Set.image_image]
congr 2
funext c
exact rowCut_column A h c
lemma columnSpace_supported (A : Matrix ℤ ℤ k) (l j : ℤ)
{v : ℤ → k} (hv : v ∈ columnSpace A l j) {r : ℤ} (hr : r < l) : v r = 0 := by
refine Submodule.span_induction ?_ ?_ ?_ ?_ hv
· rintro _ ⟨c, hc, rfl⟩
simp [column, not_le.mpr hr]
· rfl
· intro x y hx hy hx0 hy0
simp [hx0, hy0]
· intro a x hx hx0
simp [hx0]
lemma rowCut_injOn_of_equal_ranks (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ)
(heq : blockRank A l j = blockRank A (l + 1) j) :
Set.InjOn (rowCut (k := k) (l + 1)) (columnSpace A l j) := by
let := columnSpace_finite A hA l j
let := columnSpace_finite A hA (l + 1) j
let f : columnSpace A l j →ₗ[k] columnSpace A (l + 1) j :=
(rowCut (l + 1)).restrict (fun _ hv => rowCut_columnSpace A (by omega) j hv)
have hf : Function.Surjective f := by
intro v
have hm : (v : ℤ → k) ∈ (columnSpace A l j).map (rowCut (l + 1)) := by
rw [rowCut_map_columnSpace A (by omega)]
exact v.property
obtain ⟨w,hw,he⟩ := Submodule.mem_map.mp hm
exact ⟨⟨w,hw⟩, Subtype.ext he⟩
have hdim : Module.finrank k (columnSpace A l j) =
Module.finrank k (columnSpace A (l + 1) j) := by
simpa only [blockRank_eq_finrank A hA] using heq
have hi : Function.Injective f :=
(LinearMap.injective_iff_surjective_of_finrank_eq_finrank hdim).mpr hf
intro v hv w hw he
exact congrArg Subtype.val (hi (show f ⟨v,hv⟩ = f ⟨w,hw⟩ from Subtype.ext he))
lemma matched_oldUnmatched (A : Matrix ℤ ℤ k) (hA : Triangular A) {l j : ℤ}
(h : Matched A l j) : OldUnmatched A l j := by
have hr : Matched (reflected A) (-j) (-l) := by
simpa only [Matched, weight_reflected, neg_neg] using h
have hn := ((matched_iff_increments A hA l j).mp h).2
have hn' := ((matched_iff_increments (reflected A)
(triangular_reflected A hA) (-j) (-l)).mp hr).2
have hs := blockRank_step A hA (l + 1) j
have hs' := blockRank_step (reflected A) (triangular_reflected A hA) (-j + 1) (-l)
rw [hn', add_zero] at hs'
simp only [blockRank_reflected, neg_neg] at hs'
have heq₁ : -(-j + 1) = j - 1 := by omega
have heq₂ : -(-l - 1) = l + 1 := by omega
rw [heq₁, heq₂] at hs'
exact ⟨hs', by omega⟩
lemma block_eq_of_prior {A B : Matrix ℤ ℤ k} (hA : Triangular A) (hB : Triangular B)
{l j : ℤ} (hab : PriorAgreement A B l j) (L J : ℤ)
(hl : l ≤ L) (hj : J ≤ j) (hdepth : J - L < j - l) :
block A L J = block B L J := by
ext r c
change A r c = B r c
by_cases hrc : (r : ℤ) ≤ c
· apply hab r c (le_trans hl r.property.1) hrc (le_trans c.property.2 hj)
obtain ⟨hr₁,hr₂⟩ := r.property
obtain ⟨hc₁,hc₂⟩ := c.property
omega
· rw [hA r c (lt_of_not_ge hrc), hB r c (lt_of_not_ge hrc)]
lemma oldUnmatched_of_prior {A B : Matrix ℤ ℤ k} (hA : Triangular A) (hB : Triangular B)
{l j : ℤ} (hab : PriorAgreement A B l j) :
OldUnmatched A l j ↔ OldUnmatched B l j := by
have h₁ := block_eq_of_prior hA hB hab l (j - 1) (by omega) (by omega) (by omega)
have h₂ := block_eq_of_prior hA hB hab (l + 1) j (by omega) (by omega) (by omega)
have h₃ := block_eq_of_prior hA hB hab (l + 1) (j - 1) (by omega) (by omega) (by omega)
unfold OldUnmatched blockRank
rw [h₁,h₂,h₃]
lemma prior_columnSpace {A B : Matrix ℤ ℤ k} (hA : Triangular A) (hB : Triangular B)
{l j : ℤ} (hab : PriorAgreement A B l j) :
columnSpace A l (j - 1) = columnSpace B l (j - 1) := by
unfold columnSpace
congr 1
apply Set.image_congr
intro c hc
ext r
by_cases hr : l ≤ r
· by_cases hrc : r ≤ c
· simp only [column, ite_eq_left hr]
exact hab r c hr hrc (by have := hc; simp only [Set.mem_Iic] at this; omega) (by
have := hc; simp only [Set.mem_Iic] at this; omega)
· simp [column, hr, hA r c (lt_of_not_ge hrc), hB r c (lt_of_not_ge hrc)]
· simp [column, hr]
lemma prior_lower_column {A B : Matrix ℤ ℤ k} (hA : Triangular A) (hB : Triangular B)
{l j : ℤ} (hab : PriorAgreement A B l j) :
column A (l + 1) j = column B (l + 1) j := by
ext r
by_cases hr : l + 1 ≤ r
· by_cases hrj : r ≤ j
· simp only [column, ite_eq_left hr]
exact hab r j (by omega) hrj le_rfl (by omega)
· simp [column, hr, hA r j (lt_of_not_ge hrj), hB r j (lt_of_not_ge hrj)]
· simp [column, hr]
lemma oldUnmatched_lower_increment {A : Matrix ℤ ℤ k} (hA : Triangular A) {l j : ℤ}
(h : OldUnmatched A l j) : increment A (l + 1) j = 0 := by
have hs := blockRank_step A hA (l + 1) j
have heq := h.2
omega
lemma exceptional_exists (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ)
(hold : OldUnmatched A l j) :
∃ c : k, ∀ B : Matrix ℤ ℤ k, Triangular B → PriorAgreement A B l j →
(Matched B l j ↔ B l j ≠ c) := by
have hi0 := oldUnmatched_lower_increment hA hold
have hu : column A (l + 1) j ∈ columnSpace A (l + 1) (j - 1) :=
(increment_eq_zero_iff A (l + 1) j).mp hi0
have hm : column A (l + 1) j ∈ (columnSpace A l (j - 1)).map (rowCut (l + 1)) := by
rw [rowCut_map_columnSpace A (by omega)]
exact hu
obtain ⟨v,hv,hproj⟩ := Submodule.mem_map.mp hm
have hinj := rowCut_injOn_of_equal_ranks A hA l (j - 1) hold.1
refine ⟨v l, ?_⟩
intro B hB hab
have hS := prior_columnSpace hA hB hab
have hlow := prior_lower_column hA hB hab
have hmem : column B l j ∈ columnSpace B l (j - 1) ↔ B l j = v l := by
constructor
· intro hb
have hb' : column B l j ∈ columnSpace A l (j - 1) := by rwa [hS]
have he : rowCut (l + 1) (column B l j) = rowCut (l + 1) v := by
rw [rowCut_column B (show l ≤ l + 1 by omega), hproj, hlow]
have hc := hinj hb' hv he
have hf := congrFun hc l
simpa [column] using hf
· intro hc
have he : column B l j = v := by
ext r
rcases lt_trichotomy r l with hr | hr | hr
· simp [column, not_le.mpr hr, columnSpace_supported A l (j - 1) hv hr]
· subst r
simpa [column] using hc
· have hr1 : l + 1 ≤ r := by omega
have ht := congrFun (hproj.trans hlow) r
change (if l + 1 ≤ r then v r else 0) =
(if l + 1 ≤ r then B r j else 0) at ht
simp only [ite_eq_left hr1] at ht
simpa [column, show l ≤ r by omega] using ht.symm
rw [he, ← hS]
exact hv
have holdB := (oldUnmatched_of_prior hA hB hab).mp hold
have hiB := oldUnmatched_lower_increment hB holdB
simp only [matched_iff_increments B hB, hiB, and_true,
increment_eq_one_iff, hmem]
def cornerUpdate (A : Matrix ℤ ℤ k) (l j : ℤ) (c : k) : Matrix ℤ ℤ k :=
fun r s => if r = l ∧ s = j then c else A r s
lemma triangular_cornerUpdate (A : Matrix ℤ ℤ k) (hA : Triangular A) {l j : ℤ}
(hlj : l ≤ j) (c : k) : Triangular (cornerUpdate A l j c) := by
intro r s hrs
have hn : ¬ (r = l ∧ s = j) := by rintro ⟨rfl,rfl⟩; omega
simp [cornerUpdate, hn, hA r s hrs]
omit [Field k] in
lemma prior_cornerUpdate (A : Matrix ℤ ℤ k) (l j : ℤ) (c : k) :
PriorAgreement A (cornerUpdate A l j c) l j := by
intro r s hlr hrs hsj hd
have hn : ¬ (r = l ∧ s = j) := by rintro ⟨rfl,rfl⟩; omega
simp [cornerUpdate, hn]
theorem corner_rule (A : Matrix ℤ ℤ k) (hA : Triangular A) (l j : ℤ) (hlj : l ≤ j) :
(OldUnmatched A l j → ∃! c : k, ∀ B : Matrix ℤ ℤ k,
Triangular B → PriorAgreement A B l j →
(Matched B l j ↔ B l j ≠ c)) ∧
(¬ OldUnmatched A l j → ∀ B : Matrix ℤ ℤ k,
Triangular B → PriorAgreement A B l j → ¬ Matched B l j) := by
constructor
· intro hold
obtain ⟨c,hc⟩ := exceptional_exists A hA l j hold
refine ⟨c,hc,?_⟩
intro c' hc'
by_contra hne
let B := cornerUpdate A l j c'
have hB := triangular_cornerUpdate A hA hlj c'
have hp := prior_cornerUpdate A l j c'
have hm : Matched B l j := (hc B hB hp).mpr (by simpa [B, cornerUpdate] using hne)
have hf := (hc' B hB hp).mp hm
simp [B, cornerUpdate] at hf
· intro hold B hB hab hm
apply hold
exact (oldUnmatched_of_prior hA hB hab).mpr (matched_oldUnmatched B hB hm)
end HahnWilson.RankMatching
end
end OAI