openAI-math-dataset / lean /OAI /Combinatorics /ContingencyTables /Transport /ComputedCompanionInstance.lean
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Add lean source and binary files (part 42)
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import OAI.Combinatorics.ContingencyTables.Rooted.ComputedLargeForest
import OAI.Combinatorics.ContingencyTables.Machines.TightenedInputProgram
import OAI.Combinatorics.ContingencyTables.Counting.CompanionTerminalMass
namespace OAI
/-! # A literal companion instance from binary bounded margins
All operational data are read from the executed endpoint, flow, and
maximum-forest programs. The existential endpoint witnesses are used
only in the terminal-mass proof, never to define an executed output.
-/
namespace ContingencyTables.ComputedCompanionInstance
open CompanionFactorialApplication ComputedTableTightening
open scoped BigOperators Classical
variable {m n : ℕ}
def baseline (r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(i : Fin m) (j : Fin n) : ℕ :=
((TightenedInputProgram.baseline (NetworkVertexCode.data r c b)).getD i.val []).getD j.val 0
lemma baseline_properties (hEK : PublishedEdmondsKarp.EdmondsKarp1972Theorem1)
(r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(hne : ∃ X,TableTightening.Feasible r c b X) :
HasMargins (baseline r c b) (newRows r c b) (newColumns r c b) ∧
∀ i j,baseline r c b i j≤newBounds r c b i j := by
obtain ⟨Y,hcode,hm,hb⟩ := TightenedInputProgram.baseline_correct hEK r c b hne
have he : baseline r c b=Y := by
funext i j
simp only [baseline,hcode,ResidualGraphProgram.natCode,
List.getD_eq_getElem?_getD,List.getElem?_ofFn,i.isLt,j.isLt,
dite_true,Option.getD_some,Fin.eta]
simpa only [he] using And.intro hm hb
/-- The package consumed by the proved factorial, terminal, and oracle
lemmas. Its forest and baseline are decoded executed values. -/
noncomputable def instanceData (hEK : PublishedEdmondsKarp.EdmondsKarp1972Theorem1)
(r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(hne : ∃ X,TableTightening.Feasible r c b X) (W : ℕ) (hW : 2≤W) :
Instance (Fin m) (Fin n) where
small:=ComputedLargeForest.small (newBounds r c b) W
b:=newBounds r c b
T:=ComputedLargeForest.computed (newRows r c b) (newColumns r c b) (newBounds r c b) W
hTG:=(ComputedLargeForest.computed_spec _ _ _ W (by omega)).1
hT:=(ComputedLargeForest.computed_spec _ _ _ W (by omega)).2.1
hmax:=(ComputedLargeForest.computed_spec _ _ _ W (by omega)).2.2
r:=fun i=>(newRows r c b i:ℤ)
c:=fun j=>(newColumns r c b j:ℤ)
X:=fun i j=>(baseline r c b i j:ℤ)
d:=1+m*n
W:=W
hd:=by omega
hcard:=by simp only [Fintype.card_fin]; omega
hW:=hW
hlarge:=by
intro i j hs
have hb : W≤newBounds r c b i j := by
simpa only [ComputedLargeForest.small,decide_eq_false_iff_not,not_lt] using hs
exact ⟨hb,(show 1≤W by omega).trans hb⟩
hsmall:=by
intro i j hs
simpa only [ComputedLargeForest.small,decide_eq_true_eq] using hs
hX:=by
intro i j
exact ⟨Nat.cast_nonneg _,by exact_mod_cast (baseline_properties hEK r c b hne).2 i j⟩
hXr:=by
intro i
exact_mod_cast (baseline_properties hEK r c b hne).1.1 i
hXc:=by
intro j
exact_mod_cast (baseline_properties hEK r c b hne).1.2 j
/-- Tightening preserves the count consumed by the terminal estimator. -/
theorem original_count (hEK : PublishedEdmondsKarp.EdmondsKarp1972Theorem1)
(r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(hne : ∃ X,TableTightening.Feasible r c b X) (W : ℕ) (hW : 2≤W) :
CompanionTerminalMass.tableCount (instanceData hEK r c b hne W hW)=
(Fintype.card (BoundedTable r c b):ℝ) := by
unfold CompanionTerminalMass.tableCount
have he := (ComputedTableTightening.count_eq hEK r c b hne).symm
calc
_ = (Fintype.card (BoundedTable (newRows r c b) (newColumns r c b)
(newBounds r c b)):ℝ) := by
apply congrArg (fun k : ℕ=>(k:ℝ))
exact Fintype.card_congr (Equiv.refl _)
_ = _ := congrArg (fun k : ℕ=>(k:ℝ)) he
/-- The endpoint assumption in the terminal proof follows from the
executed searches. The witnesses here are mathematical proof data. -/
noncomputable def endpoints (hEK : PublishedEdmondsKarp.EdmondsKarp1972Theorem1)
(r : Fin m→ℕ) (c : Fin n→ℕ) (b : Fin m→Fin n→ℕ)
(hne : ∃ X,TableTightening.Feasible r c b X) (W : ℕ) (hW : 2≤W) :
CompanionTerminalMass.Endpoints (instanceData hEK r c b hne W hW) := by
have hends:=ComputedTableTightening.attained_endpoints hEK r c b hne
let lo : ∀ i j,Fin m→Fin n→ℕ:=fun i j=>Classical.choose (hends.1 i j)
let hi : ∀ i j,Fin m→Fin n→ℕ:=fun i j=>Classical.choose (hends.2 i j)
have hlo (i : Fin m) (j : Fin n) := Classical.choose_spec (hends.1 i j)
have hhi (i : Fin m) (j : Fin n) := Classical.choose_spec (hends.2 i j)
refine { lowerTable:=fun t i j=>(lo t.val.1 t.val.2 i j:ℤ)
upperTable:=fun t i j=>(hi t.val.1 t.val.2 i j:ℤ)
lowerBounds:=?_,upperBounds:=?_,lowerRows:=?_,lowerColumns:=?_,
upperRows:=?_,upperColumns:=?_,lowerAttains:=?_,upperAttains:=?_ }
· intro t i j
exact ⟨Nat.cast_nonneg _,by exact_mod_cast (hlo t.val.1 t.val.2).2.1 i j⟩
· intro t i j
exact ⟨Nat.cast_nonneg _,by exact_mod_cast (hhi t.val.1 t.val.2).2.1 i j⟩
· intro t i
change (∑ j,(lo t.val.1 t.val.2 i j:ℤ))=(newRows r c b i:ℤ)
exact_mod_cast (hlo t.val.1 t.val.2).1.1 i
· intro t j
change (∑ i,(lo t.val.1 t.val.2 i j:ℤ))=(newColumns r c b j:ℤ)
exact_mod_cast (hlo t.val.1 t.val.2).1.2 j
· intro t i
change (∑ j,(hi t.val.1 t.val.2 i j:ℤ))=(newRows r c b i:ℤ)
exact_mod_cast (hhi t.val.1 t.val.2).1.1 i
· intro t j
change (∑ i,(hi t.val.1 t.val.2 i j:ℤ))=(newColumns r c b j:ℤ)
exact_mod_cast (hhi t.val.1 t.val.2).1.2 j
· intro t
exact_mod_cast (hlo t.val.1 t.val.2).2.2
· intro t
exact_mod_cast (hhi t.val.1 t.val.2).2.2
end ContingencyTables.ComputedCompanionInstance
end OAI