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Add lean source and binary files (part 41)
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import OAI.Combinatorics.ContingencyTables.Counting.CompanionOracleJointLaw
import OAI.Combinatorics.ContingencyTables.Transport.FiniteScaledDraw
import OAI.Combinatorics.ContingencyTables.Transport.RationalMapProducts
namespace OAI
/-! # Explicit integer intervals inside the companion evaluator bins -/
namespace ContingencyTables.CompanionOracleDensity
open CompanionFactorialApplication ForestAssignmentSplit GridBoundary ResidualMixture FirstSuccess
open scoped BigOperators Classical
noncomputable section
variable {I J : Type*} [Fintype I] [Fintype J]
def intervalSize (K N beta : ℕ) : ℕ :=
FairBits.endpoint K N (beta+1)-FairBits.endpoint K N beta
/-- Each offset is sent to its integer by adding the exact lower ceiling
endpoint. This is the actual source interval, not a cardinality-only choice. -/
def intervalEquiv (K N beta : ℕ) (hK : 0 < K) (hN : 0 < N) (hb : beta < K) :
Fin (intervalSize K N beta) ≃ {z : ℕ // z∈FairBits.fiber K N beta} where
toFun x := ⟨FairBits.endpoint K N beta+x.val,by
rw [FairBits.fiber_eq_interval hK hN hb,Finset.mem_Ico]
have hh := x.isLt
unfold intervalSize at hh
omega⟩
invFun x := ⟨x.val-FairBits.endpoint K N beta,by
have hx : FairBits.endpoint K N beta ≤ x.val ∧
x.val < FairBits.endpoint K N (beta+1) := by
simpa only [FairBits.fiber_eq_interval hK hN hb,Finset.mem_Ico] using x.property
unfold intervalSize
omega⟩
left_inv x := by apply Fin.ext; simp
right_inv x := by
apply Subtype.ext
have hx : FairBits.endpoint K N beta ≤ x.val ∧
x.val < FairBits.endpoint K N (beta+1) := by
simpa only [FairBits.fiber_eq_interval hK hN hb,Finset.mem_Ico] using x.property
dsimp only
omega
def binSize (A : Instance I J) (K : ℕ) (v : Grid (I := Fin (dimension A)) K)
(i : Fin (dimension A)) : ℕ :=
intervalSize K (freeRange A (index A i)) (naturalBin A v (index A i))
theorem binSize_positive (A : Instance I J) (K : ℕ) (hK : 0 < K)
(hW : 100*A.d*K ≤ A.W) (v : Grid (I := Fin (dimension A)) K) (i : Fin (dimension A)) :
0 < binSize A K v i := by
have hp := CompanionBinPopulation.coordinate_nonempty K (freeRange A (index A i)) A.d
(naturalBin A v (index A i)) hK A.hd (by
have hb := (A.hlarge (index A i).val.1 (index A i).val.2 (index A i).property.1).1
unfold freeRange
omega) (naturalBin_lt A v (index A i))
have hc := Finset.card_pos.mpr hp
have hN : 0 < freeRange A (index A i) := Nat.succ_pos _
rw [FairBits.fiber_card hK hN (naturalBin_lt A v (index A i))] at hc
exact hc
def binOffsetsEquiv (A : Instance I J) (K : ℕ) (hK : 0 < K)
(v : Grid (I := Fin (dimension A)) K) :
((i : Fin (dimension A)) → Fin (binSize A K v i)) ≃ {f // f∈integerFiber A K hK v} :=
(Equiv.piCongrRight (fun i => intervalEquiv K (freeRange A (index A i))
(naturalBin A v (index A i)) hK (Nat.succ_pos _) (naturalBin_lt A v (index A i)))).trans
((Equiv.piCongrLeft (fun t : FreeCell A.small A.T =>
{z : ℕ // z∈FairBits.fiber K (freeRange A t) (naturalBin A v t)}) (index A)).trans
(integerFiberEquiv A K hK v).symm)
def binOffsetValue (A : Instance I J) (K : ℕ) (hK : 0 < K)
(v : Grid (I := Fin (dimension A)) K)
(x : (i : Fin (dimension A)) → Fin (binSize A K v i)) : FreeIndex A.small A.T A.b :=
(binOffsetsEquiv A K hK v x).val
lemma binOffsetValue_mem (A : Instance I J) (K : ℕ) (hK : 0 < K)
(v : Grid (I := Fin (dimension A)) K)
(x : (i : Fin (dimension A)) → Fin (binSize A K v i)) :
binOffsetValue A K hK v x∈integerFiber A K hK v := (binOffsetsEquiv A K hK v x).property
def exactBinLaw (A : Instance I J) (K : ℕ) (hK : 0 < K) (hW : 100*A.d*K ≤ A.W)
(v : Grid (I := Fin (dimension A)) K) : RationalLaw (FreeIndex A.small A.T A.b) :=
mapLaw (piLaw (fun i => FairBits.uniformIntLaw (binSize A K v i) (binSize_positive A K hK hW v i)))
(binOffsetValue A K hK v)
def approximateBinLaw (A : Instance I J) (K : ℕ) (hK : 0 < K) (hW : 100*A.d*K ≤ A.W)
(v : Grid (I := Fin (dimension A)) K) (h : ℕ) : RationalLaw (FreeIndex A.small A.T A.b) :=
mapLaw (piLaw (fun i => FairBits.scaledLaw (binSize A K v i)
(FairBits.offsetBitLength (binSize A K v i) h A.d) (binSize_positive A K hK hW v i)))
(binOffsetValue A K hK v)
theorem exactBinLaw_mass (A : Instance I J) (K : ℕ) (hK : 0 < K) (hW : 100*A.d*K ≤ A.W)
(v : Grid (I := Fin (dimension A)) K) (f : FreeIndex A.small A.T A.b) :
(exactBinLaw A K hK hW v).mass f=
if integerBin A K hK f=v then 1/((integerFiber A K hK v).card:ℚ) else 0 := by
let : ∀ i : Fin (dimension A),Nonempty (Fin (binSize A K v i)) :=
fun i => ⟨⟨0,binSize_positive A K hK hW v i⟩⟩
let : Nonempty {f // f∈integerFiber A K hK v} :=
⟨⟨(integerFiber_nonempty A K hK hW v).choose,(integerFiber_nonempty A K hK hW v).choose_spec⟩⟩
have hi (i : Fin (dimension A)) :
FairBits.uniformIntLaw (binSize A K v i) (binSize_positive A K hK hW v i)=
uniformLaw (α := Fin (binSize A K v i)) := by
apply RationalLaw.ext
funext x
simp only [FairBits.uniformIntLaw,uniformLaw,uniformMass,Fintype.card_fin]
unfold exactBinLaw
simp_rw [hi]
rw [pi_uniformLaw]
change (mapLaw (uniformLaw (α := (i : Fin (dimension A)) → Fin (binSize A K v i)))
(fun x => (binOffsetsEquiv A K hK v x).val)).mass f=_
rw [←FairBits.map_equiv (binOffsetsEquiv A K hK v),FairBits.uniform_equiv]
change (∑ x : {g // g∈integerFiber A K hK v},
if x.val=f then (1:ℚ)/Fintype.card {g // g∈integerFiber A K hK v} else 0)=_
rw [Fintype.card_coe]
by_cases hf : integerBin A K hK f=v
· rw [ite_eq_left hf]
let g : {g // g∈integerFiber A K hK v} := ⟨f,by simp only [integerFiber,Finset.mem_filter,
Finset.mem_univ,true_and,hf]⟩
have he (x : {g // g∈integerFiber A K hK v}) : x.val=f ↔ x=g := by
exact ⟨fun h => Subtype.ext h,fun h => congrArg Subtype.val h⟩
simp_rw [he]
simp
· rw [ite_eq_right hf]
apply Finset.sum_eq_zero
intro x _
have hxf : x.val≠f := by
intro he
have hx := (Finset.mem_filter.mp x.property).2
rw [he] at hx
exact hf hx
simp only [hxf,ite_false]
/-- The explicitly shifted bounded quotient draws have a uniform error
bound for every bin, including the case of no free coordinates. -/
theorem approximateBinLaw_variation (A : Instance I J) (K : ℕ) (hK : 0 < K)
(hW : 100*A.d*K ≤ A.W) (v : Grid (I := Fin (dimension A)) K) (h : ℕ) :
variation (approximateBinLaw A K hK hW v h) (exactBinLaw A K hK hW v) ≤
(A.d:ℚ)/(2:ℚ)^(4*(h+A.d)) := by
apply (variation_map _ _ (binOffsetValue A K hK v)).trans
exact FairBits.dense_offset_product_variation (dimension A) h A.d (binSize A K v)
(binSize_positive A K hK hW v) (ForestScaledPenalty.free_card_le A)
end
end ContingencyTables.CompanionOracleDensity
end OAI