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Add lean source and binary files (part 42)
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import OAI.Combinatorics.ContingencyTables.Rooted.RootedBooleanPhase
import OAI.Combinatorics.ContingencyTables.Rooted.RootedWarmStart
import OAI.Combinatorics.ContingencyTables.Rooted.RootedConcentration
import OAI.Combinatorics.ContingencyTables.Transport.FiniteLawMoments
import OAI.Combinatorics.ContingencyTables.Transport.FiniteChainSlowdown
import OAI.Combinatorics.ContingencyTables.Transport.RealPathApproximation
namespace OAI
/-! # Selected-root Boolean row law and full-history perturbation -/
namespace ContingencyTables.RootedBooleanPhase
open CompanionFactorialApplication CompanionOracleDensity CompanionWeightOracle
open CompanionRationalUpdates RootedOracleAcceptance
open CommonBasesFPRAS FirstSuccess FairBits TwoLiftStates GridBoundary ResidualMixture
open FiniteLawMoments RealKernelApproximation
open CompanionBooleanPhase (State proposal proposal_mass proposalBits proposal_codes stepBits stepWordEquiv
slowdown slowdown_bounds)
open CompanionConcentration (pairs_ne_nil)
open scoped BigOperators Classical
noncomputable section
private lemma word_probability {X Y : Type*} [Fintype X] [Fintype Y] [Nonempty X]
[DecidableEq Y] (draw : X → Y) (y : Y) :
uniformAverage (fun x => if draw x=y then (1:ℝ) else 0)=
((mapLaw (uniformLaw (α := X)) draw).mass y:ℝ) := by
rw [word_expectation draw (fun z => if z=y then (1:ℝ) else 0)]
simp [expectation]
private lemma independent_decision {A B C D : Type*}
[Fintype A] [Fintype B] [Fintype C] [Fintype D]
(P : A → Prop) (Q : B → Prop) (R : C → D → Prop)
[DecidablePred P] [DecidablePred Q] [∀ c d,Decidable (R c d)] :
uniformAverage (fun z : A×(B×(C×D)) =>
if P z.1 ∧ Q z.2.1 ∧ R z.2.2.1 z.2.2.2 then (1:ℝ) else 0)=
uniformAverage (fun a => if P a then (1:ℝ) else 0)*
uniformAverage (fun b => if Q b then (1:ℝ) else 0)*
uniformAverage (fun c => uniformAverage (fun d => if R c d then (1:ℝ) else 0)) := by
have he (z : A×(B×(C×D))) :
(if P z.1 ∧ Q z.2.1 ∧ R z.2.2.1 z.2.2.2 then (1:ℝ) else 0)=
(if P z.1 then 1 else 0)*
((if Q z.2.1 then 1 else 0)*(if R z.2.2.1 z.2.2.2 then 1 else 0)) := by
by_cases hp : P z.1 <;> by_cases hq : Q z.2.1 <;>
by_cases hr : R z.2.2.1 z.2.2.2 <;> simp [hp,hq,hr]
have hs : (∑ a : A,∑ b : B,∑ c : C,∑ d : D,
(if P a then (1:ℝ) else 0)*((if Q b then 1 else 0)*(if R c d then 1 else 0)))=
(∑ a : A,if P a then (1:ℝ) else 0)*(∑ b : B,if Q b then (1:ℝ) else 0)*
(∑ c : C,∑ d : D,if R c d then (1:ℝ) else 0) := by
symm
simp only [Finset.sum_mul,mul_assoc]
simp only [Finset.mul_sum]
simp only [he,uniformAverage,Fintype.sum_prod_type,Fintype.card_prod,Nat.cast_mul,
←Finset.sum_div]
rw [hs]
ring
private lemma lazy_probability :
uniformAverage (fun b : Fin 1 → Bool => if b 0=false then (1:ℝ) else 0)=1/2 := by
rw [uniformAverage_fin_succ]
simp only [Fin.cons_zero,uniformAverage_const]
norm_num [uniformAverage]
variable {I J : Type*} [Fintype I] [Fintype J]
/-- Every nontrivial output probability factors into its lazy bit,
unique neighbor code, and the actual rounded two-oracle acceptance. -/
theorem transition_mass (A : Instance I J) (R : RootedCompletion.Selection A.T) (C : ℕ) (hC : 0<C) (K j k : ℕ)
(hK : 1≤K) (hW : 100*A.d*K≤A.W) (hB : (K:ℝ)=binWidth A C)
(hj : j≤rationalHeight A C) (xi : ℚ) (hx0 : 0<xi) (hx1 : xi<1)
(v : Grid (I := Fin (dimension A)) K) (w : Pair A → Pair A → ℚ)
(hw : ∀ p q,0<w p q) (S T : State A) (hST : S≠T) :
((transitionLaw A R C K j k hK hW xi v w S).mass T:ℝ)=
if ExchangeAdjacent S.val T.val then
(1/(2*(2:ℝ)^proposalBits A))*
uniformAverage (fun b : WeightWord A C K j xi×WeightWord A C K j xi =>
(rationalThresholdMass k
(acceptance A R C K j hK hW xi v w S.val T.val b):ℝ))
else 0 := by
have hp : uniformAverage (fun b : Fin (proposalBits A) → Bool =>
if proposal A S b=some T then (1:ℝ) else 0)=
if ExchangeAdjacent S.val T.val then 1/(2:ℝ)^proposalBits A else 0 := by
rw [word_probability,proposal_mass]
split_ifs <;> simp
have ha (b : WeightWord A C K j xi×WeightWord A C K j xi) :
uniformAverage (fun coin : Fin k → Bool =>
if rationalThresholdAccept k
(acceptance A R C K j hK hW xi v w S.val T.val b) coin then (1:ℝ) else 0)=
(rationalThresholdMass k
(acceptance A R C K j hK hW xi v w S.val T.val b):ℝ) := by
exact rationalThreshold_expectation k _
(acceptance_bounds A R C hC K j hK hW hB hj xi hx0 hx1 v w hw S.val T.val b).1
(acceptance_bounds A R C hC K j hK hW hB hj xi hx0 hx1 v w hw S.val T.val b).2
calc
_ = uniformAverage (fun bits => if step A R C K j k hK hW xi v w S bits=T then (1:ℝ) else 0) :=
(word_probability _ T).symm
_ = uniformAverage (fun b : (Fin 1 → Bool)×((Fin (proposalBits A) → Bool)×
((WeightWord A C K j xi×WeightWord A C K j xi)×(Fin k → Bool))) =>
if b.1 0=false ∧ proposal A S b.2.1=some T ∧
rationalThresholdAccept k
(acceptance A R C K j hK hW xi v w S.val T.val b.2.2.1) b.2.2.2
then (1:ℝ) else 0) := by
simp_rw [step_eq_iff A R C K j k hK hW xi v w S T hST]
have he := uniformAverage_equiv (stepWordEquiv A C K j k xi)
(fun b : (Fin 1 → Bool)×((Fin (proposalBits A) → Bool)×
((WeightWord A C K j xi×WeightWord A C K j xi)×(Fin k → Bool))) =>
if b.1 0=false ∧ proposal A S b.2.1=some T ∧
rationalThresholdAccept k
(acceptance A R C K j hK hW xi v w S.val T.val b.2.2.1) b.2.2.2
then (1:ℝ) else 0)
convert he using 1
_ = _ := by
rw [independent_decision (fun b : Fin 1 → Bool => b 0=false)
(fun b : Fin (proposalBits A) → Bool => proposal A S b=some T)
(fun b coin => rationalThresholdAccept k
(acceptance A R C K j hK hW xi v w S.val T.val b) coin),lazy_probability,hp]
simp_rw [ha]
split_ifs <;> ring
/-- The exact target row is the source Metropolis chain, slowed by its
dyadic neighbor-code padding. The stationary distribution is unchanged. -/
def referenceChain (A : Instance I J) (R : RootedCompletion.Selection A.T) (j : ℕ) (hp : 0<Fintype.card (Labels A))
(w : Pair A → Pair A → ℚ) (hw : ∀ p q,0<w p q) : FiniteChain (State A) :=
metropolisChain pairs PairedLabels.fresh (pairs_ne_nil A hp) PairedLabels.cover
(fun p q => (w p q:ℝ)) (RootedAnnealing.weight A R j)
(fun p q => by exact_mod_cast hw p q) (RootedAnnealing.weight_positive A R j)
private lemma chain_eq {X : Type*} [Fintype X] (C D : FiniteChain X)
(hP : C.P=D.P) (hpi : C.π=D.π) : C=D := by
cases C
cases D
dsimp only at hP hpi
cases hP
cases hpi
rfl
/-- The degree completion used to prove the signature and concentration
theorems leaves every state and transition of the literal chain intact. -/
theorem referenceChain_eq_completed (A : Instance I J) (R : RootedCompletion.Selection A.T) (j : ℕ)
(hp : 0<Fintype.card (Labels A)) (w : Pair A → Pair A → ℚ)
(hw : ∀ p q,0<w p q) :
referenceChain A R j hp w hw=
metropolisChain pairs PairedLabels.fresh (pairs_ne_nil A hp) PairedLabels.cover
(fun p q => (w p q:ℝ))
(DegreeCompletion.completeDegree (RootedAnnealing.weight A R j)
(pairs : List ((Labels A×Bool)×(Labels A×Bool))).length)
(fun p q => by exact_mod_cast hw p q)
(DegreeCompletion.completeDegree_positive _ _ (RootedWarmStart.actual_degree A R j).1) := by
have he (U : State A) :
chainWeight pairs (fun p q => (w p q:ℝ))
(DegreeCompletion.completeDegree (RootedAnnealing.weight A R j)
(pairs : List ((Labels A×Bool)×(Labels A×Bool))).length) U.val=
chainWeight pairs (fun p q => (w p q:ℝ)) (RootedAnnealing.weight A R j) U.val := by
simp only [chainWeight,DegreeCompletion.completeDegree,
U.property.ncard PairedLabels.fresh PairedLabels.cover,ite_true]
apply chain_eq
· funext S T
dsimp only [referenceChain,metropolisChain,FiniteChain.ofMoves]
simp only [metropolisMove,he]
· funext S
dsimp only [referenceChain,metropolisChain,FiniteChain.ofMoves]
rw [ObservableBounds.chainTotal_completion _ _ _ PairedLabels.fresh PairedLabels.cover,he]
def targetChain (A : Instance I J) (R : RootedCompletion.Selection A.T) (j : ℕ) (hp : 0<Fintype.card (Labels A))
(w : Pair A → Pair A → ℚ) (hw : ∀ p q,0<w p q) : FiniteChain (State A) :=
FiniteChainSlowdown.slow (referenceChain A R j hp w hw) (slowdown A)
(by linarith [(slowdown_bounds A hp).1]) (slowdown_bounds A hp).2
theorem target_mass (A : Instance I J) (R : RootedCompletion.Selection A.T) (j : ℕ) (hp : 0<Fintype.card (Labels A))
(w : Pair A → Pair A → ℚ) (hw : ∀ p q,0<w p q)
(S T : State A) (hST : S≠T) :
(targetChain A R j hp w hw).P S T=
if ExchangeAdjacent S.val T.val then
(1/(2*(2:ℝ)^proposalBits A))*targetAcceptance A R j w S.val T.val else 0 := by
have hn : (Fintype.card (Labels A):ℝ)≠0 := by exact_mod_cast hp.ne'
have hs := targetWeight_positive A R j w hw S.val
have hm : targetAcceptance A R j w S.val T.val=
min (targetWeight A R j w S.val) (targetWeight A R j w T.val)/targetWeight A R j w S.val := by
unfold targetAcceptance
rw [←min_div_div_right hs.le,div_self hs.ne']
dsimp only [targetChain,FiniteChainSlowdown.slow,referenceChain,metropolisChain,FiniteChain.ofMoves]
simp only [hST,ite_false,add_zero,metropolisMove,PairedLabels.length]
by_cases ha : ExchangeAdjacent S.val T.val
· rw [ite_eq_left ha,ite_eq_left ha]
simp only [←targetWeight_eq,slowdown,hm]
field_simp [hn,hs.ne']
· simp [ha]
private lemma distance_le_off_diagonal {X : Type*} [Fintype X] [DecidableEq X]
(p q : X → ℝ) (x : X) (hmass : ∑ y,p y=∑ y,q y) :
distance p q≤∑ y∈Finset.univ.erase x,|p y-q y| := by
have ht : (∑ y∈Finset.univ.erase x,(p y-q y))+(p x-q x)=0 := by
rw [Finset.sum_erase_add _ _ (Finset.mem_univ x),Finset.sum_sub_distrib,hmass,sub_self]
have hd : p x-q x= -(∑ y∈Finset.univ.erase x,(p y-q y)) := by linarith
have hb := Finset.abs_sum_le_sum_abs (fun y => p y-q y) (Finset.univ.erase x)
have he := Finset.sum_erase_add (Finset.univ : Finset X) (fun y => |p y-q y|)
(Finset.mem_univ x)
rw [hd,abs_neg] at he
unfold distance
linarith
private lemma average_abs {X : Type*} [Fintype X] (f : X → ℝ) :
|uniformAverage f|≤uniformAverage (fun x => |f x|) := by
unfold uniformAverage
rw [abs_div,abs_of_nonneg (show (0:ℝ)≤Fintype.card X from Nat.cast_nonneg _)]
exact div_le_div_of_nonneg_right (Finset.abs_sum_le_sum_abs f Finset.univ)
(Nat.cast_nonneg _)
/-- The complete transition row loses at most half the acceptance error.
The diagonal is controlled by conservation of probability, rather than
an additional independent error assumption. -/
theorem row_distance (A : Instance I J) (R : RootedCompletion.Selection A.T) (C : ℕ) (hC : 0<C) (K j k : ℕ)
(hK : 1≤K) (hW : 100*A.d*K≤A.W) (hB : (K:ℝ)=binWidth A C)
(hj : j≤rationalHeight A C) (xi : ℚ) (hx0 : 0<xi) (hx1 : xi≤1/4)
(hPL : PublishedInputs.FiniteBoxPrekopaLeindler (dimension A))
(hCheeger : PublishedInputs.FiniteCheeger (Grid (I := Fin (dimension A)) K))
(v : Grid (I := Fin (dimension A)) K) (hp : 0<Fintype.card (Labels A))
(w : Pair A → Pair A → ℚ) (hw : ∀ p q,0<w p q) (S : State A) :
distance (fun T => ((transitionLaw A R C K j k hK hW xi v w S).mass T:ℝ))
((targetChain A R j hp w hw).P S)≤(6*(xi:ℝ)+1/(2:ℝ)^k)/2 := by
let e : ℝ := 6*(xi:ℝ)+1/(2:ℝ)^k
let a : ℝ := 1/(2*(2:ℝ)^proposalBits A)
have he : 0≤e := by dsimp only [e]; positivity
have ha : 0≤a := by dsimp only [a]; positivity
have hpnt (T : State A) (hST : S≠T) :
|((transitionLaw A R C K j k hK hW xi v w S).mass T:ℝ)-
(targetChain A R j hp w hw).P S T|≤
if ExchangeAdjacent S.val T.val then a*e else 0 := by
rw [transition_mass A R C hC K j k hK hW hB hj xi hx0
(by linarith) v w hw S T hST,target_mass A R j hp w hw S T hST]
by_cases h : ExchangeAdjacent S.val T.val
· simp only [h,ite_true]
rw [←mul_sub,abs_mul,abs_of_nonneg ha]
apply mul_le_mul_of_nonneg_left _ ha
rw [←uniformAverage_sub_const]
exact (average_abs _).trans
(average_acceptance_error A R C hC K j k hK hW hB hj xi hx0 hx1
hPL hCheeger v w hw S.val T.val)
· simp [h]
have hm : (∑ T,((transitionLaw A R C K j k hK hW xi v w S).mass T:ℝ))=
∑ T,(targetChain A R j hp w hw).P S T := by
rw [(targetChain A R j hp w hw).stochastic]
exact_mod_cast (transitionLaw A R C K j k hK hW xi v w S).total
have hc : ((Finset.univ.filter (fun T : State A => ExchangeAdjacent S.val T.val)).card:ℝ)≤
(2:ℝ)^proposalBits A := by
have hh := proposal_codes A S
rw [Fintype.card_subtype] at hh
exact_mod_cast hh
calc
_ ≤ ∑ T∈Finset.univ.erase S,
|((transitionLaw A R C K j k hK hW xi v w S).mass T:ℝ)-
(targetChain A R j hp w hw).P S T| := distance_le_off_diagonal _ _ S hm
_ ≤ ∑ T∈Finset.univ.erase S,
if ExchangeAdjacent S.val T.val then a*e else 0 := by
apply Finset.sum_le_sum
intro T hT
exact hpnt T (Finset.mem_erase.mp hT).1.symm
_ ≤ ∑ T : State A,if ExchangeAdjacent S.val T.val then a*e else 0 := by
apply Finset.sum_le_sum_of_subset_of_nonneg (Finset.erase_subset _ _)
intro T _ _
split_ifs <;> positivity
_ = ((Finset.univ.filter (fun T : State A => ExchangeAdjacent S.val T.val)).card:ℝ)*(a*e) := by
rw [←Finset.sum_filter]
simp
_ ≤ (2:ℝ)^proposalBits A*(a*e) := mul_le_mul_of_nonneg_right hc (mul_nonneg ha he)
_ = e/2 := by dsimp only [a]; field_simp
def pathLaw (A : Instance I J) (R : RootedCompletion.Selection A.T) (C K j k N n : ℕ)
(hK : 1≤K) (hW : 100*A.d*K≤A.W) (xi : ℚ)
(v : Grid (I := Fin (dimension A)) K) (w : Pair A → Pair A → ℚ) (S : State A) :
RationalLaw (PathState (State A) N) :=
walkLaw (liftRational (transitionLaw A R C K j k hK hW xi v w)
(fun a : PathState (State A) N => pathRead a)
(fun (a : PathState (State A) N) (T : State A) => pathPut a T)) (pathInitial N S) n
def targetPathMass (A : Instance I J) (R : RootedCompletion.Selection A.T) (j : ℕ) (hp : 0<Fintype.card (Labels A))
(w : Pair A → Pair A → ℚ) (hw : ∀ p q,0<w p q) (N n : ℕ) (S : State A) :
PathState (State A) N → ℝ :=
((liftKernel (targetChain A R j hp w hw).kernel
(fun a : PathState (State A) N => pathRead a)
(fun (a : PathState (State A) N) (T : State A) => pathPut a T)).power n).P (pathInitial N S)
/-- The error controls the whole recorded phase history, not merely its
last state. Every step uses a disjoint fresh oracle/acceptance word. -/
theorem path_distance_bound (A : Instance I J) (R : RootedCompletion.Selection A.T) (C : ℕ) (hC : 0<C) (K j k : ℕ)
(hK : 1≤K) (hW : 100*A.d*K≤A.W) (hB : (K:ℝ)=binWidth A C)
(hj : j≤rationalHeight A C) (xi : ℚ) (hx0 : 0<xi) (hx1 : xi≤1/4)
(hPL : PublishedInputs.FiniteBoxPrekopaLeindler (dimension A))
(hCheeger : PublishedInputs.FiniteCheeger (Grid (I := Fin (dimension A)) K))
(v : Grid (I := Fin (dimension A)) K) (hp : 0<Fintype.card (Labels A))
(w : Pair A → Pair A → ℚ) (hw : ∀ p q,0<w p q) (N n : ℕ) (S : State A) :
distance (X := PathState (State A) N)
(fun b : PathState (State A) N => ((pathLaw A R C K j k N n hK hW xi v w S).mass b:ℝ))
(targetPathMass A R j hp w hw N n S)≤n*((6*(xi:ℝ)+1/(2:ℝ)^k)/2) := by
unfold pathLaw targetPathMass
apply walk_distance
intro a
apply (lifted_row_distance (transitionLaw A R C K j k hK hW xi v w)
(targetChain A R j hp w hw).kernel
(fun a : PathState (State A) N => pathRead a)
(fun (a : PathState (State A) N) (T : State A) => pathPut a T) a).trans
exact row_distance A R C hC K j k hK hW hB hj xi hx0 hx1 hPL hCheeger v hp w hw (pathRead a)
/-- The same finite step word records the newly sampled state, so the
history law is physically realized by the concatenated step words. -/
def recordedWalk (A : Instance I J) (R : RootedCompletion.Selection A.T) (C K j k N n : ℕ)
(hK : 1≤K) (hW : 100*A.d*K≤A.W) (xi : ℚ)
(v : Grid (I := Fin (dimension A)) K) (w : Pair A → Pair A → ℚ) (S : State A)
(bits : Fin (n*stepBits A C K j k xi) → Bool) : PathState (State A) N :=
wordWalk (fun a b => pathPut a (step A R C K j k hK hW xi v w (pathRead a) b))
(pathInitial N S) n (oracleWalkWordEquiv n (stepBits A C K j k xi) bits)
theorem recordedWalk_law (A : Instance I J) (R : RootedCompletion.Selection A.T) (C K j k N n : ℕ)
(hK : 1≤K) (hW : 100*A.d*K≤A.W) (xi : ℚ)
(v : Grid (I := Fin (dimension A)) K) (w : Pair A → Pair A → ℚ) (S : State A) :
mapLaw (uniformLaw (α := Fin (n*stepBits A C K j k xi) → Bool))
(recordedWalk A R C K j k N n hK hW xi v w S)=
walkLaw (liftRational (transitionLaw A R C K j k hK hW xi v w) pathRead pathPut)
(pathInitial N S) n := by
unfold recordedWalk
rw [←map_equiv (oracleWalkWordEquiv n (stepBits A C K j k xi)),uniform_equiv]
rw [show mapLaw (uniformLaw (α := Fin n → Fin (stepBits A C K j k xi) → Bool))
(wordWalk (fun a b => pathPut a (step A R C K j k hK hW xi v w (pathRead a) b))
(pathInitial N S) n)=wordWalkLaw
(fun a b => pathPut a (step A R C K j k hK hW xi v w (pathRead a) b))
(pathInitial N S) n from rfl,wordWalkLaw_eq]
apply congrArg (fun Q => walkLaw Q (pathInitial N S) n)
funext a
exact (mapLaw_comp (uniformLaw (α := Fin (stepBits A C K j k xi) → Bool))
(step A R C K j k hK hW xi v w (pathRead a)) (pathPut a)).symm
end
end ContingencyTables.RootedBooleanPhase
end OAI