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Add lean source and binary files (part 119)
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import Mathlib
import OAI.Probability.BinarySweep.SparseBounds.SparseKernel
import OAI.Probability.BinarySweep.Trajectories.EndpointPlacement
namespace OAI
noncomputable section
section
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps
attribute [local instance] Classical.propDecidable
variable {b h k r : ℕ} {bits : Fin b → ℕ} (H : PathFamily bits h)
lemma placementProbability_uniform_bound (hd : ∀j, bits j≤2*r) {z : ℝ}
(hz : 0≤z) (hzr : z≤linePerturbationRadius r) (hz1 : z<1)
(x : Placement H k 0) (y : Placement H k (Fin.last b)) :
(gridSize bits : ℝ)^k * placementProbability H z x y ≤
Real.exp ((b:ℝ)*(h+k)+Real.log 4*k*b) := by
have hs : (0:ℝ)<gridSize bits := by exact_mod_cast gridSize_pos bits
have hp := placementProbability_nonneg H hz hz1 x y
by_cases hp0 : placementProbability H z x y=0
· rw [hp0,mul_zero]; exact (Real.exp_pos _).le
have hp' : 0<placementProbability H z x y := lt_of_le_of_ne hp (Ne.symm hp0)
have hb := placement_probability_cost_of_pos H hd hz hzr x y hp'
have hc : placementTransitionCost H z x y ≤ (b:ℝ)*(h+k) := by
unfold placementTransitionCost
rw [dite_eq_left hp']
simpa only [Nat.cast_add] using pathCost_le
(augmentByChoice H x (realizePlacement H z x y hp'))
have hpow : (gridSize bits:ℝ)^k * (gridSize bits:ℝ)^(-(k:ℝ))=1 := by
rw [Real.rpow_neg hs.le,Real.rpow_natCast]
exact mul_inv_cancel₀ (pow_ne_zero _ hs.ne')
calc
_ ≤ (gridSize bits:ℝ)^k * ((gridSize bits:ℝ)^(-(k:ℝ)) *
Real.exp (placementTransitionCost H z x y-pathCost H+Real.log 4*k*b)) :=
mul_le_mul_of_nonneg_left hb (pow_nonneg hs.le _)
_ = Real.exp (placementTransitionCost H z x y-pathCost H+Real.log 4*k*b) := by
rw [← mul_assoc,hpow,one_mul]
_ ≤ _ := Real.exp_le_exp.mpr (by linarith [pathCost_nonneg H])
lemma endpointProbability_scaled_bound (hd : ∀j, bits j≤2*r) {z : ℝ}
(hz : 0≤z) (hzr : z≤linePerturbationRadius r) (hz1 : z<1)
(x : Placement H k 0) (y : Placement H k (Fin.last b)) (A : Finset (Fin k)) :
(gridSize bits:ℝ)^A.card * endpointProbability H z A (fun i => ((x i).val,(y i).val)) ≤
Real.exp ((b:ℝ)*(h+k)+Real.log 4*k*b) := by
rw [endpointProbability_placement]
have hb := placementProbability_uniform_bound H hd hz hzr hz1
(restrictPlacement H x A) (restrictPlacement H y A)
simp only [Fintype.card_coe] at hb
refine hb.trans (Real.exp_le_exp.mpr ?_)
have hk : (A.card:ℝ) ≤ k := by exact_mod_cast (show A.card ≤ k from (by simpa only [Fintype.card_fin] using A.card_le_univ))
have hl : 0≤Real.log 4 := Real.log_nonneg (by norm_num)
have hbk := mul_le_mul_of_nonneg_left hk (show (0:ℝ)≤b by positivity)
have hbkl := mul_le_mul_of_nonneg_left hbk hl
nlinarith
lemma alternatingSubsetSum_abs_le {I : Type*} [DecidableEq I] (U : Finset I)
(s : ℝ) (p : Finset I → ℝ) (C : ℝ)
(hp : ∀ A ⊆ U, 0 ≤ s^A.card*p A ∧ s^A.card*p A ≤ C) :
|alternatingSubsetSum U s p|≤(2:ℝ)^U.card*C := by
unfold alternatingSubsetSum
calc
_ ≤ ∑A ∈ U.powerset, |(-1:ℝ)^(U.card-A.card)*s^A.card*p A| := Finset.abs_sum_le_sum_abs _ _
_ ≤ ∑_A ∈ U.powerset, C := by
apply Finset.sum_le_sum
intro A hA
rw [mul_assoc,abs_mul,abs_pow,abs_neg,abs_one,one_pow,one_mul,
abs_of_nonneg (hp A (Finset.mem_powerset.mp hA)).1]
exact (hp A (Finset.mem_powerset.mp hA)).2
_ = _ := by simp
theorem centeredEndpointKernel_amplitude (hd : ∀j, bits j≤2*r) {z : ℝ}
(hz : 0≤z) (hzr : z≤linePerturbationRadius r) (hz1 : z<1)
(x : Placement H k 0) (y : Placement H k (Fin.last b)) :
|(gridSize bits:ℝ)^k * centeredEndpointKernel H z (fun i => ((x i).val,(y i).val))| ≤
(2:ℝ)^k * Real.exp ((b:ℝ)*(h+k)+Real.log 4*k*b) := by
unfold centeredEndpointKernel
simp only [Fintype.card_fin]
rw [← mul_assoc,← mul_pow,mul_inv_cancel₀ (by exact_mod_cast (gridSize_pos bits).ne'),
one_pow,one_mul]
have hb := alternatingSubsetSum_abs_le Finset.univ (gridSize bits)
(fun A => endpointProbability H z A (fun i => ((x i).val,(y i).val)))
(Real.exp ((b:ℝ)*(h+k)+Real.log 4*k*b)) (by
intro A _
constructor
· rw [endpointProbability_placement]
exact mul_nonneg (by positivity) (placementProbability_nonneg H hz hz1 _ _)
· exact endpointProbability_scaled_bound H hd hz hzr hz1 x y A)
simpa only [Finset.card_univ,Fintype.card_fin] using hb
end BinaryCoordinateSweeps
end
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps.Sparse
variable {P Ω I : Type*} [Fintype P] [Fintype Ω] [Fintype I] [DecidableEq I]
lemma productProbability_uniform (E : (I → Ω) → Prop) :
productProbability uniformWeight E=finiteProbability uniformWeight E := by
unfold productProbability finiteProbability productWeight uniformWeight
simp only [Finset.prod_const,Finset.card_univ,Fintype.card_fun,Nat.cast_pow,one_div,inv_pow]
lemma sum_injective_le (f : P → Ω) (hi : Function.Injective f) (w : Ω → ℝ)
(hw : ∀u, 0≤w u) : ∑i, w (f i) ≤ ∑u, w u := by
classical
rw [← Finset.sum_image (fun x _ y _ hxy => hi hxy)]
exact Finset.sum_le_sum_of_subset_of_nonneg (Finset.subset_univ _)
(fun u _ _ => hw u)
theorem sum_square_le_uniform_event (f : P → Ω) (hi : Function.Injective f)
(Q : Ω → ℝ) (a C : ℝ) (ha : 0<a) (hC : 0≤C)
(hN : (Fintype.card Ω:ℝ)=a^2) (hb : ∀i, |a*Q (f i)|≤C) :
∑i, (Q (f i))^2 ≤ C^2 * finiteProbability uniformWeight (fun u => Q u≠0) := by
have hcard : (Fintype.card Ω:ℝ)≠0 := by rw [hN]; positivity
have hp : (Fintype.card Ω:ℝ)*finiteProbability uniformWeight (fun u => Q u≠0) =
∑u : Ω, if Q u≠0 then (1:ℝ) else 0 := by
unfold finiteProbability uniformWeight
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro u _
rw [← mul_assoc,mul_one_div_cancel hcard,one_mul]
split_ifs <;> rfl
have hle : a^2*(∑i, (Q (f i))^2) ≤
∑u : Ω, if Q u≠0 then C^2 else 0 := by
rw [Finset.mul_sum]
refine (Finset.sum_le_sum (fun i _ => ?_)).trans
(sum_injective_le f hi (fun u => if Q u≠0 then C^2 else 0)
(fun u => by
split_ifs
· exact pow_nonneg hC 2
· exact le_rfl))
by_cases hz : Q (f i)=0
· simp only [hz,ne_eq,not_true_eq_false,ite_false,zero_pow (by decide : 2≠0),mul_zero]
exact le_rfl
· rw [ite_eq_left hz,← mul_pow]
simpa only [sq_abs] using pow_le_pow_left₀ (abs_nonneg _) (hb i) 2
have he : (∑u : Ω, if Q u≠0 then C^2 else 0)=
C^2 * ((Fintype.card Ω:ℝ)*finiteProbability uniformWeight (fun u => Q u≠0)) := by
rw [hp,Finset.mul_sum]
apply Finset.sum_congr rfl
intro u _
split_ifs <;> simp
rw [he,hN] at hle
nlinarith [sq_pos_of_pos ha]
end BinaryCoordinateSweeps.Sparse
namespace BinaryCoordinateSweeps
open Sparse
variable {b h k r : ℕ} {bits : Fin b → ℕ} (H : PathFamily bits h)
def placementEndpointArray (xy : Placement H k 0 × Placement H k (Fin.last b)) :
Fin k → GridSlot bits × GridSlot bits := fun i => ((xy.1 i).val,(xy.2 i).val)
lemma placementEndpointArray_injective : Function.Injective (placementEndpointArray (k:=k) H) := by
intro x y he
apply Prod.ext
· apply Function.Embedding.ext
intro i
apply Subtype.ext
exact congrArg (fun z => (z i).1) he
· apply Function.Embedding.ext
intro i
apply Subtype.ext
exact congrArg (fun z => (z i).2) he
theorem centeredEndpointKernel_hs_bound (hd : ∀j, bits j≤2*r) {z : ℝ}
(hz : 0≤z) (hzr : z≤linePerturbationRadius r) (hz1 : z<1)
(hsmall : ((k+h:ℕ):ℝ) * (∑j : Fin b, (1:ℝ)/Fintype.card (GridOutside bits j)) ≤ 1) :
(∑x : Placement H k 0, ∑y : Placement H k (Fin.last b),
(centeredEndpointKernel H z (fun i => ((x i).val,(y i).val)))^2) ≤
((2:ℝ)^k * Real.exp ((b:ℝ)*(h+k)+Real.log 4*k*b))^2 *
((2:ℝ)^k * (((k+h:ℕ):ℝ) *
(∑j : Fin b, (1:ℝ)/Fintype.card (GridOutside bits j)))^((k+1)/2)) := by
have hs : (0:ℝ)<gridSize bits := by exact_mod_cast gridSize_pos bits
have hN : (Fintype.card (Fin k → GridSlot bits × GridSlot bits):ℝ)=((gridSize bits:ℝ)^k)^2 := by
simp only [Fintype.card_fun,Fintype.card_fin,Fintype.card_prod,card_gridSlot,Nat.cast_pow,Nat.cast_mul,mul_pow,pow_two]
have he := sum_square_le_uniform_event (placementEndpointArray (k:=k) H)
(placementEndpointArray_injective H) (centeredEndpointKernel H z)
((gridSize bits:ℝ)^k) ((2:ℝ)^k * Real.exp ((b:ℝ)*(h+k)+Real.log 4*k*b))
(pow_pos hs _) (by positivity) hN (fun xy => centeredEndpointKernel_amplitude H hd hz hzr hz1 xy.1 xy.2)
rw [← productProbability_uniform] at he
have hp := centeredEndpointKernel_exceptional_probability (I:=Fin k) H z
(by simpa only [Fintype.card_fin] using hsmall)
simp only [Fintype.card_fin] at hp
have heq : (∑x : Placement H k 0, ∑y : Placement H k (Fin.last b),
(centeredEndpointKernel H z (fun i => ((x i).val,(y i).val)))^2) =
∑xy : Placement H k 0 × Placement H k (Fin.last b),
(centeredEndpointKernel H z (placementEndpointArray H xy))^2 := by
rw [Fintype.sum_prod_type]
apply Finset.sum_congr
· ext x; simp only [Finset.mem_univ]
intro x _
apply Finset.sum_congr
· ext y; simp only [Finset.mem_univ]
intro y _
rfl
rw [heq]
exact he.trans (mul_le_mul_of_nonneg_left hp (sq_nonneg _))
end BinaryCoordinateSweeps
end
end OAI