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Add lean source and binary files (part 125)
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import OAI.Probability.Localization.Termination
namespace OAI
open MeasureTheory ProbabilityTheory Set
open scoped BigOperators ENNReal
namespace RepeatedLocalization
namespace FiniteEntropy
noncomputable def terminalKL {n : ℕ} (P : Measure (Coordinate n)) (Q : Cell n) (z : Coordinate n) : ℝ≥0∞ :=
InformationTheory.klDiv (terminalLaw P Q (terminalLog P Q z))
(uniformCell (terminalCell P Q (terminalLog P Q z)))
lemma measurable_terminalKL {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) (Q : Cell n) :
Measurable (terminalKL P Q) :=
(measurable_of_countable (fun h : Log n => InformationTheory.klDiv (terminalLaw P Q h)
(uniformCell (terminalCell P Q h)))).comp (measurable_terminalLog hn P Q)
lemma measurable_depth_real {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) (Q : Cell n) :
Measurable (fun z => (depth P Q z:ℝ)) :=
(measurable_of_countable (fun h : Log n => (((terminalCell P Q h).1-Q.1:ℕ):ℝ))).comp
(measurable_terminalLog hn P Q)
lemma terminal_historyKL {n : ℕ} (hn : 0 < n) (P : Measure (Coordinate n)) (Q : Cell n)
(hroot : ∀ᵐ z ∂P,z ∈ cellSet Q) {z : Coordinate n} (hz : z ∈ cellSet Q) (ht : Terminates P Q z) :
terminalKL P Q z = historyKL P Q (terminalLog P Q z) := by
unfold terminalKL historyKL terminalLaw terminalCell
rw [cond_congr_ae P (terminal_fiber_ae_event hn P Q hroot hz ht)]
lemma terminal_cost_budget {n : ℕ} (hn : 32 ≤ n) (P : Measure (Coordinate n)) [IsProbabilityMeasure P]
(Q : Cell n) (hac : P ≪ uniformCell Q) (hK : InformationTheory.klDiv P (uniformCell Q) ≠ ∞) :
Integrable (fun z => (terminalKL P Q z).toReal + entropySlope n/2*(depth P Q z:ℝ)) P ∧
(∫ z,(terminalKL P Q z).toReal + entropySlope n/2*(depth P Q z:ℝ) ∂P) ≤
(InformationTheory.klDiv P (uniformCell Q)).toReal + 2/Real.exp 1 := by
have hn0 : 0 < n := by omega
have hs : 0 ≤ entropySlope n/2 := le_of_lt (div_pos (entropySlope_pos hn0) (by norm_num))
apply frozen_nonnegative_bound P
(fun N z => (historyKL P Q (run P Q N z)).toReal + entropySlope n/2*(truncatedDepth P Q N z:ℝ))
_ _ (budget_nonneg P Q)
· intro N
exact (truncated_KL_integrable hn0 P Q hac hK N).add
((truncated_depth_integrable hn0 P Q hac hK N).const_mul _)
· intro N z
exact add_nonneg ENNReal.toReal_nonneg (mul_nonneg hs (Nat.cast_nonneg _))
· exact ((measurable_terminalKL hn0 P Q).ennreal_toReal.add
((measurable_depth_real hn0 P Q).const_mul _)).aestronglyMeasurable
· intro z
exact add_nonneg ENNReal.toReal_nonneg (mul_nonneg hs (Nat.cast_nonneg _))
· have hroot := ae_mem_cell_of_ac hac
filter_upwards [hroot,almost_sure_termination hn P Q hac hK] with z hz ht
refine ⟨attempts P Q z,fun M hM => ?_⟩
have he := run_eventually_terminal P Q ht M hM
simp only [truncatedDepth,he,← terminal_historyKL hn0 P Q hroot hz ht,depth,terminalCell]
· exact truncated_final_budget hn P Q hac hK
lemma terminal_depth_integrable {n : ℕ} (hn : 32 ≤ n) (P : Measure (Coordinate n)) [IsProbabilityMeasure P]
(Q : Cell n) (hac : P ≪ uniformCell Q) (hK : InformationTheory.klDiv P (uniformCell Q) ≠ ∞) :
Integrable (fun z => (depth P Q z:ℝ)) P := by
have hn0 : 0 < n := by omega
have hc := (terminal_cost_budget hn P Q hac hK).1
apply Integrable.mono' (hc.div_const (entropySlope n/2)) (measurable_depth_real hn0 P Q).aestronglyMeasurable
filter_upwards [] with z
rw [Real.norm_eq_abs,abs_of_nonneg (Nat.cast_nonneg _),le_div_iff₀ (div_pos (entropySlope_pos hn0) (by norm_num))]
nlinarith [ENNReal.toReal_nonneg (a := terminalKL P Q z)]
lemma terminal_KL_integrable {n : ℕ} (hn : 32 ≤ n) (P : Measure (Coordinate n)) [IsProbabilityMeasure P]
(Q : Cell n) (hac : P ≪ uniformCell Q) (hK : InformationTheory.klDiv P (uniformCell Q) ≠ ∞) :
Integrable (fun z => (terminalKL P Q z).toReal) P := by
have hc := (terminal_cost_budget hn P Q hac hK).1
have hd := terminal_depth_integrable hn P Q hac hK
simpa only [add_sub_cancel_right] using
hc.sub' (hd.const_mul (entropySlope n/2))
lemma terminal_attempts_budget {n : ℕ} (hn : 32 ≤ n) (P : Measure (Coordinate n)) [IsProbabilityMeasure P]
(Q : Cell n) (hac : P ≪ uniformCell Q) (hK : InformationTheory.klDiv P (uniformCell Q) ≠ ∞) :
Integrable (fun z => (attempts P Q z:ℝ)) P ∧
(∫ z,(attempts P Q z:ℝ) ∂P) ≤ 2*(1+∫ z,(depth P Q z:ℝ) ∂P) := by
have hn0 : 0 < n := by omega
have hroot := ae_mem_cell_of_ac hac
have hterm := almost_sure_termination hn P Q hac hK
have hd := terminal_depth_integrable hn P Q hac hK
apply frozen_nonnegative_bound P (fun N z => (truncatedAttempts P Q N z:ℝ)) _ _
· positivity
· exact integrable_truncatedAttempts hn0 P Q
· intro N z
exact Nat.cast_nonneg _
· exact ((measurable_of_countable (fun a : ℕ => (a:ℝ))).comp (measurable_attempts hn0 P Q)).aestronglyMeasurable
· intro z
exact Nat.cast_nonneg _
· filter_upwards [hterm] with z ht
refine ⟨attempts P Q z,fun M hM => ?_⟩
simp only [truncatedAttempts,run_eventually_terminal P Q ht M hM,terminalLog_length P Q ht]
· intro N
have he : ∀ᵐ z ∂P,(truncatedDepth P Q N z:ℝ) ≤ (depth P Q z:ℝ) := by
filter_upwards [hroot,hterm] with z hz ht
have hm := truncatedDepth_mono hn0 P Q hz (Nat.le_max_left N (attempts P Q z))
have hf := run_eventually_terminal P Q ht (max N (attempts P Q z)) (Nat.le_max_right _ _)
simp only [truncatedDepth,hf] at hm
exact_mod_cast hm
have hi := integral_mono_ae (truncated_depth_integrable hn0 P Q hac hK N) hd he
exact (truncated_attempts_integral hn0 P Q hac hK N).trans (by linarith)
lemma terminal_ennreal_budget {n : ℕ} (hn : 32 ≤ n) (P : Measure (Coordinate n)) [IsProbabilityMeasure P]
(Q : Cell n) (hac : P ≪ uniformCell Q) (hK : InformationTheory.klDiv P (uniformCell Q) ≠ ∞) :
(∫⁻ z,terminalKL P Q z ∂P) + ENNReal.ofReal ((Real.log 2/4)*n*(∫ z,(depth P Q z:ℝ) ∂P)) ≤
InformationTheory.klDiv P (uniformCell Q) + ENNReal.ofReal (2/Real.exp 1) := by
have hd := terminal_depth_integrable hn P Q hac hK
have hk := terminal_KL_integrable hn P Q hac hK
have hc := (terminal_cost_budget hn P Q hac hK).2
rw [integral_add hk (hd.const_mul _),integral_const_mul] at hc
have hfin : ∀ᵐ z ∂P,terminalKL P Q z ≠ ∞ := by
filter_upwards [ae_fiber_positive P (terminalLog P Q)] with z hz
exact (terminal_regular hn P Q hac hK (terminalLog P Q z) hz).2.2
have he : (∫⁻ z,terminalKL P Q z ∂P) = ENNReal.ofReal (∫ z,(terminalKL P Q z).toReal ∂P) := by
rw [ofReal_integral_eq_lintegral_ofReal hk (ae_of_all _ (fun _ => ENNReal.toReal_nonneg))]
exact lintegral_congr_ae (hfin.mono (fun z hz => (ENNReal.ofReal_toReal hz).symm))
have hs : (Real.log 2/4)*(n:ℝ) = entropySlope n/2 := by unfold entropySlope; ring
rw [he,hs,← ENNReal.ofReal_add (integral_nonneg (fun _ => ENNReal.toReal_nonneg))]
calc
_ ≤ ENNReal.ofReal ((InformationTheory.klDiv P (uniformCell Q)).toReal+2/Real.exp 1) := ENNReal.ofReal_le_ofReal hc
_ = _ := by
rw [ENNReal.ofReal_add ENNReal.toReal_nonneg,ENNReal.ofReal_toReal hK]
positivity
· exact mul_nonneg (le_of_lt (div_pos (entropySlope_pos (by omega)) (by norm_num)))
(integral_nonneg (fun _ => Nat.cast_nonneg _))
end FiniteEntropy
end RepeatedLocalization
end OAI