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Add lean source and binary files (part 126)
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import OAI.Probability.SATComputability.PoissonSemigroup
import OAI.Probability.SATComputability.MarkovOccupation
namespace OAI
namespace FixedClauseThreshold.Computability
open DilutedSpinGlass MeasureTheory ProbabilityTheory Filter
open scoped BigOperators NNReal
theorem candidateResidual_subset {n k d : ℕ} (U : Finset (DeletionCandidate n))
(cs : Fin d → Fin k → SignedLiteral n) : candidateResidual U cs ⊆ U := by
classical
exact Finset.filter_subset _ _
theorem candidateResidual_mono {n k d : ℕ} {U V : Finset (DeletionCandidate n)}
(h : U ⊆ V) (cs : Fin d → Fin k → SignedLiteral n) :
candidateResidual U cs ⊆ candidateResidual V cs := by
classical
exact Finset.filter_subset_filter _ h
theorem candidateAlive_mono {n : ℕ} :
Monotone (candidateAlive (n := n)) := by
intro U V h
unfold candidateAlive
split_ifs with hU hV
· rfl
· exact (hV (hU.mono h)).elim
· norm_num
· rfl
theorem candidateBlock_expect_mono_state {n : ℕ} [NeZero n]
(r : ℝ≥0) (k : ℕ) {f : Finset (DeletionCandidate n) → ℝ}
(hf : Monotone f) : Monotone (fun U => (candidateBlock r k U).expect f) := by
intro U V hUV
simp only [candidateBlock, poissonMixture_expect]
apply integral_mono (poissonMixture_integrable_expect r
(fun d => candidateFixedBlock k d U) f)
(poissonMixture_integrable_expect r (fun d => candidateFixedBlock k d V) f)
intro d
simp only [candidateFixedBlock_expect, candidateStep_iterate]
exact FiniteLaw.expect_mono _ (fun cs => hf (candidateResidual_mono hUV cs))
theorem candidateBlock_expect_le_of_subset {n : ℕ} [NeZero n]
(r : ℝ≥0) (k : ℕ) (U : Finset (DeletionCandidate n))
(f g : Finset (DeletionCandidate n) → ℝ)
(h : ∀ V ⊆ U, f V ≤ g V) :
(candidateBlock r k U).expect f ≤ (candidateBlock r k U).expect g := by
simp only [candidateBlock, poissonMixture_expect]
apply integral_mono (poissonMixture_integrable_expect r _ f)
(poissonMixture_integrable_expect r _ g)
intro d
simp only [candidateFixedBlock_expect, candidateStep_iterate]
exact FiniteLaw.expect_mono _ (fun cs => h _ (candidateResidual_subset U cs))
theorem candidateBlock_expect_alive {n : ℕ} [NeZero n]
(r : ℝ≥0) (k : ℕ) (U : Finset (DeletionCandidate n)) :
(candidateBlock r k U).expect candidateAlive = 1 - poissonKillProbability U k r := by
have he : candidateAlive (n := n) = fun V => 1 - (if V = ∅ then 1 else 0) := by
classical
funext V
by_cases h : V = ∅ <;> simp [candidateAlive, h, Finset.nonempty_iff_ne_empty]
rw [he, FiniteLaw.expect_sub, FiniteLaw.expect_const, candidateBlock_kill]
theorem candidateBlock_empty {n : ℕ} [NeZero n]
(r : ℝ≥0) (k : ℕ) (f : Finset (DeletionCandidate n) → ℝ) :
(candidateBlock r k ∅).expect f = f ∅ := by
simp only [candidateBlock_expect, candidateStep_iterate, candidateResidual,
Finset.filter_empty, FiniteLaw.expect_const, integral_const, probReal_univ, one_smul]
theorem candidateBlock_survival_le {n : ℕ} [NeZero n]
(r : ℝ≥0) (k : ℕ) (U : Finset (DeletionCandidate n)) :
(candidateBlock r k U).expect candidateAlive ≤ candidateAlive U := by
apply (candidateBlock_expect_le_of_subset r k U candidateAlive
(fun _ => candidateAlive U) (fun _ h => candidateAlive_mono h)).trans_eq
exact FiniteLaw.expect_const _ _
theorem candidateBlock_survival_submultiplicative {n : ℕ} [NeZero n]
(r s : ℝ≥0) (k : ℕ) (U : Finset (DeletionCandidate n)) :
(candidateBlock (r+s) k U).expect candidateAlive ≤
(candidateBlock r k U).expect candidateAlive *
(candidateBlock s k U).expect candidateAlive := by
rw [candidateBlock_comp]
calc
_ ≤ (candidateBlock r k U).expect (fun V =>
candidateAlive V * (candidateBlock s k U).expect candidateAlive) := by
apply candidateBlock_expect_le_of_subset
intro V hV
by_cases h : V.Nonempty
· simpa only [candidateAlive, ite_eq_left h, one_mul] using
candidateBlock_expect_mono_state s k candidateAlive_mono hV
· have he : V = ∅ := Finset.not_nonempty_iff_eq_empty.mp h
subst V
simp [candidateBlock_empty, candidateAlive]
_ = _ := FiniteLaw.expect_mul_right _ _ _
theorem candidateBlock_survival_geometric {n : ℕ} [NeZero n]
(r : ℝ≥0) (k : ℕ) (U : Finset (DeletionCandidate n))
{δ : ℝ} (hδ : δ ≤ poissonKillProbability U k r) (m : ℕ) :
(candidateBlock (r*m) k U).expect candidateAlive ≤ (1-δ)^m := by
have hs := FiniteLaw.expect_nonneg (candidateBlock r k U) candidateAlive_nonneg
have hb : (candidateBlock r k U).expect candidateAlive ≤ 1-δ := by
rw [candidateBlock_expect_alive]
linarith
have hd : 0 ≤ 1-δ := hs.trans hb
induction m with
| zero => simp [candidateBlock_expect, integral_poissonMeasure, zero_pow_eq, ite_div, ite_mul,
candidateAlive_le_one]
| succ m ih =>
have he : r * ((m+1 : ℕ) : ℝ≥0) = r*m+r := by push_cast; ring
rw [he, pow_succ]
exact (candidateBlock_survival_submultiplicative (r*m) r k U).trans
(mul_le_mul ih hb hs (pow_nonneg hd m))
theorem candidateBlock_occupation {n : ℕ} [NeZero n]
(r : ℝ≥0) (k L M : ℕ) (bin : Finset (DeletionCandidate n) → Prop)
[DecidablePred bin] {δ : ℝ} (hδ : 0 < δ)
(hbin : ∀ U, bin U → U.Nonempty ∧ δ ≤ poissonKillProbability U k (r*L))
(U : Finset (DeletionCandidate n)) :
(∑ t ∈ Finset.range M,
(candidateBlock (r*t) k U).expect (fun V => if bin V then 1 else 0)) ≤
(L : ℝ)/δ := by
have hi (m : ℕ) (f : Finset (DeletionCandidate n) → ℝ) :
(finiteKernelStep (candidateBlock r k))^[m] f U =
(candidateBlock (r*m) k U).expect f := poissonCandidateStep_iterate r k m U f
have h := finiteKernel_occupation (candidateBlock r k) candidateAlive
(fun V => if bin V then 1 else 0) candidateAlive_nonneg candidateAlive_le_one hδ L
(fun V => ?_) M U
· simpa only [hi] using h
· change δ * (if bin V then 1 else 0) ≤ candidateAlive V -
(poissonCandidateStep r k)^[L] candidateAlive V
rw [poissonCandidateStep_iterate]
by_cases hb : bin V
· obtain ⟨hne, hk⟩ := hbin V hb
rw [ite_eq_left hb, mul_one, candidateAlive, ite_eq_left hne,
candidateBlock_expect_alive]
linarith
· rw [ite_eq_right hb, mul_zero]
exact sub_nonneg.mpr (candidateBlock_survival_le _ _ _)
end FixedClauseThreshold.Computability
end OAI