openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Cavity /CavityBaseCutoffFactor.lean
roseking's picture
Add lean source and binary files (part 123)
c4cdbbd verified
Raw History Blame Contribute Delete
2.84 kB
import OAI.Probability.InvariantIsing.Cavity.CavityCutoffWeight
import OAI.Probability.InvariantIsing.Cavity.CavityPhysicalGibbsSplit
namespace OAI
/-! Factoring a restricted cavity test over the base Gibbs law. The
cutoff remains inside the weight, so its zero convention is preserved. -/
noncomputable section
open MeasureTheory ProbabilityTheory IsingPerceptron Set
open scoped Classical
namespace InvariantIsing
lemma cavity_reference_tilt_add {X : Type*} [MeasurableSpace X]
[Countable X] [MeasurableSingletonClass X]
(μ : Measure X) [IsProbabilityMeasure μ] (J V : X → ℝ)
(hj : Integrable (fun x => Real.exp (J x)) μ)
(hfull : Integrable (fun x => Real.exp (J x + V x)) μ)
{r : ℕ} (F : (Fin r → X) → ℝ) :
referenceReplicaMean μ (fun x => J x + V x) F =
referenceReplicaMean (μ.tilted J) V F := by
let := isProbabilityMeasure_tilted hj
have hv : Integrable (fun x => Real.exp (V x)) (μ.tilted J) := by
rw [integrable_tilted_iff hj]
simpa only [smul_eq_mul, ← Real.exp_add] using hfull
rw [referenceReplicaMean_eq_tilted μ _ hfull,
referenceReplicaMean_eq_tilted (μ.tilted J) V hv, tilted_tilted hj]
rfl
lemma cavity_cutoff_tilt_add {X : Type*} [MeasurableSpace X]
[Countable X] [MeasurableSingletonClass X]
(μ : Measure X) [IsProbabilityMeasure μ] (J V : X → ℝ)
(hj : Integrable (fun x => Real.exp (J x)) μ)
(hfull : Integrable (fun x => Real.exp (J x + V x)) μ)
(s : Set X) (F : (Fin 2 → X) → ℝ) :
cavityCutoffReplicaMean μ (fun x => J x + V x) s F =
cavityCutoffReplicaMean (μ.tilted J) V s F := by
unfold cavityCutoffReplicaMean
rw [cavity_reference_tilt_add μ J V hj hfull,
cavity_reference_tilt_add μ J V hj hfull]
theorem cavity_base_cutoff_indicator {X Y : Type*}
[MeasurableSpace X] [MeasurableSpace Y]
[Countable X] [Countable Y] [MeasurableSingletonClass X] [MeasurableSingletonClass Y]
(μ : Measure X) [IsProbabilityMeasure μ] (ν : Measure Y) [IsProbabilityMeasure ν]
(J : X → ℝ) (V : X × Y → ℝ)
(hj : Integrable (fun x => Real.exp (J x)) μ)
(hfull : Integrable (fun x => Real.exp (J x.1 + V x)) (μ.prod ν))
(s : Set (X × Y)) (F : (Fin 2 → X × Y) → ℝ) :
cavityCutoffReplicaMean (μ.prod ν) (fun x => J x.1 + V x) s F =
cavityWeightedReplicaMean ((μ.tilted J).prod ν)
(s.indicator (fun x => Real.exp (V x))) F := by
let := isProbabilityMeasure_tilted hj
have hv := cavity_base_product_tilt_integrable μ ν J (measurable_of_countable J) hj V hfull
rw [cavity_cutoff_tilt_add (μ.prod ν) (fun x => J x.1) V (hj.comp_fst ν) hfull,
← cavity_tilt_prod_left μ ν J (measurable_of_countable J)]
exact cavity_cutoff_replica_indicator ((μ.tilted J).prod ν) V hv s F
end InvariantIsing
end
end OAI