openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Pressure /RandomBoundedDerivative.lean
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2.13 kB
| import OAI.Probability.InvariantIsing.Core.BoundedObservableMinimum | |
| import OAI.Probability.IsingPerceptron.EnrichedCGF | |
| namespace OAI | |
| /-! A bounded random observable has a differentiable disorder-averaged CGF. | |
| This applies to the actual temperature observable retaining common disorder. -/ | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory IsingPerceptron | |
| namespace InvariantIsing | |
| lemma integrable_bounded_random_tilted_mean {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| (P : Measure Ω) [IsProbabilityMeasure P] (ν : Ω → Measure X) (hν : Measurable ν) | |
| [∀ ω, IsProbabilityMeasure (ν ω)] (Y : Ω → X → ℝ) | |
| (hY : Measurable (Function.uncurry Y)) (B : ℝ) (hB : ∀ ω x, |Y ω x| ≤ B) (t : ℝ) : | |
| Integrable (fun ω => ∫ x, Y ω x ∂(ν ω).tilted (fun x => t * Y ω x)) P := by | |
| have hm := measurable_random_tilted_integral hν (hY.const_mul t) hY | |
| apply Integrable.of_bound hm.aestronglyMeasurable B | |
| exact ae_of_all _ fun ω => by | |
| simpa only [Real.norm_eq_abs, Function.comp_apply, Function.uncurry_apply_pair, id_eq] using bounded_tilted_integral_abs (ν ω) | |
| (hY.comp (measurable_const.prodMk measurable_id)) (hB ω) | |
| (hY.comp (measurable_const.prodMk measurable_id)) (hB ω) t | |
| theorem hasDerivAt_bounded_random_cgf {Ω X : Type*} | |
| [MeasurableSpace Ω] [MeasurableSpace X] | |
| (P : Measure Ω) [IsProbabilityMeasure P] (ν : Ω → Measure X) (hν : Measurable ν) | |
| [∀ ω, IsProbabilityMeasure (ν ω)] (Y : Ω → X → ℝ) | |
| (hY : Measurable (Function.uncurry Y)) (B : ℝ) (hB : ∀ ω x, |Y ω x| ≤ B) (t : ℝ) : | |
| HasDerivAt (fun s => ∫ ω, cgf (Y ω) (ν ω) s ∂P) | |
| (∫ ω, ∫ x, Y ω x ∂(ν ω).tilted (fun x => t * Y ω x) ∂P) t := by | |
| apply hasDerivAt_mean_cgf ν Y | |
| · exact ae_of_all _ fun ω s => exp_mul_integrable_of_bound (ν ω) | |
| (hY.comp (measurable_const.prodMk measurable_id)) (hB ω) s | |
| · exact fun s => integrable_bounded_random_cgf P ν hν (Function.uncurry Y) hY B hB s | |
| · exact fun s => integrable_bounded_random_tilted_mean P ν hν Y hY B hB s | |
| end InvariantIsing | |
| end | |
| end OAI | |