Download lean/OAI/Dynamics/StandardMap/BridgePattern.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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4.99 kB
| import OAI.Dynamics.StandardMap.BridgeSamples | |
| namespace OAI | |
| open MeasureTheory Set | |
| open scoped ENNReal BigOperators | |
| open MeasureTheory Set Filter Metric | |
| open scoped ENNReal Topology Classical | |
| namespace StandardMapEntropy | |
| lemma sample_bridge_integral (k : ℝ) (hc : BridgeScalarControl k) | |
| (n N r : ℕ) (hn : 0< n) (hN : 100≤ N) (hr : (r:ℝ)≤ (N:ℝ)/1000) | |
| (u v : DyadicTime) (b : ℤ) (hu : (n:ℝ)*(u:ℝ)=(b:ℝ)) (hv : (n:ℝ)*(v:ℝ)=(b:ℝ)+(N:ℝ)) | |
| {Rw Rh : ℕ} (sw tw : Fin Rw → DyadicTime) (sh th : Fin Rh → DyadicTime) | |
| (aw : Fin Rw → ℤ) (nw : Fin Rw → ℕ) (Fw : (Fin Rw → ℝ) → ℝ) | |
| (ah : Fin Rh → ℤ) (nh : Fin Rh → ℕ) (Fh : (Fin Rh → ℝ) → ℝ) | |
| (hnw : ∀j,0< nw j) (hnh : ∀j,0< nh j) | |
| (hsw : ∀j,(n:ℝ)*(sw j:ℝ)=((aw j+b):ℤ)) | |
| (htw : ∀j,(n:ℝ)*(tw j:ℝ)=((aw j+b):ℤ)+(nw j:ℝ)) | |
| (hsh : ∀j,(n:ℝ)*(sh j:ℝ)=((ah j+b):ℤ)) | |
| (hth : ∀j,(n:ℝ)*(th j:ℝ)=((ah j+b):ℤ)+(nh j:ℝ)) | |
| (L : NNReal) (hFw : LipschitzWith L Fw) (hFh : LipschitzWith L Fh) | |
| (hlenw : ∀j,nw j≤ 2*r) (hlenh : ∀j,nh j≤ 2*r) | |
| (hwinw : ∀j l,1≤ l → l≤ nw j → (aw j+(l:ℤ)-1).natAbs≤ r) | |
| (hwinh : ∀j l,1≤ l → l≤ nh j → (ah j+(l:ℤ)-1-(N:ℤ)).natAbs≤ r) | |
| (hW0 : ∀z,0≤ shortfallObservation k aw nw Fw z) | |
| (hH0 : ∀z,0≤ shortfallObservation k ah nh Fh z) | |
| (hlog : 1≤ Real.log (growthBase k)) (hLM : 16*Real.pi*L≤ growthBase k) | |
| (η : ℝ) (hη : 0<η) (hδ : growthBase k^(-(1/10:ℝ)*(N:ℝ))<η/2) | |
| (F : DistanceArray → ℝ) (hF : Continuous F) (D : ℝ) (hD : 0≤ D) | |
| (hFW : ∀d,F d≤ D*arrayObservation sw tw Fw d) | |
| (hzero : ∀d,¬((999/1000:ℝ)*((v:ℝ)-(u:ℝ))< d.val u v ∧ η< arrayObservation sh th Fh d) → F d=0) : | |
| (∫ d,F d ∂sampleLaw k hc.nonneg n hn)≤ D*bridgeRealConstant* | |
| ((∫ d,arrayObservation sw tw Fw d ∂sampleLaw k hc.nonneg n hn)+growthBase k^(-(1/10:ℝ)*(N:ℝ)))* | |
| ((∫ d,arrayObservation sh th Fh d ∂sampleLaw k hc.nonneg n hn)/(η/2)) := by | |
| let W := shortfallObservation k aw nw Fw | |
| let H := shortfallObservation k ah nh Fh | |
| let E := {z | torusFastBridge k z N} ∩ {z | η< H z} | |
| have hW : Continuous W := continuous_shortfall_observation k hc.nonneg _ _ _ hFw.continuous | |
| have hH : Continuous H := continuous_shortfall_observation k hc.nonneg _ _ _ hFh.continuous | |
| have hiW := hW.integrable_of_hasCompactSupport (μ := area) (HasCompactSupport.of_compactSpace _) | |
| have hE : MeasurableSet E := (measurableSet_torusFastBridge k N).inter (isOpen_lt continuous_const hH).measurableSet | |
| have heW (z : Torus) : arrayObservation sw tw Fw (sampleArray k hc.nonneg z n hn)=W (torusIter k b z) := by | |
| rw [arrayObservation_sample k hc.nonneg n hn sw tw (fun j => aw j+b) nw hnw hsw htw Fw] | |
| exact (shortfallObservation_shift k aw nw Fw b z).symm | |
| have heH (z : Torus) : arrayObservation sh th Fh (sampleArray k hc.nonneg z n hn)=H (torusIter k b z) := by | |
| rw [arrayObservation_sample k hc.nonneg n hn sh th (fun j => ah j+b) nh hnh hsh hth Fh] | |
| exact (shortfallObservation_shift k ah nh Fh b z).symm | |
| have hiI : Integrable (fun z => E.indicator W (torusIter k b z)) area := | |
| (measurePreserving_torusIter k b).integrable_comp_of_integrable (hiW.indicator hE) | |
| have hbound : (∫ z,F (sampleArray k hc.nonneg z n hn) ∂area)≤ D*(∫ z in E,W z ∂area) := by | |
| rw [←integral_indicator hE,←integral_torusIter k b (E.indicator W),←integral_const_mul] | |
| apply integral_mono ((hF.comp (continuous_sampleArray k hc.nonneg n hn)).integrable_of_hasCompactSupport | |
| (HasCompactSupport.of_compactSpace _)) (hiI.const_mul D) | |
| intro z | |
| dsimp only [Function.comp_apply] | |
| by_cases hz : torusIter k b z∈E | |
| · rw [indicator_of_mem hz] | |
| simpa only [heW] using hFW (sampleArray k hc.nonneg z n hn) | |
| · rw [indicator_of_notMem hz,mul_zero] | |
| have hfz : F (sampleArray k hc.nonneg z n hn)=0 := hzero _ (by | |
| intro h | |
| apply hz | |
| exact ⟨array_fast_sample k hc.nonneg z n hn u v b N hu hv h.1,by simpa only [Set.mem_ofPred_eq,←heH z] using h.2⟩) | |
| exact hfz.le | |
| have hwint : (∫ d,arrayObservation sw tw Fw d ∂sampleLaw k hc.nonneg n hn)=∫ z,W z ∂area := by | |
| rw [integral_sampleLaw k hc.nonneg n hn _ (continuous_arrayObservation sw tw Fw hFw.continuous)] | |
| simp_rw [heW] | |
| exact integral_torusIter k b W | |
| have hhint : (∫ d,arrayObservation sh th Fh d ∂sampleLaw k hc.nonneg n hn)=∫ z,H z ∂area := by | |
| rw [integral_sampleLaw k hc.nonneg n hn _ (continuous_arrayObservation sh th Fh hFh.continuous)] | |
| simp_rw [heH] | |
| exact integral_torusIter k b H | |
| rw [integral_sampleLaw k hc.nonneg n hn F hF,hwint,hhint] | |
| have hb := actual_fast_bridge_real k hc N r hN hr aw nw Fw ah nh Fh hnw hnh L hFw hFh hlenw hlenh | |
| hwinw hwinh hW0 hH0 hlog hLM η hη hδ | |
| exact hbound.trans ((mul_le_mul_of_nonneg_left hb hD).trans_eq (by dsimp only [W,H]; ring)) | |
| end StandardMapEntropy | |
| end OAI | |