import OAI.Dynamics.StandardMap.EntropyEndpoint import OAI.Dynamics.StandardMap.Components.CurvedHolonomy namespace OAI section section open MeasureTheory MeasureTheory.Measure Set Filter open scoped ENNReal Topology theorem rectangle_quasiMeasurePreserving {A B : Type*} [MeasurableSpace A] [MeasurableSpace B] (α : Measure A) (β : Measure B) [SFinite α] [SFinite β] {I : Set ℝ} (hI : MeasurableSet I) (G : A → ℝ → ℝ) (hG : Measurable (fun p : A×ℝ => G p.1 p.2)) (π : A×B → ℝ×ℝ) (hπ : Measurable π) (hgraph : ∀ p,(π p).2=G p.1 (π p).1) (haffine : ∀ x∈I,QuasiMeasurePreserving (fun a => G a x) α volume) (hcurved : ∀ a,QuasiMeasurePreserving (fun b => (π (a,b)).1) β (volume.restrict I)) : QuasiMeasurePreserving π (α.prod β) (volume : Measure (ℝ×ℝ)) := by refine ⟨hπ,AbsolutelyContinuous.mk fun N hN hNzero => ?_⟩ rw [map_apply hπ hN] have hslice : ∀ᵐ x ∂volume.restrict I,∀ᵐ y ∂(volume : Measure ℝ),(x,y)∉N := by apply ae_restrict_of_ae apply ae_ae_of_ae_prod (p := fun p : ℝ×ℝ => p∉N) rw [ae_iff] simpa only [not_not,Set.ofPred_mem_eq,Measure.volume_eq_prod] using hNzero have hGEN : ∀ᵐ x ∂volume.restrict I,∀ᵐ a ∂α,(x,G a x)∉N := by filter_upwards [hslice,ae_restrict_mem hI] with x hx hxI exact (haffine x hxI).ae hx have hprod : ∀ᵐ p ∂(volume.restrict I).prod α,(p.1,G p.2 p.1)∉N := by apply (ae_prod_iff_ae_ae ((hN.preimage (measurable_fst.prodMk (hG.comp measurable_swap))).compl)).mpr exact hGEN have hrev : ∀ᵐ a ∂α,∀ᵐ x ∂volume.restrict I,(x,G a x)∉N := by exact ae_ae_of_ae_prod ((measurePreserving_swap (μ := α) (ν := volume.restrict I)).quasiMeasurePreserving.ae hprod) have hout : ∀ᵐ a ∂α,∀ᵐ b ∂β,π (a,b)∉N := by filter_upwards [hrev] with a ha filter_upwards [(hcurved a).ae ha] with b hb simpa only [←hgraph (a,b),Prod.mk.eta] using hb have hall := (ae_prod_iff_ae_ae ((hN.preimage hπ).compl)).mpr hout simpa only [ae_iff,not_not,Set.ofPred_mem_eq] using hall end section namespace StandardMapEntropy open MeasureTheory MeasureTheory.Measure Set Filter Topology open scoped Topology ENNReal attribute [local instance] Measure.Subtype.measureSpace theorem compact_graph_product_nonsingular {K : Set (ℝ×ℝ)} (hK : IsCompact K) [SFinite (volume : Measure K)] (G U : K → ℝ → ℝ) (hG : Continuous (fun p : K×ℝ => G p.1 p.2)) (hU : Continuous (fun p : K×ℝ => U p.1 p.2)) (hsG : ∀ a s t,|G a s-G a t|≤(1/2)*|s-t|) (hsU : ∀ a s t,|U a s-U a t|≤(1/2)*|s-t|) {I J : Set ℝ} (hI : MeasurableSet I) (hIc : ∀ a : K,(a : ℝ×ℝ).1∈I) (hJc : ∀ a : K,(a : ℝ×ℝ).2∈J) (hcentreG : ∀ a : K,G a (a : ℝ×ℝ).1=(a : ℝ×ℝ).2) (hcentreU : ∀ a : K,U a (a : ℝ×ℝ).2=(a : ℝ×ℝ).1) {C : ℝ} (hC : 0≤C) (hGcontrol : AffineGraphControl G I C) (hUcontrol : AffineGraphControl U J C) (π : K×K → ℝ×ℝ) (hπ : Continuous π) (hπG : ∀ p,(π p).2=G p.1 (π p).1) (hπU : ∀ p,(π p).1=U p.2 (π p).2) (hπI : ∀ p,(π p).1∈I) (hπJ : ∀ p,(π p).2∈J) : QuasiMeasurePreserving π ((volume : Measure K).prod volume) (volume : Measure (ℝ×ℝ)) := by let _ : CompactSpace K := isCompact_iff_compactSpace.mp hK have haff (x : ℝ) (hx : x∈I) : QuasiMeasurePreserving (fun a => G a x) (volume : Measure K) volume := by apply label_nonsingular_of_vertical_inverse hK.measurableSet _ (hG.comp (continuous_id.prodMk continuous_const)).measurable hIc intro c hc obtain ⟨H,hH,hHval,hHbound⟩ := hGcontrol x hx c hc refine ⟨H,?_,fun Z hZ hZ0 => null_image_of_pointwise_local_bound hC hHbound hZ hZ0⟩ intro a he change H (G a x)=(a : ℝ×ℝ).2 rw [hHval,←he,hcentreG] have hcurved (a : K) : QuasiMeasurePreserving (fun b => (π (a,b)).1) (volume : Measure K) (volume.restrict I) := by have hbase : QuasiMeasurePreserving (fun b => (π (a,b)).1) (volume : Measure K) volume := by apply label_nonsingular_of_horizontal_inverse hK.measurableSet _ (continuous_fst.comp (hπ.comp (continuous_const.prodMk continuous_id))).measurable hJc intro c hc obtain ⟨H,hH,hHval,hHbound⟩ := compact_curved_inverse_control hU hC (by norm_num : (0:ℝ)≤1/2) (by norm_num : (0:ℝ)≤1/2) (by norm_num : (1/2:ℝ)*(1/2)<1) hsU hUcontrol (G a) (hsG a) (fun b => (π (a,b)).1) (continuous_fst.comp (hπ.comp (continuous_const.prodMk continuous_id))) (fun b => by rw [←hπG (a,b)]; exact hπU (a,b)) (fun b => by rw [←hπG (a,b)]; exact hπJ (a,b)) hc refine ⟨H,?_,fun Z hZ hZ0 => null_image_of_pointwise_local_bound (by positivity) hHbound hZ hZ0⟩ intro b he change H (π (a,b)).1=(b : ℝ×ℝ).1 rw [hHval,←he,hcentreU] simpa only [Measure.restrict_univ] using hbase.restrict (s := univ) (t := I) (fun b _ => hπI (a,b)) exact rectangle_quasiMeasurePreserving volume volume hI G hG.measurable π hπ.measurable hπG haff hcurved end StandardMapEntropy end section namespace StandardMapEntropy open MeasureTheory Set Filter open scoped Topology open NonlinearStable theorem compact_graph_rectangle {A B : Type*} [TopologicalSpace A] [CompactSpace A] [T2Space A] [TopologicalSpace B] [CompactSpace B] [T2Space B] (G : A → ℝ → ℝ) (U : B → ℝ → ℝ) (hG : Continuous (fun p : A×ℝ => G p.1 p.2)) (hU : Continuous (fun p : B×ℝ => U p.1 p.2)) (hsG : ∀ a s t,|G a s-G a t|≤(1/2)*|s-t|) (hsU : ∀ b s t,|U b s-U b t|≤(1/2)*|s-t|) {r : ℝ} (hr : 0 F p.1 p.2) := by apply Continuous.prodMk _ continuous_const exact (continuous_subtype_val.comp continuous_snd).sub (hG.comp ((continuous_fst.comp continuous_fst).prodMk (hU.comp ((continuous_snd.comp continuous_fst).prodMk (continuous_subtype_val.comp continuous_snd))))) have herr (p : A×B) (s t : ℝ) : |(F p s).1-(F p t).1-(s-t)|≤(1/4)*|s-t| := by have he : (F p s).1-(F p t).1-(s-t)=G p.1 (U p.2 t)-G p.1 (U p.2 s) := by dsimp only [F]; ring rw [he,abs_sub_comm] exact ((hsG p.1 _ _).trans (mul_le_mul_of_nonneg_left (hsU p.2 s t) (by norm_num))).trans_eq (by ring) obtain ⟨σ,hσ,hσval⟩ := compact_graph_crossing r hr F hFc herr (fun p => by simpa only [F,zero_sub,abs_neg] using hsmall p.1 p.2) let z₀ : Icc (-r/2) (r/2) := ⟨0,by constructor <;> linarith⟩ let t : A×B → ℝ := fun p => σ (p,z₀) have ht : Continuous t := continuous_subtype_val.comp (hσ.comp (continuous_id.prodMk continuous_const)) have he (p : A×B) : t p=G p.1 (U p.2 (t p)) := by have hh := hσval (p,z₀) change t p-G p.1 (U p.2 (t p))=0 at hh exact sub_eq_zero.mp hh refine ⟨(fun p => (U p.2 (t p),t p)),(hU.comp (continuous_snd.prodMk ht)).prodMk ht,?_,?_⟩ · intro p exact ⟨rfl,he p,abs_le.mpr (σ (p,z₀)).property⟩ · intro p q z hzU hzG have hm := strictMono_of_linear_error (by norm_num : (1/4 : ℝ)<1) (herr (q.1,p.2)) have hzero : (F (q.1,p.2) z.2).1=0 := by change z.2-G q.1 (U p.2 z.2)=0 rw [←hzU,←hzG,sub_self] have hz : z.2=t (q.1,p.2) := hm.injective (hzero.trans (by change 0=t (q.1,p.2)-G q.1 (U p.2 (t (q.1,p.2))) exact (sub_eq_zero.mpr (he (q.1,p.2))).symm)) exact Prod.ext (hzU.trans (congrArg (U p.2) hz)) hz end StandardMapEntropy end section namespace StandardMapEntropy open MeasureTheory MeasureTheory.Measure Set Filter Topology open scoped Topology ENNReal open NonlinearStable attribute [local instance] Measure.Subtype.measureSpace structure ReversibleGraphRectangle {k χ : ℝ} {B : ReversibleRectangleBlock k χ} (F : ReversibleGraphFamilies B) where point : B.coordinateCarrier×B.coordinateCarrier → RealPlane continuous : Continuous point nonsingular : QuasiMeasurePreserving point ((volume : Measure B.coordinateCarrier).prod volume) volume stable : ∀ p,(point p).2=F.G (B.label p.1) (point p).1 unstable : ∀ p,(point p).1=F.U (B.label p.2) (point p).2 x_bound : ∀ p,|(point p).1|≤B.ρ y_bound : ∀ p,|(point p).2|≤B.ρ theorem reversible_graph_rectangle {k χ : ℝ} {B : ReversibleRectangleBlock k χ} (F : ReversibleGraphFamilies B) (hk : 0≤k) : Nonempty (ReversibleGraphRectangle F) := by let _ : CompactSpace B.coordinateCarrier := isCompact_iff_compactSpace.mp B.compact_coordinateCarrier let _ : IsFiniteMeasure (volume : Measure B.coordinateCarrier) := B.finite_coordinate_volume let G (a : B.coordinateCarrier) (s : ℝ) := F.G (B.label a) s let U (a : B.coordinateCarrier) (s : ℝ) := F.U (B.label a) s have hG : Continuous (fun p : B.coordinateCarrier×ℝ => G p.1 p.2) := F.continuous_G.comp ((B.continuous_label.comp continuous_fst).prodMk continuous_snd) have hU : Continuous (fun p : B.coordinateCarrier×ℝ => U p.1 p.2) := F.continuous_U.comp ((B.continuous_label.comp continuous_fst).prodMk continuous_snd) have hx (a : B.coordinateCarrier) : |(a : RealPlane).1|≤B.ρ/100 := by have hh := (norm_fst_le (B.coordinates (B.label a))).trans (B.central (B.label a) (B.label a).property) simpa only [B.coordinates_label,Real.norm_eq_abs] using hh have hy (a : B.coordinateCarrier) : |(a : RealPlane).2|≤B.ρ/100 := by have hh := (norm_snd_le (B.coordinates (B.label a))).trans (B.central (B.label a) (B.label a).property) simpa only [B.coordinates_label,Real.norm_eq_abs] using hh have hGc (a : B.coordinateCarrier) : G a (a : RealPlane).1=(a : RealPlane).2 := by simpa only [B.coordinates_label] using F.G_centre (B.label a) have hUc (a : B.coordinateCarrier) : U a (a : RealPlane).2=(a : RealPlane).1 := by simpa only [B.coordinates_label] using F.U_centre (B.label a) have hG0 (a : B.coordinateCarrier) : |G a 0|≤3*B.ρ/200 := by have hh := F.slope_G (B.label a) 0 (a : RealPlane).1 change |G a 0-G a (a : RealPlane).1|≤_ at hh rw [hGc,zero_sub,abs_neg] at hh have htri := abs_sub_le (G a 0) (a : RealPlane).2 0 simp only [sub_zero] at htri nlinarith [hx a,hy a] have hU0 (a : B.coordinateCarrier) : |U a 0|≤3*B.ρ/200 := by have hh := F.slope_U (B.label a) 0 (a : RealPlane).2 change |U a 0-U a (a : RealPlane).2|≤_ at hh rw [hUc,zero_sub,abs_neg] at hh have htri := abs_sub_le (U a 0) (a : RealPlane).1 0 simp only [sub_zero] at htri nlinarith [hx a,hy a] have hsmall (a b : B.coordinateCarrier) : |G a (U b 0)|≤B.ρ/4 := by have hh := F.slope_G (B.label a) (U b 0) 0 change |G a (U b 0)-G a 0|≤_ at hh simp only [sub_zero] at hh have htri := abs_sub_le (G a (U b 0)) (G a 0) 0 simp only [sub_zero] at htri nlinarith [hG0 a,hU0 b,B.ρ_pos] obtain ⟨π,hπ,hgraph,hunique⟩ := compact_graph_rectangle G U hG hU (fun a => F.slope_G (B.label a)) (fun a => F.slope_U (B.label a)) B.ρ_pos hsmall have hπx (p : B.coordinateCarrier×B.coordinateCarrier) : |(π p).1|≤B.ρ := by rw [(hgraph p).1] have hh := F.slope_U (B.label p.2) (π p).2 0 change |U p.2 (π p).2-U p.2 0|≤_ at hh simp only [sub_zero] at hh have htri := abs_sub_le (U p.2 (π p).2) (U p.2 0) 0 simp only [sub_zero] at htri nlinarith [(hgraph p).2.2,hU0 p.2,B.ρ_pos] have hπI (p : B.coordinateCarrier×B.coordinateCarrier) : (π p).1∈B.stableInterval := B.mem_stableInterval.mpr ((hπx p).trans (by linarith [B.ρ_small,B.r_pos])) have hπJ (p : B.coordinateCarrier×B.coordinateCarrier) : (π p).2∈B.unstableInterval := B.mem_unstableInterval.mpr ((hgraph p).2.2.trans (by linarith [B.ρ_reverse,B.ρ_pos])) have hNS := compact_graph_product_nonsingular B.compact_coordinateCarrier G U hG hU (fun a => F.slope_G (B.label a)) (fun a => F.slope_U (B.label a)) (I := B.stableInterval) (J := B.unstableInterval) measurableSet_Icc (fun a => B.mem_stableInterval.mpr ((hx a).trans (by linarith [B.ρ_small,B.ρ_pos]))) (fun a => B.mem_unstableInterval.mpr ((hy a).trans (by linarith [B.ρ_reverse,B.ρ_pos]))) hGc hUc B.holonomyConstant_pos.le ((F.stable_control hk).comp B.label) ((F.unstable_control hk).comp B.label) π hπ (fun p => (hgraph p).2.1) (fun p => (hgraph p).1) hπI hπJ exact ⟨⟨π,hπ,hNS,fun p => (hgraph p).2.1,fun p => (hgraph p).1,hπx,fun p => (hgraph p).2.2⟩⟩ end StandardMapEntropy end section namespace StandardMapEntropy open MeasureTheory MeasureTheory.Measure Set Filter Topology open scoped Topology ENNReal theorem complexProjection_quasiMeasurePreserving : QuasiMeasurePreserving complexProjection volume area := by refine ⟨continuous_complexProjection.measurable,AbsolutelyContinuous.mk fun N hN hNz => ?_⟩ rw [Measure.map_apply continuous_complexProjection.measurable hN] let C (m n : ℤ) : Set ℂ := {z | z.re∈Ico (m : ℝ) ((m : ℝ)+1) ∧ z.im∈Ico (n : ℝ) ((n : ℝ)+1)} have hmp (m n : ℤ) : MeasurePreserving complexProjection (volume.restrict (C m n)) area := by have hp := (AddCircle.measurePreserving_mk (1 : ℝ) (m : ℝ)).prod (AddCircle.measurePreserving_mk (1 : ℝ) (n : ℝ)) simp only [←restrict_Ico_eq_restrict_Ioc,Measure.prod_restrict] at hp have hc := Complex.volume_preserving_equiv_real_prod.restrict_preimage (measurableSet_Ico.prod measurableSet_Ico : MeasurableSet (Ico (m : ℝ) ((m : ℝ)+1) ×ˢ Ico (n : ℝ) ((n : ℝ)+1))) exact hp.comp hc have hz (m n : ℤ) : volume (complexProjection ⁻¹' N∩C m n)=0 := by have hh := (hmp m n).measure_preimage hN.nullMeasurableSet rw [Measure.restrict_apply (hN.preimage continuous_complexProjection.measurable),hNz] at hh exact hh apply measure_mono_null (t := ⋃ m : ℤ,⋃ n : ℤ,complexProjection ⁻¹' N∩C m n) _ (measure_iUnion_null fun m => measure_iUnion_null fun n => hz m n) intro z hzN exact mem_iUnion.mpr ⟨⌊z.re⌋,mem_iUnion.mpr ⟨⌊z.im⌋,hzN, ⟨Int.floor_le _,Int.lt_floor_add_one _⟩,⟨Int.floor_le _,Int.lt_floor_add_one _⟩⟩⟩ end StandardMapEntropy end section namespace StandardMapEntropy open MeasureTheory Set Filter open scoped Topology open NonlinearStable theorem fineStableCurve_contracting_tangent (k χ ε δ : ℝ) (hδ : 0<δ) (hq : Real.exp (-χ+ε)+δ<1) (w : ℂ) (hw : ∀ n : ℕ, FineRegular k χ ε (complexProjection ((standardLift k)^[n] w))) {s : ℝ} (hs : |s|<1) : ∃ v : ℂ,v≠0 ∧ ∀ n : ℕ, ‖standardDerivativeProduct k (complexProjection (fineStableCurve k χ ε δ hδ hq w hw s)) n v‖≤ (2*fineScale k ε δ)*(Real.exp (-χ+ε)+δ)^n := by let f := fineStableCurve k χ ε δ hδ hq w hw have hsI : Ioo (-1 : ℝ) 1∈𝓝 s := isOpen_Ioo.mem_nhds (abs_lt.mp hs) have hf : DifferentiableAt ℝ f s := (fineStableCurve_contDiffOn k χ ε δ hδ hq w hw).differentiableOn (by norm_num) |>.differentiableAt hsI let I := fineInverse k χ ε δ (complexProjection w) let L := (ContinuousLinearMap.fst ℝ ℝ ℝ).comp I have he : (fun t : ℝ => L (f t-w))=id := by funext t change (I (w+fineFrame k χ ε δ (complexProjection w) (t,fineStableGraph k χ ε δ hδ hq w hw t)-w)).1=t rw [add_sub_cancel_left] dsimp [I] rw [fineInverse_frame k χ ε hδ _ (by simpa using (hw 0).1)] have hder := L.hasFDerivAt.comp_hasDerivAt s (hf.hasDerivAt.sub_const w) have hfirst : L (deriv f s)=1 := by have hder' : HasDerivAt (fun t : ℝ => L (f t-w)) (L (deriv f s)) s := hder rw [he] at hder' exact hder'.unique (hasDerivAt_id s) refine ⟨deriv f s,?_,?_⟩ · intro hz rw [hz,map_zero] at hfirst norm_num at hfirst · intro n have hd := (hasFDerivAt_standardLift_iterate k n (f s)).comp_hasDerivAt s hf.hasDerivAt apply hd.le_of_lip' (by positivity [fineScale_pos k ε hδ]) filter_upwards [hsI] with t ht exact fineStableCurve_contraction k χ ε δ hδ hq w hw (abs_lt.mpr ht).le hs.le n lemma vectorGrowth_le_log_of_bound (k : ℝ) (z : Torus) {v : ℂ} {l C q : ℝ} (hg : VectorGrowth k z v l) (hC : 0 Real.log C/(n : ℝ)+Real.log q) atTop (𝓝 (Real.log q)) := by simpa only [zero_add] using (tendsto_const_nhds.div_atTop tendsto_natCast_atTop_atTop : Tendsto (fun n : ℕ => Real.log C/(n : ℝ)) atTop (𝓝 0)).add_const (Real.log q) apply le_of_tendsto_of_tendsto hg.2 ht filter_upwards [eventually_gt_atTop 0] with n hn have hn' : (0 : ℝ) birkhoffSum T f n x/(n : ℝ)) atTop (𝓝 (F x)) ∧ Tendsto (fun n : ℕ => birkhoffSum S f n x/(n : ℝ)) atTop (𝓝 (F x))) ∧ ∀ A : Set X, MeasurableSet A → T ⁻¹' A=A → ∫ x in A,F x ∂μ=∫ x in A,f x ∂μ := by let C := ‖f‖ let d := 2*C+1 have hC : 0≤C := norm_nonneg f have hd : 0 (f x+C)/d have hg : Measurable g := (f.continuous.measurable.add_const C).div_const d have hbound (x : X) : |f x|≤C := f.norm_coe_le_norm x have h0 (x : X) : 0≤g x := div_nonneg (by linarith [(abs_le.mp (hbound x)).1]) hd.le have h1 (x : X) : g x≤1 := by apply (div_le_one hd).mpr dsimp only [d] linarith [(abs_le.mp (hbound x)).2] obtain ⟨G,hGm,hGb,hGT,hGconv⟩ := forward_backward_birkhoff hT hS hST hTS hg h0 h1 obtain ⟨H,hHm,hHb,hHT,hHconv,hHint⟩ := exists_bounded_birkhoff_limit hT hg h0 h1 have hGH : G=ᵐ[μ] H := by filter_upwards [hGconv,hHconv] with x hx hy exact tendsto_nhds_unique hx.1 hy let F : X → ℝ := fun x => d*G x-C have hFi : Integrable F μ := by apply (integrable_const (d+C)).mono' ((measurable_const.mul hGm).sub_const C).aestronglyMeasurable apply Eventually.of_forall intro x change |d*G x-C|≤d+C rw [abs_le] constructor <;> nlinarith [(hGb x).1,(hGb x).2] have hconv {U : X → X} {x : X} (hu : Tendsto (fun n : ℕ => birkhoffSum U g n x/(n : ℝ)) atTop (𝓝 (G x))) : Tendsto (fun n : ℕ => birkhoffSum U f n x/(n : ℝ)) atTop (𝓝 (F x)) := by apply ((hu.const_mul d).sub_const C).congr' filter_upwards [eventually_ne_atTop 0] with n hn have hn' : (n : ℝ)≠0 := by exact_mod_cast hn have he : birkhoffSum U g n x=(birkhoffSum U f n x+(n : ℝ)*C)/d := by simp only [birkhoffSum,g] rw [←Finset.sum_div,Finset.sum_add_distrib] simp only [Finset.sum_const,Finset.card_range,nsmul_eq_mul] rw [he] field_simp ring refine ⟨F,(measurable_const.mul hGm).sub_const C,fun x => by simp only [F,hGT],?_,?_⟩ · exact hGconv.mono fun x hx => ⟨hconv hx.1,hconv hx.2⟩ · intro A hA hTA have hHi : Integrable H μ := (integrable_const (1 : ℝ)).mono' hHm.aestronglyMeasurable (Eventually.of_forall fun x => by rw [Real.norm_eq_abs,abs_of_nonneg (hHb x).1]; exact (hHb x).2) have hf : Integrable (fun x => f x) μ := (integrable_const C).mono' f.continuous.measurable.aestronglyMeasurable (Eventually.of_forall hbound) have he : (fun x => F x)=ᵐ[μ.restrict A] (fun x => d*H x-C) := (ae_restrict_of_ae hGH).mono fun x hx => by simp only [F,hx] rw [integral_congr_ae he,integral_sub (hHi.const_mul d).integrableOn (integrable_const C), integral_const_mul,hHint A hA hTA] have hge : (∫ x in A,g x ∂μ)=((∫ x in A,f x ∂μ)+(∫ x in A,C ∂μ))/d := by dsimp only [g] rw [integral_div,integral_add hf.integrableOn (integrable_const C)] rw [hge] field_simp ring end BoundedSubadditive end section open MeasureTheory Filter Set open scoped Topology ENNReal namespace BoundedSubadditive variable {X : Type*} [MetricSpace X] [CompactSpace X] [MeasurableSpace X] [BorelSpace X] structure ContinuousBirkhoffCode (T S : X → X) (μ : Measure X) where observation : ℕ → C(X,ℝ) dense : DenseRange observation value : X → ℕ → ℝ measurable : Measurable value invariant : ∀ x,value (T x)=value x generic : ∀ᵐ x ∂μ,∀ j : ℕ, Tendsto (fun n : ℕ => birkhoffSum T (observation j) n x/(n : ℝ)) atTop (𝓝 (value x j)) ∧ Tendsto (fun n : ℕ => birkhoffSum S (observation j) n x/(n : ℝ)) atTop (𝓝 (value x j)) integral : ∀ (A : Set X), MeasurableSet A → T ⁻¹' A=A → ∀ j : ℕ, ∫ x in A,value x j ∂μ=∫ x in A,observation j x ∂μ theorem exists_continuousBirkhoffCode {μ : Measure X} [IsFiniteMeasure μ] {T S : X → X} (hT : MeasurePreserving T μ μ) (hS : MeasurePreserving S μ μ) (hST : ∀ x,S (T x)=x) (hTS : ∀ x,T (S x)=x) : Nonempty (ContinuousBirkhoffCode T S μ) := by obtain ⟨f,hf⟩ := TopologicalSpace.exists_dense_seq C(X,ℝ) choose F hFm hFT hFconv hFint using fun j => continuous_birkhoff_limit hT hS hST hTS (f j) exact ⟨{ observation := f, dense := hf, value := fun x j => F j x, measurable := Measurable.of_eval hFm, invariant := fun x => funext fun j => hFT j x, generic := ae_all_iff.mpr hFconv, integral := fun A hA hTA j => hFint j A hA hTA }⟩ lemma continuousMap_integrable (μ : Measure X) [IsFiniteMeasure μ] (f : C(X,ℝ)) : Integrable f μ := f.continuous.integrable_of_hasCompactSupport (HasCompactSupport.of_compactSpace f) lemma continuous_integral_continuousMap (μ : Measure X) [IsFiniteMeasure μ] : Continuous (fun f : C(X,ℝ) => ∫ x,f x ∂μ) := by apply (LipschitzWith.of_dist_le_mul (K := ⟨μ.real univ,ENNReal.toReal_nonneg⟩) ?_).continuous intro f g rw [dist_eq_norm,←integral_sub (continuousMap_integrable μ f) (continuousMap_integrable μ g),dist_eq_norm] exact (norm_integral_le_of_norm_le_const (Eventually.of_forall fun x => (f-g).norm_coe_le_norm x)).trans_eq (mul_comm _ _) lemma measure_eq_of_dense_continuous_integrals {μ ν : Measure X} [IsFiniteMeasure μ] [IsFiniteMeasure ν] {f : ℕ → C(X,ℝ)} (hf : DenseRange f) (he : ∀ j,∫ x,f j x ∂μ=∫ x,f j x ∂ν) : μ=ν := by have hfun := hf.equalizer (continuous_integral_continuousMap μ) (continuous_integral_continuousMap ν) (funext he) apply Measure.ext_of_integral_eq_on_compactlySupported intro g exact congrFun hfun g.toContinuousMap end BoundedSubadditive end end end OAI