Pointwise ergodic theorems for non-conventional bilinear polynomial averages

Loading leaderboard data…

Problem statement

Notes: Unavailable.

Source: B. Krause, M. Mirek, and T. Tao, `Pointwise ergodic theorems for non-conventional bilinear polynomial averages`, Annals of Math, 195 (3) 2022. Statement taken from https://github.com/ImperialCollegeLondon/AnnalsChallenge (v1.0.0, e32eb14), AnnalsChallenge/AnnalsOfMathematics/2022-195-3-PointwiseErgodicTheorems.lean

Informal solution: Unavailable.

/-- Statement of Theorem 1.17(i) (Mean ergodic theorem): The averages `A T N X P f g` converge as `N → ∞` in `Lᵖ(X)` norm. -/ theorem declaration uses `sorry`theorem_1_17_i {f g : 𝓧 } (hf : MemLp f p₁ μ) (hg : MemLp g p₂ μ) : h : 𝓧 , MemLp h p μ Tendsto (fun N eLpNorm (A T N (X : [X]) P f g - h) p μ) atTop (𝓝 0) := 𝓧:Type u_1σX:MeasurableSpace 𝓧μ:Measure 𝓧inst✝:SigmaFinite μT:𝓧 ≃ᵐ 𝓧hT:MeasurePreserving (⇑T) μ μP:[X]hP:P.degree 2p₁:ℝ≥0∞p₂:ℝ≥0∞p:ℝ≥0∞h₁p₁:1 < p₁h₁p₂:1 < p₂h₂p₁:p₁ < h₂p₂:p₂ < hp₁p₂p:p₁⁻¹ + p₂⁻¹ = p⁻¹hp:p⁻¹ 1f:𝓧 g:𝓧 hf:MemLp f p₁ μhg:MemLp g p₂ μ h, MemLp h p μ Tendsto (fun N => eLpNorm (A T N X P f g - h) p μ) atTop (𝓝 0) All goals completed! 🐙
/-- Statement of Theorem 1.16(ii) (Pointwise ergodic theorem): The averages `A T N X P f g` converge as `N → ∞` pointwise almost everywhere. -/ theorem declaration uses `sorry`theorem_1_17_ii {f g : 𝓧 } (hf : MemLp f p₁ μ) (hg : MemLp g p₂ μ) : h : 𝓧 , MemLp h p μ ∀ᵐ x μ, Tendsto (fun N A T N (X : [X]) P f g x) atTop (𝓝 (h x)) := 𝓧:Type u_1σX:MeasurableSpace 𝓧μ:Measure 𝓧inst✝:SigmaFinite μT:𝓧 ≃ᵐ 𝓧hT:MeasurePreserving (⇑T) μ μP:[X]hP:P.degree 2p₁:ℝ≥0∞p₂:ℝ≥0∞p:ℝ≥0∞h₁p₁:1 < p₁h₁p₂:1 < p₂h₂p₁:p₁ < h₂p₂:p₂ < hp₁p₂p:p₁⁻¹ + p₂⁻¹ = p⁻¹hp:p⁻¹ 1f:𝓧 g:𝓧 hf:MemLp f p₁ μhg:MemLp g p₂ μ h, MemLp h p μ ∀ᵐ (x : 𝓧) μ, Tendsto (fun N => A T N X P f g x) atTop (𝓝 (h x)) All goals completed! 🐙
/-- The constant of Theorem 1.17 (iii). -/ noncomputable def declaration uses `sorry`Cᵢᵢᵢ (P : [X]) (p₁ p₂ : ℝ≥0∞) : ℝ≥0 := sorry
/-- Statement of Theorem 1.17(iii) (Maximal ergodic theorem): There exists a constant `C ≥ 0` such that for any `f ∈ Lᵖ₁(X)` and `g ∈ Lᵖ₂(X)`, `‖A T (N : ℕ+) X P f g‖_{Lᵖ(X;ℓ∞)} ≤ C ‖f‖_{Lᵖ₁(X)} ‖g‖_{Lᵖ₂(X)}`. -/ theorem declaration uses `sorry`theorem_1_17_iii {f g : 𝓧 } (hf : MemLp f p₁ μ) (hg : MemLp g p₂ μ) : eLpNorm (fun x (N : ℕ+), A T N (X : [X]) P f g x‖ₑ) p μ Cᵢᵢᵢ P p₁ p₂ * hf.toLp‖ₑ * hg.toLp‖ₑ := 𝓧:Type u_1σX:MeasurableSpace 𝓧μ:Measure 𝓧inst✝:SigmaFinite μT:𝓧 ≃ᵐ 𝓧hT:MeasurePreserving (⇑T) μ μP:[X]hP:P.degree 2p₁:ℝ≥0∞p₂:ℝ≥0∞p:ℝ≥0∞h₁p₁:1 < p₁h₁p₂:1 < p₂h₂p₁:p₁ < h₂p₂:p₂ < hp₁p₂p:p₁⁻¹ + p₂⁻¹ = p⁻¹hp:p⁻¹ 1f:𝓧 g:𝓧 hf:MemLp f p₁ μhg:MemLp g p₂ μeLpNorm (fun x => N, A T (↑N) X P f g x‖ₑ) p μ (Cᵢᵢᵢ P p₁ p₂) * MemLp.toLp f hf‖ₑ * MemLp.toLp g hg‖ₑ All goals completed! 🐙
/-- The constant of Theorem 1.17 (iv). -/ noncomputable def declaration uses `sorry`Cᵢᵥ (P : [X]) (p₁ p₂ : ℝ≥0∞) (r Λ : ℝ≥0) : ℝ≥0 := sorry
/-- Statement of Theorem 1.17(iv) (Long variational ergodic theorem): For any `r > 2` and `Λ > 1`, there exists a constant `C ≥ 0` such that for any `f ∈ Lᵖ₁(X)`, `g ∈ Lᵖ₂(X)` and `Λ`-lacunary sequence `a` such that `1 ≤ a n` for all `n ∈ ℕ`, `‖A T (a n) X P f g‖_{Lᵖ(X;Vʳ)} ≤ C ‖f‖_{Lᵖ₁(X)} ‖g‖_{Lᵖ₂(X)}`. -/ theorem declaration uses `sorry`theorem_1_17_iv (r Λ : ℝ≥0) (hr : r > 2) ( : Λ > 1) {f g : 𝓧 } (hf : MemLp f p₁ μ) (hg : MemLp g p₂ μ) (a : ℝ≥0) (ha : Lacunary Λ a) (ha' : n, 1 a n) : eLpNorm (fun x variationalNorm r fun n A T (a n) X P f g x) p μ Cᵢᵥ P p₁ p₂ r Λ * hf.toLp‖ₑ * hg.toLp‖ₑ := 𝓧:Type u_1σX:MeasurableSpace 𝓧μ:Measure 𝓧inst✝:SigmaFinite μT:𝓧 ≃ᵐ 𝓧hT:MeasurePreserving (⇑T) μ μP:[X]hP:P.degree 2p₁:ℝ≥0∞p₂:ℝ≥0∞p:ℝ≥0∞h₁p₁:1 < p₁h₁p₂:1 < p₂h₂p₁:p₁ < h₂p₂:p₂ < hp₁p₂p:p₁⁻¹ + p₂⁻¹ = p⁻¹hp:p⁻¹ 1r:ℝ≥0Λ:ℝ≥0hr:r > 2:Λ > 1f:𝓧 g:𝓧 hf:MemLp f p₁ μhg:MemLp g p₂ μa: ℝ≥0ha:Lacunary Λ aha': (n : ), 1 a neLpNorm (fun x => variationalNorm r fun n => A T (a n) X P f g x) p μ (Cᵢᵥ P p₁ p₂ r Λ) * MemLp.toLp f hf‖ₑ * MemLp.toLp g hg‖ₑ All goals completed! 🐙