Carleson Blueprint

1.2. Proof of Metric Space Carleson, overview🔗

This section organizes the proof of Theorem 1.1.1.1 into sections Proof of Metric Space Carleson, Proof of Finitary Carleson, Proof of discrete Carleson, Proof of the Antichain Operator Proposition, Proof of the Forest Operator Proposition, Proof of the Holder cancellative condition, and Proof of Vitali covering and Hardy--Littlewood. These sections are mutually independent except for referring to the statements formulated in the present section. Proof of Metric Space Carleson proves the main Theorem 1.1.1.1, while sections Proof of Finitary Carleson, Proof of discrete Carleson, Proof of the Antichain Operator Proposition, Proof of the Forest Operator Proposition, Proof of the Holder cancellative condition, and Proof of Vitali covering and Hardy--Littlewood each prove one proposition that is stated in the present section. The present section also introduces all definitions used across these sections.

Auxiliary lemmas proves some auxiliary lemmas that are used in more than one of the sections 3-9.

Let a, q be given as in Theorem 1.1.1.1.

Define D:= 2^{100 a^2}, \kappa:= 2^{-10a}, and Z := 2^{12a}. Let \psi:\R \to \R be the unique compactly supported, piece-wise linear, continuous function with corners precisely at \frac 1{4D}, \frac 1{2D}, \frac 14 and \frac 12 which satisfies \sum_{s\in \mathbb{Z}} \psi(D^{-s}x)=1 for all x>0. This function vanishes outside [\frac1{4D},\frac 12], is constant one on [\frac1{2D},\frac 14], and is Lipschitz with constant 4D.

Let a doubling metric measure space (X,\rho,\mu,a) be given. Let a cancellative compatible collection \Mf of functions on X be given. Let o\in X be a point such that \mfa(o)=0 for all \mfa\in \Mf.

Let a Borel measurable function \tQ:X\to \Mf with finite range be given. Let a one-sided Calderon-Zygmund kernel K on X be given so that for every \mfa\in \Mf the operator T_{\tQ}^{\mfa} defined above satisfies the assumption linnontanbound.

For s\in\mathbb{Z}, we define K_s(x,y):=K(x,y)\psi(D^{-s}\rho(x,y)), so that for each x,y\in X with x\neq y we have K(x,y)=\sum_{s\in\mathbb{Z}}K_s(x,y).

In Proof of Metric Space Carleson, we prove Theorem 1.1.1.1 and Theorem 1.1.1.2 from the finitary version, Theorem 1.2.1 below. Recall that a function from a measure space to a finite set is measurable if the pre-image of each of the elements in the range is measurable.

Theorem1.2.1
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Theorem 1.2.2
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Let \sigma_1,\sigma_2\colon X\to \mathbb{Z} be measurable functions with finite range and \sigma_1\leq \sigma_2. Let F,G be bounded Borel sets in X. Then there is a Borel set G' in X with 2\mu(G')\leq \mu(G) such that for all Borel functions f:X\to \C with |f|\le \mathbf{1}_F, \int_{G \setminus G'} \left|\sum_{s={\sigma_1}(x)}^{{\sigma_2}(x)} \int K_s(x,y) f(y) e(\tQ(x)(y)) \, \mathrm{d}\mu(y) \right| \mathrm{d}\mu(x) \le \frac{2^{442a^3}}{(q-1)^5} \mu(G)^{1-\frac{1}{q}} \mu(F)^{\frac 1 q}.

Lean code for Theorem1.2.11 theorem
  • complete
    theorem finitary_carleson.{u_1} (X : Type u_1) {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X} [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G] :
       G',
        MeasurableSet G' 
          2 * MeasureTheory.volume G'  MeasureTheory.volume G 
             (f : X  ),
              Measurable f 
                (∀ (x : X), f x  F.indicator 1 x) 
                  ∫⁻ (x : X) in G \ G',
                       s  (Set.Icc (σ₁ x) (σ₂ x)).toFinset,
                           (y : X),
                            Ks s x y * f y *
                              Complex.exp (Complex.I * ((Q x) y))‖ₑ 
                    (C2_0_1 a (nnq X)) *
                        MeasureTheory.volume G ^ (1 - q⁻¹) *
                      MeasureTheory.volume F ^ q⁻¹
    theorem finitary_carleson.{u_1} (X : Type u_1)
      {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X}
      [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G] :
       G',
        MeasurableSet G' 
          2 * MeasureTheory.volume G' 
              MeasureTheory.volume G 
             (f : X  ),
              Measurable f 
                (∀ (x : X),
                    f x  F.indicator 1 x) 
                  ∫⁻ (x : X) in G \ G',
                      
                          s 
                            (Set.Icc (σ₁ x)
                                (σ₂
                                  x)).toFinset,
                           (y : X),
                            Ks s x y * f y *
                              Complex.exp
                                (Complex.I *
                                  ((Q x)
                                      y))‖ₑ 
                    (C2_0_1 a (nnq X)) *
                        MeasureTheory.volume
                            G ^
                          (1 - q⁻¹) *
                      MeasureTheory.volume F ^
                        q⁻¹
    Proposition 2.0.1 

Let measurable functions \sigma_1\leq \sigma_2\colon X\to \mathbb{Z} with finite range be given. Let bounded Borel sets F,G in X be given. Let S be the smallest integer such that the ranges of \sigma_1 and \sigma_2 are contained in [-S,S] and F and G are contained in the ball B(o, \frac{1}{4}D^S).

In Proof of Finitary Carleson, we prove Theorem 1.2.1 using a bound for a dyadic model formulated in Theorem 1.2.2 below.

A grid structure (\mathcal{D}, c, s) on X consists of a finite collection \mathcal{D} of pairs (I,k) of Borel sets in X and integers k \in [-S,S], the projection s\colon \mathcal{D}\to [-S,S], (I,k)\mapsto k to the second component which is assumed to be surjective and called scale function, and a function c:\mathcal{D}\to X called center function such that the five properties coverdyadic, dyadicproperty, subsetmaxcube, eq-vol-sp-cube, and eq-small-boundary hold. We call the elements of \mathcal{D} dyadic cubes. By abuse of notation, we will usually write just I for the cube (I,k), and we will write I \subset J to mean that for two cubes (I,k), (J,l) \in \mathcal{D} we have I \subset J and k \le l.

For each dyadic cube I and each -S\le k<s(I) we have I\subset \bigcup_{J\in \mathcal {D}: s(J)=k}J. Any two non-disjoint dyadic cubes I,J with s(I)\le s(J) satisfy I\subset J. There exists a I_0 \in \mathcal{D} with s(I_0) = S and c(I_0) = o and for all cubes J \in \mathcal{D}, we have J \subset I_0. For any dyadic cube I, c(I)\in B(c(I), \frac{1}{4} D^{s(I)}) \subset I \subset B(c(I), 4 D^{s(I)}). For any dyadic cube I and any t with tD^{s(I)} \ge D^{-S}, \mu(\{x \in I \ : \ \rho(x, X \setminus I) \leq t D^{s(I)}\}) \le 2 t^\kappa \mu(I).

A tile structure (\fP,\scI,\fc,\fcc,\pc,\ps) for a given grid structure (\mathcal{D}, c, s) is a finite set \fP of elements called tiles with five maps \scI\colon \fP\to {\mathcal{D}} \fc\colon \fP\to \mathcal{P}(\Mf) \fcc \colon \fP\to \tQ(X) \pc \colon \fP\to X \ps \colon \fP\to \mathbb{Z} with \scI surjective and \mathcal{P}(\Mf) denoting the power set of \Mf such that the five properties eq-dis-freq-cover, eq-freq-dyadic, eq-freq-comp-ball, tilecenter, and tilescale hold. For each dyadic cube I, the restriction of the map \Omega to the set \fP(I)=\{\fp: \scI(\fp) =I\} is injective and we have the disjoint covering property \tQ(X)\subset \dot{\bigcup}_{\fp\in \fP(I)}\fc(\fp). For any tiles \fp,\fq with \scI(\fp)\subset \scI(\fq) and \fc(\fp) \cap \fc(\fq) \neq \emptyset we have \fc(\fq)\subset \fc(\fp). For each tile \fp, \fcc(\fp)\in B_{\fp}(\fcc(\fp), 0.2) \subset \fc(\fp) \subset B_{\fp}(\fcc(\fp),1), where B_{\fp} (\mfa, R) := \{\mfb \in \Mf \, : \, d_{\fp}(\mfa, \mfb) < R\}, and d_{\fp} := d_{B(\pc(\fp),\frac 14 D^{\ps(\fp)})}. We have for each tile \fp \pc(\fp)=c(\scI(\fp)), \ps(\fp)=s(\scI(\fp)).

Theorem1.2.2
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Lemma 1.5.1.1
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Let (\mathcal{D}, c, s) be a grid structure and (\fP,\scI,\fc,\fcc,\pc,\ps) a tile structure for this grid structure. Define for \fp\in \fP E(\fp)=\{x\in \scI(\fp): \tQ(x)\in \fc(\fp) , {\sigma_1}(x)\le \ps(\fp)\le {\sigma_2}(x)\} and T_{\fp} f(x)= \mathbf{1}_{E(\fp)}(x) \int K_{\ps(\fp)}(x,y) f(y) e(\tQ(x)(y)-\tQ(x)(x))\, d\mu(y). Then there exists a Borel set G' with 2\mu(G') \leq \mu(G) such that for all Borel functions f:X\to \C with |f|\le \mathbf{1}_F we have \int_{G \setminus G'} \left| \sum_{\fp \in \fP} T_{\fp} f (x) \right| \, \mathrm{d}\mu(x) \le \frac{2^{442a^3}}{(q-1)^5} \mu(G)^{1-\frac{1}{q}} \mu(F)^{\frac{1}{q}}.

Lean code for Theorem1.2.21 theorem
  • complete
    theorem discrete_carleson.{u_1} (X : Type u_1) {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X} [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G]
      [TileStructure Q (defaultD a) (defaultκ a) (defaultS X)
          (cancelPt X)] :
       G',
        MeasurableSet G' 
          2 * MeasureTheory.volume G'  MeasureTheory.volume G 
             (f : X  ),
              Measurable f 
                (∀ (x : X), f x  F.indicator 1 x) 
                  ∫⁻ (x : X) in G \ G', carlesonSum Set.univ f x‖ₑ 
                    (C2_0_2 a (nnq X)) *
                        MeasureTheory.volume G ^ (1 - q⁻¹) *
                      MeasureTheory.volume F ^ q⁻¹
    theorem discrete_carleson.{u_1} (X : Type u_1)
      {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X}
      [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G]
      [TileStructure Q (defaultD a)
          (defaultκ a) (defaultS X)
          (cancelPt X)] :
       G',
        MeasurableSet G' 
          2 * MeasureTheory.volume G' 
              MeasureTheory.volume G 
             (f : X  ),
              Measurable f 
                (∀ (x : X),
                    f x  F.indicator 1 x) 
                  ∫⁻ (x : X) in G \ G',
                      carlesonSum Set.univ f
                          x‖ₑ 
                    (C2_0_2 a (nnq X)) *
                        MeasureTheory.volume
                            G ^
                          (1 - q⁻¹) *
                      MeasureTheory.volume F ^
                        q⁻¹

The proof of Theorem 1.2.2 is done in Proof of discrete Carleson by a reduction to two further propositions that we state below.

Fix a grid structure (\mathcal{D}, c, s) and a tile structure (\fP,\scI,\fc,\fcc,\pc,\ps) for this grid structure.

We define the relation \fp\le \fp' on \fP\times \fP meaning \scI(\fp)\subset \scI(\fp') and \Omega(\fp')\subset \Omega(\fp). We further define for \lambda,\lambda' >0 the relation \lambda \fp \lesssim \lambda' \fp' on \fP\times \fP meaning \scI(\fp)\subset \scI(\fp') and B_{\fp'}(\fcc(\fp'),\lambda') \subset B_{\fp}(\fcc(\fp),\lambda).

Define for a tile \fp and \lambda>0 E_1(\fp):=\{x\in \scI(\fp)\cap G: \tQ(x)\in \fc(\fp)\}, E_2(\lambda, \fp):=\{x\in \scI(\fp)\cap G: \tQ(x)\in B_{\fp}(\fcc(\fp), \lambda)\}.

Given a subset \fP' of \fP, we define \fP(\fP') to be the set of all \fp \in \fP such that there exist \fp' \in \fP' with \scI(\fp)\subset \scI(\fp'). Define the densities {\dens}_1(\fP') := \sup_{\fp'\in \fP'}\sup_{\lambda \geq 2} \lambda^{-a} \sup_{\fp \in \fP(\fP'), \lambda \fp' \lesssim \lambda \fp} \frac{\mu({E}_2(\lambda, \fp))}{\mu(\scI(\fp))}, {\dens}_2(\fP') := \sup_{\fp'\in \fP'} \sup_{r\ge 4D^{\ps(\fp)}} \frac{\mu(F\cap B(\pc(\fp),r))}{\mu(B(\pc(\fp),r))}.

An antichain is a subset \mathfrak{A} of \fP such that for any distinct \fp,\fq\in \mathfrak{A} we do not have \fp\le \fq.

The following proposition is proved in Proof of the Antichain Operator Proposition.

Theorem1.2.3
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Lemma 1.6.1.3
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For any antichain \mathfrak{A} and for all f:X\to \C with |f|\le \mathbf{1}_F and all g:X\to\C with |g| \le \mathbf{1}_G |\int \overline{g(x)} \sum_{\fp \in \mathfrak{A}} T_{\fp} f(x)\, d\mu(x)| \le \frac{2^{117a^3}}{q-1} \dens_1(\mathfrak{A})^{\frac {q-1}{8a^4}}\dens_2(\mathfrak{A})^{\frac 1{q}-\frac 12} \|f\|_2 \|g\|_2.

Lean code for Theorem1.2.31 theorem
  • complete
    theorem antichain_operator.{u_1} {X : Type u_1} {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X} [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G]
      [TileStructure Q (defaultD a) (defaultκ a) (defaultS X) (cancelPt X)]
      {𝔄 : Set (𝔓 X)} {f g : X  }
      (h𝔄 : IsAntichain (fun x1 x2  x1  x2) 𝔄) (hf : Measurable f)
      (hf1 :  (x : X), f x  F.indicator 1 x) (hg : Measurable g)
      (hg1 :  (x : X), g x  G.indicator 1 x) :
       (x : X), (starRingEnd ) (g x) * carlesonSum 𝔄 f x‖ₑ 
        (C2_0_3 a (nnq X)) * dens₁ 𝔄 ^ ((q - 1) / (8 * a ^ 4)) *
              dens₂ 𝔄 ^ (q⁻¹ - 2⁻¹) *
            MeasureTheory.eLpNorm f 2 MeasureTheory.volume *
          MeasureTheory.eLpNorm g 2 MeasureTheory.volume
    theorem antichain_operator.{u_1} {X : Type u_1}
      {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X}
      [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G]
      [TileStructure Q (defaultD a)
          (defaultκ a) (defaultS X)
          (cancelPt X)]
      {𝔄 : Set (𝔓 X)} {f g : X  }
      (h𝔄 :
        IsAntichain (fun x1 x2  x1  x2) 𝔄)
      (hf : Measurable f)
      (hf1 :
         (x : X), f x  F.indicator 1 x)
      (hg : Measurable g)
      (hg1 :
         (x : X), g x  G.indicator 1 x) :
       (x : X),
            (starRingEnd ) (g x) *
              carlesonSum 𝔄 f x‖ₑ 
        (C2_0_3 a (nnq X)) *
                dens₁ 𝔄 ^
                  ((q - 1) / (8 * a ^ 4)) *
              dens₂ 𝔄 ^ (q⁻¹ - 2⁻¹) *
            MeasureTheory.eLpNorm f 2
              MeasureTheory.volume *
          MeasureTheory.eLpNorm g 2
            MeasureTheory.volume
    Proposition 2.0.3. 

Let n\ge 0. An n-forest is a pair (\fU, \mathfrak{T}) where \fU is a subset of \fP and \mathfrak{T} is a map assigning to each \fu\in \fU a nonempty set \fT (\fu)\subset \fP called tree such that the following properties forest1, forest2, forest3, forest4, forest5, and forest6 hold.

For each \fu\in \fU and each \fp\in \fT(\fu) we have \scI(\fp) \ne \scI(\fu) and 4\fp\lesssim \fu. For each \fu \in \fU and each \fp,\fp''\in \fT(\fu) and \fp'\in \fP we have \fp, \fp'' \in \mathfrak{T}(\fu), \fp \leq \fp' \leq \fp'' \implies \fp' \in \mathfrak{T}(\fu). We have \|\sum_{\fu\in \fU} \mathbf{1}_{\scI(\fu)}\|_\infty \leq 2^n. We have for every \fu\in \fU \dens_1(\fT(\fu))\le 2^{4a + 1-n}. We have for \fu, \fu'\in \fU with \fu\neq \fu' and \fp\in \fT(\fu') with \scI(\fp)\subset \scI(\fu) that d_{\fp}(\fcc(\fp), \fcc(\fu))>2^{Z(n+1)}. We have for every \fu\in \fU and \fp\in \fT(\fu) that B(\pc(\fp), 8D^{\ps(\fp)})\subset \scI(\fu).

The following proposition is proved in Proof of the Forest Operator Proposition.

Theorem1.2.4
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Lemma 1.7.7.1
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For any n\ge 0 and any n-forest (\fU,\fT) we have for all f,g: X \to \mathbb{C} with |f| \le \mathbf{1}_F and |g| \le \mathbf{1}_G | \int \overline{g(x)} \sum_{\fu\in \fU} \sum_{\fp\in \fT(\fu)} T_{\fp} f(x) \, \mathrm{d}\mu(x)| \le 2^{440a^3}2^{-\frac{q-1}{q} n} \dens_2\left(\bigcup_{\fu\in \fU}\fT(\fu)\right)^{\frac{1}{q}-\frac{1}{2}} \|f\|_2 \|g\|_2.

Lean code for Theorem1.2.41 theorem
  • complete
    theorem forest_operator.{u_1} {X : Type u_1} {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X} [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G]
      [TileStructure Q (defaultD a) (defaultκ a) (defaultS X) (cancelPt X)]
      {n : } (𝔉 : TileStructure.Forest X n) {f g : X  }
      (hf : Measurable f) (h2f :  (x : X), f x  F.indicator 1 x)
      (hg : Measurable g) (h2g :  (x : X), g x  G.indicator 1 x) :
       (x : X),
            (starRingEnd ) (g x) *
               u with u  𝔉, carlesonSum ((fun x  𝔉.𝔗 x) u) f x‖ₑ 
        (C2_0_4 a q n) * dens₂ (⋃ u  𝔉, (fun x  𝔉.𝔗 x) u) ^ (q⁻¹ - 2⁻¹) *
            MeasureTheory.eLpNorm f 2 MeasureTheory.volume *
          MeasureTheory.eLpNorm g 2 MeasureTheory.volume
    theorem forest_operator.{u_1} {X : Type u_1}
      {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X}
      [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G]
      [TileStructure Q (defaultD a)
          (defaultκ a) (defaultS X)
          (cancelPt X)]
      {n : } (𝔉 : TileStructure.Forest X n)
      {f g : X  } (hf : Measurable f)
      (h2f :
         (x : X), f x  F.indicator 1 x)
      (hg : Measurable g)
      (h2g :
         (x : X), g x  G.indicator 1 x) :
       (x : X),
            (starRingEnd ) (g x) *
               u with u  𝔉,
                carlesonSum
                  ((fun x  𝔉.𝔗 x) u) f x‖ₑ 
        (C2_0_4 a q n) *
              dens₂
                  (⋃ u  𝔉,
                    (fun x  𝔉.𝔗 x) u) ^
                (q⁻¹ - 2⁻¹) *
            MeasureTheory.eLpNorm f 2
              MeasureTheory.volume *
          MeasureTheory.eLpNorm g 2
            MeasureTheory.volume

Theorem 1.1.1.1 is formulated at the level of generality for general kernels satisfying the mere Holder regularity condition eqkernel-y-smooth. On the other hand, the cancellative condition eq-vdc-cond is a testing condition against more regular, namely Lipschitz functions. To bridge the gap, we follow the literature to observe a variant of eq-vdc-cond that we formulate in the following proposition proved in Proof of the Holder cancellative condition.

Define \tau:=\frac 1a. Define for any open ball B of radius R in X the L^\infty-normalized \tau-Holder norm by \|\varphi\|_{C^\tau(B)} = \sup_{x \in B} |\varphi(x)| + R^\tau \sup_{x,y \in B, x \neq y} \frac{|\varphi(x) - \varphi(y)|}{\rho(x,y)^\tau}.

Theorem1.2.5
uses 1
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Lemma 1.6.1.5
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Let z\in X and R>0 and set B=B(z,R). Let \varphi: X \to \mathbb{C} be supported on B and satisfy \|{\varphi}\|_{C^\tau(B(z, 2R))}<\infty. Let \mfa, \mfb \in \Mf. Then |\int e(\mfa(x)-{\mfb(x)})\varphi(x) dx|\le 2^{7a} \mu(B) \|{\varphi}\|_{C^\tau(B(z, 2R))} (1 + d_{B}(\mfa,\mfb))^{-\frac{1}{2a^2+a^3}}.

Lean code for Theorem1.2.51 theorem
  • complete
    theorem holder_van_der_corput.{u_1} {X : Type u_1} {a : } {q : }
      {K : X  X  } {σ₁ σ₂ : X  } {F G : Set X} [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G] {z : X} {R : } {φ : X  }
      (φ_supp : Function.support φ  Metric.ball z R) {f g : Θ X} :
       (x : X), Complex.exp (Complex.I * ((f x) - (g x))) * φ x‖ₑ 
        (C2_0_5 a) * MeasureTheory.volume (Metric.ball z R) *
            iHolENorm φ z (2 * R) (defaultτ a) *
          (1 + edist_{z, R} f g) ^ (-(2 * a ^ 2 + a ^ 3)⁻¹)
    theorem holder_van_der_corput.{u_1} {X : Type u_1}
      {a : } {q : } {K : X  X  }
      {σ₁ σ₂ : X  } {F G : Set X}
      [MetricSpace X]
      [ProofData a q K σ₁ σ₂ F G] {z : X}
      {R : } {φ : X  }
      (φ_supp :
        Function.support φ  Metric.ball z R)
      {f g : Θ X} :
       (x : X),
            Complex.exp
                (Complex.I *
                  ((f x) - (g x))) *
              φ x‖ₑ 
        (C2_0_5 a) *
              MeasureTheory.volume
                (Metric.ball z R) *
            iHolENorm φ z (2 * R)
              (defaultτ a) *
          (1 + edist_{z, R} f g) ^
            (-(2 * a ^ 2 + a ^ 3)⁻¹)
    Proposition 2.0.5. 

We further formulate a classical Vitali covering result and maximal function estimate that we need throughout several sections. This following proposition will typically be applied to the absolute value of a complex valued function and be proved in Proof of Vitali covering and Hardy--Littlewood. By a ball B we mean a set B(x,r) with x\in X and r>0 as defined in eq-define-ball. For a finite collection \mathcal{B} of balls in X and 1\le p< \infty define the measurable function M_{\mathcal{B},p}u on X by M_{\mathcal{B},p}u(x):=\left(\sup_{B\in \mathcal{B}} \frac{\mathbf{1}_{B}(x)}{\mu(B)}\int _{B} |u(y)|^p\, d\mu(y)\right)^\frac 1p, Define further M_{\mathcal{B}}:=M_{\mathcal{B},1}.

Theorem1.2.6
uses 1 markupTeXL∃∀N

Let \mathcal{B} be a finite collection of balls in X. If for some \lambda>0 and some measurable function u:X\to [0,\infty) we have \int_{B} u(x)\, d\mu(x)\ge \lambda \mu(B) for each B\in \mathcal{B}, then \lambda \mu(\bigcup \mathcal{B}) \le 2^{2a}\int_X u(x)\, d\mu(x). For every measurable function v and 1\le p_1<p_2 we have \|M_{\mathcal{B},p_1} v\|_{p_2}\le 2^{2a}\frac{p_2}{p_2-p_1} \|v\|_{p_2}. Moreover, given any measurable bounded function w: X \to \C there exists a measurable function Mw: X \to [0, \infty) such that the following hold. For each ball B \subset X and each x \in B \frac{1}{\mu(B)} \int_{B} |w(y)| \, \mathrm{d}\mu(y) \le Mw(x) and for all 1 \le p_1 < p_2 \le \infty \|M(w^{p_1})^{\frac{1}{p_1}}\|_{p_2} \le 2^{4a} \frac{p_2}{p_2-p_1}\|w\|_{p_2}.

Lean code for Theorem1.2.64 theorems
  • complete
    theorem measure_biUnion_le_lintegral.{u_1, u_4} {X : Type u_1} {A : NNReal}
      [PseudoMetricSpace X] [MeasurableSpace X]
      {μ : MeasureTheory.Measure X} [μ.IsDoubling A] {ι : Type u_4}
      {c : ι  X} {r : ι  } [OpensMeasurableSpace X]
      [TopologicalSpace.SeparableSpace X] (𝓑 : Set ι) (l : ENNReal)
      (u : X  ENNReal)
      (h2u :
         i  𝓑,
          l * μ (Metric.ball (c i) (r i)) 
            ∫⁻ (x : X) in Metric.ball (c i) (r i), u x μ) :
      l * μ (⋃ i  𝓑, Metric.ball (c i) (r i))  A ^ 2 * ∫⁻ (x : X), u x μ
    theorem measure_biUnion_le_lintegral.{u_1, u_4}
      {X : Type u_1} {A : NNReal}
      [PseudoMetricSpace X]
      [MeasurableSpace X]
      {μ : MeasureTheory.Measure X}
      [μ.IsDoubling A] {ι : Type u_4}
      {c : ι  X} {r : ι  }
      [OpensMeasurableSpace X]
      [TopologicalSpace.SeparableSpace X]
      (𝓑 : Set ι) (l : ENNReal)
      (u : X  ENNReal)
      (h2u :
         i  𝓑,
          l * μ (Metric.ball (c i) (r i)) 
            ∫⁻ (x : X) in
              Metric.ball (c i) (r i),
              u x μ) :
      l *
          μ
            (⋃ i  𝓑,
              Metric.ball (c i) (r i)) 
        A ^ 2 * ∫⁻ (x : X), u x μ
  • complete
    theorem hasStrongType_maximalFunction.{u_1, u_2, u_3} {X : Type u_1}
      {E : Type u_2} {A : NNReal} [PseudoMetricSpace X] [MeasurableSpace X]
      [NormedAddCommGroup E] {μ : MeasureTheory.Measure X} [μ.IsDoubling A]
      {ι : Type u_3} {𝓑 : Set ι} {c : ι  X} {r : ι  } [BorelSpace X]
      [MeasureTheory.IsFiniteMeasureOnCompacts μ] [ProperSpace X]
      [μ.IsOpenPosMeasure] {p₁ p₂ : NNReal} (hp₁ : 0 < p₁)
      (hp₁₂ : p₁ < p₂) :
      MeasureTheory.HasStrongType (maximalFunction μ 𝓑 c r p₁) (↑p₂) (↑p₂)
        μ μ (C2_0_6 A p₁ p₂)
    theorem hasStrongType_maximalFunction.{u_1, u_2,
        u_3}
      {X : Type u_1} {E : Type u_2}
      {A : NNReal} [PseudoMetricSpace X]
      [MeasurableSpace X]
      [NormedAddCommGroup E]
      {μ : MeasureTheory.Measure X}
      [μ.IsDoubling A] {ι : Type u_3}
      {𝓑 : Set ι} {c : ι  X} {r : ι  }
      [BorelSpace X]
      [MeasureTheory.IsFiniteMeasureOnCompacts
          μ]
      [ProperSpace X] [μ.IsOpenPosMeasure]
      {p₁ p₂ : NNReal} (hp₁ : 0 < p₁)
      (hp₁₂ : p₁ < p₂) :
      MeasureTheory.HasStrongType
        (maximalFunction μ 𝓑 c r p₁) (↑p₂)
        (↑p₂) μ μ (C2_0_6 A p₁ p₂)
    The `maximalFunction` has strong type when `p₁ < p₂`. 
  • complete
    theorem measurable_maximalFunction.{u_1, u_2, u_3} {X : Type u_1} {E : Type u_2}
      [PseudoMetricSpace X] [MeasurableSpace X] [NormedAddCommGroup E]
      {μ : MeasureTheory.Measure X} {ι : Type u_3} {𝓑 : Set ι} {c : ι  X}
      {r : ι  } {p : } {u : X  E} [BorelSpace X] :
      Measurable (maximalFunction μ 𝓑 c r p u)
    theorem measurable_maximalFunction.{u_1, u_2, u_3}
      {X : Type u_1} {E : Type u_2}
      [PseudoMetricSpace X]
      [MeasurableSpace X]
      [NormedAddCommGroup E]
      {μ : MeasureTheory.Measure X}
      {ι : Type u_3} {𝓑 : Set ι} {c : ι  X}
      {r : ι  } {p : } {u : X  E}
      [BorelSpace X] :
      Measurable (maximalFunction μ 𝓑 c r p u)
  • complete
    theorem laverage_le_globalMaximalFunction.{u_1, u_2} {X : Type u_1}
      {E : Type u_2} [PseudoMetricSpace X] [MeasurableSpace X]
      [NormedAddCommGroup E] {μ : MeasureTheory.Measure X} {u : X  E}
      {x : X} [MeasureTheory.IsFiniteMeasureOnCompacts μ]
      [μ.IsOpenPosMeasure] {z : X} {r : } (h : dist x z < r) :
      ⨍⁻ (y : X) in Metric.ball z r, u y‖ₑ μ 
        globalMaximalFunction μ 1 u x
    theorem laverage_le_globalMaximalFunction.{u_1,
        u_2}
      {X : Type u_1} {E : Type u_2}
      [PseudoMetricSpace X]
      [MeasurableSpace X]
      [NormedAddCommGroup E]
      {μ : MeasureTheory.Measure X}
      {u : X  E} {x : X}
      [MeasureTheory.IsFiniteMeasureOnCompacts
          μ]
      [μ.IsOpenPosMeasure] {z : X} {r : }
      (h : dist x z < r) :
      ⨍⁻ (y : X) in Metric.ball z r,
          u y‖ₑ μ 
        globalMaximalFunction μ 1 u x
    The average of the norm of a function over a particular ball is smaller than the value of the
    `globalMaximalFuntion` at a point inside that ball. 

This completes the overview of the proof of Theorem 1.1.1.1.

1.2.1. Auxiliary lemmas🔗

We close this section by recording some auxiliary lemmas about the objects defined in Proof of Metric Space Carleson, overview, which will be used in multiple sections to follow.

First, we record an estimate for the metrical entropy numbers of balls in the space \Mf equipped with any of the metrics d_B, following from the doubling property thirddb.

Lemma1.2.1.1
uses 0used by 1markupTeXL∃∀N

Let B' \subset X be a ball. Let r > 0, \mfa \in \Mf and k \in \mathbb{N}. Suppose that \mathcal{Z} \subset B_{B'}(\mfa, r2^k) satisfies that \{B_{B'}(z,r)\mid z \in \mathcal{Z}\} is a collection of pairwise disjoint sets. Then |\mathcal{Z}| \le 2^{ka}.

Lean code for Lemma1.2.1.11 theorem
  • theoremdefined in Carleson/ProofData.lean
    complete
    theorem Θ.finite_and_mk_le_of_le_dist.{u_1} {X : Type u_1} {a : } {q : }
      {K : X  X  } {σ₁ σ₂ : X  } {F G : Set X} [PseudoMetricSpace X]
      [ProofData a q K σ₁ σ₂ F G] {x₀ : X} {r R : } {f : Θ X} {k : }
      {𝓩 : Set (Θ X)} (h𝓩 : 𝓩  ball_{x₀, R} f (r * 2 ^ k))
      (h2𝓩 : 𝓩.PairwiseDisjoint fun x  ball_{x₀, R} x r) :
      𝓩.Finite  Cardinal.mk 𝓩  (C2_1_1 k a)
    theorem Θ.finite_and_mk_le_of_le_dist.{u_1}
      {X : Type u_1} {a : } {q : }
      {K : X  X  } {σ₁ σ₂ : X  }
      {F G : Set X} [PseudoMetricSpace X]
      [ProofData a q K σ₁ σ₂ F G] {x₀ : X}
      {r R : } {f : Θ X} {k : }
      {𝓩 : Set (Θ X)}
      (h𝓩 : 𝓩  ball_{x₀, R} f (r * 2 ^ k))
      (h2𝓩 :
        𝓩.PairwiseDisjoint fun x 
          ball_{x₀, R} x r) :
      𝓩.Finite 
        Cardinal.mk 𝓩  (C2_1_1 k a)
Proof for Lemma 1.2.1.1
uses 0

Proof. By applying property thirddb k times, we obtain a collection \mathcal{Z}' \subset \Mf with |\mathcal{Z}'| = 2^{ka} and B_{B'}(\mfa,r2^k) \subset \bigcup_{z' \in \mathcal{Z}'} B_{B'}(z', \frac{r}{2}). Then each z \in \mathcal{Z} is contained in one of the balls B(z', \frac{r}{2}), but by the separation assumption no such ball contains more than one element of \mathcal{Z}. Thus |\mathcal{Z}| \le |\mathcal{Z}'| = 2^{ka}.

The next lemma concerns monotonicity of the metrics d_{B(c(I), \frac 14 D^{s(I)})} with respect to inclusion of cubes I in a grid.

Lemma1.2.1.2
uses 0 markupTeXL∃∀N

Let (\mathcal{D}, c, s) be a grid structure. Denote for cubes I \in \mathcal{D} I^\circ := B(c(I), \frac{1}{4} D^{s(I)}). Let I, J \in \mathcal{D} with I \subset J. Then for all \mfa, \mfb \in\Mf we have d_{I^\circ}(\mfa, \mfb) \le d_{J^\circ}(\mfa, \mfb), and if I \ne J then we have d_{I^\circ}(\mfa, \mfb) \le 2^{-95a} d_{J^\circ}(\mfa, \mfb).

Lean code for Lemma1.2.1.22 theorems
  • theoremdefined in Carleson/GridStructure.lean
    complete
    theorem Grid.dist_mono.{u_1} {X : Type u_1} [PseudoMetricSpace X] {a : }
      {q : } {K : X  X  } {σ₁ σ₂ : X  } {F G : Set X}
      [ProofData a q K σ₁ σ₂ F G]
      [GridStructure X (defaultD a) (defaultκ a) (defaultS X) (cancelPt X)]
      {I J : Grid X} (hpq : I  J) {f g : Θ X} :
      dist_{c I, (defaultD a) ^ s I / 4} f g 
        dist_{c J, (defaultD a) ^ s J / 4} f g
    theorem Grid.dist_mono.{u_1} {X : Type u_1}
      [PseudoMetricSpace X] {a : } {q : }
      {K : X  X  } {σ₁ σ₂ : X  }
      {F G : Set X}
      [ProofData a q K σ₁ σ₂ F G]
      [GridStructure X (defaultD a)
          (defaultκ a) (defaultS X)
          (cancelPt X)]
      {I J : Grid X} (hpq : I  J)
      {f g : Θ X} :
      dist_{c I, (defaultD a) ^ s I / 4} f
          g 
        dist_{c J, (defaultD a) ^ s J / 4} f
          g
    Weaker version of Lemma 2.1.2. 
  • theoremdefined in Carleson/GridStructure.lean
    complete
    theorem Grid.dist_strictMono.{u_1} {X : Type u_1} [PseudoMetricSpace X] {a : }
      {q : } {K : X  X  } {σ₁ σ₂ : X  } {F G : Set X}
      [ProofData a q K σ₁ σ₂ F G]
      [GridStructure X (defaultD a) (defaultκ a) (defaultS X) (cancelPt X)]
      {I J : Grid X} (hpq : I < J) {f g : Θ X} :
      dist_{c I, (defaultD a) ^ s I / 4} f g 
        C2_1_2 a * dist_{c J, (defaultD a) ^ s J / 4} f g
    theorem Grid.dist_strictMono.{u_1} {X : Type u_1}
      [PseudoMetricSpace X] {a : } {q : }
      {K : X  X  } {σ₁ σ₂ : X  }
      {F G : Set X}
      [ProofData a q K σ₁ σ₂ F G]
      [GridStructure X (defaultD a)
          (defaultκ a) (defaultS X)
          (cancelPt X)]
      {I J : Grid X} (hpq : I < J)
      {f g : Θ X} :
      dist_{c I, (defaultD a) ^ s I / 4} f
          g 
        C2_1_2 a *
          dist_{c J, (defaultD a) ^ s J / 4}
            f g
    Stronger version of Lemma 2.1.2. 
Proof for Lemma 1.2.1.2
uses 0

Proof. If s(I) \ge s(J) then dyadicproperty and the assumption I\subset J imply I = J. Then the lemma holds by reflexivity. If s(J) \ge s(I)+1, then using the monotonicity property monotonedb, defineD and seconddb, we get d_{I^\circ}(\mfa, \mfb) \le d_{B(c(I), 4 D^{s(I)})}(\mfa, \mfb) \le 2^{-100a} d_{B(c(I), 4D^{s(J)})}(\mfa, \mfb). Using eq-vol-sp-cube, together with the inclusion I \subset J, we obtain c(I) \in I \subset J \subset B(c(J), 4 D^{s(J)}) and consequently by the triangle inequality B(c(I), 4 D^{s(J)}) \subset B(c(J), 8 D^{s(J)}). Using this together with the monotonicity property monotonedb and firstdb in the previous estimate, we obtain d_{I^\circ}(\mfa, \mfb) \le 2^{-100a} d_{B(c(J), 8D^{s(J)})}(\mfa, \mfb) \le 2^{-100a + 5a} d_{B(c(J), \frac{1}{4}D^{s(J)})}(\mfa, \mfb) = 2^{-95a}d_{J^\circ}(\mfa, \mfb). This proves the second inequality claimed in the Lemma, from which the first follows since a \ge 4 and hence 2^{-95a} \le 1.

We also record the following basic estimates for the kernels K_s.

Lemma1.2.1.3
uses 0
Used by 2
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Lemma 1.7.1.4
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markupTeXL∃∀N

Let -S\le s\le S and x,y,y'\in X. If K_s(x,y)\neq 0, then we have \frac{1}{4} D^{s-1} \leq \rho(x,y) \leq \frac{1}{2} D^s. We have |K_s(x,y)|\le \frac{2^{102 a^3}}{\mu(B(x, D^{s}))}, and |K_s(x,y)-K_s(x, y')|\le \frac{2^{127a^3}}{\mu(B(x, D^{s}))} \left(\frac{ \rho(y,y')}{D^s}\right)^{\frac 1a}.

Lean code for Lemma1.2.1.33 theorems
  • theoremdefined in Carleson/Psi.lean
    complete
    theorem dist_mem_Icc_of_Ks_ne_zero.{u_1} {X : Type u_1} {a : } {K : X  X  }
      [PseudoMetricSpace X] [KernelProofData a K] {s : } {x y : X}
      (h : Ks s x y  0) :
      dist x y 
        Set.Icc ((defaultD a) ^ (s - 1) / 4) ((defaultD a) ^ s / 2)
    theorem dist_mem_Icc_of_Ks_ne_zero.{u_1}
      {X : Type u_1} {a : } {K : X  X  }
      [PseudoMetricSpace X]
      [KernelProofData a K] {s : } {x y : X}
      (h : Ks s x y  0) :
      dist x y 
        Set.Icc ((defaultD a) ^ (s - 1) / 4)
          ((defaultD a) ^ s / 2)
    Lemma 2.1.3 part 1, equation (2.1.2) 
  • theoremdefined in Carleson/Psi.lean
    complete
    theorem enorm_Ks_le.{u_1} {X : Type u_1} {a : } {K : X  X  }
      [PseudoMetricSpace X] [KernelProofData a K] {s : } {x y : X} :
      Ks s x y‖ₑ 
        (C2_1_3 a) /
          MeasureTheory.volume (Metric.ball x ((defaultD a) ^ s))
    theorem enorm_Ks_le.{u_1} {X : Type u_1} {a : }
      {K : X  X  } [PseudoMetricSpace X]
      [KernelProofData a K] {s : }
      {x y : X} :
      Ks s x y‖ₑ 
        (C2_1_3 a) /
          MeasureTheory.volume
            (Metric.ball x
              ((defaultD a) ^ s))
    Lemma 2.1.3 part 2, equation (2.1.3) 
  • theoremdefined in Carleson/Psi.lean
    complete
    theorem enorm_Ks_sub_Ks_le.{u_1} {X : Type u_1} {a : } {K : X  X  }
      [PseudoMetricSpace X] [KernelProofData a K] {s : } {x y y' : X} :
      Ks s x y - Ks s x y'‖ₑ 
        (D2_1_3 a) /
            MeasureTheory.volume (Metric.ball x ((defaultD a) ^ s)) *
          (edist y y' / (defaultD a) ^ s) ^ (↑a)⁻¹
    theorem enorm_Ks_sub_Ks_le.{u_1} {X : Type u_1}
      {a : } {K : X  X  }
      [PseudoMetricSpace X]
      [KernelProofData a K] {s : }
      {x y y' : X} :
      Ks s x y - Ks s x y'‖ₑ 
        (D2_1_3 a) /
            MeasureTheory.volume
              (Metric.ball x
                ((defaultD a) ^ s)) *
          (edist y y' / (defaultD a) ^ s) ^
            (↑a)⁻¹
    Lemma 2.1.3 part 3, equation (2.1.4) 
Proof for Lemma 1.2.1.3
uses 0

Proof. By Definition defks, the function K_s is the product of K with a function which is supported in the set of all x,y satisfying supp-Ks. This proves supp-Ks. Using eqkernel-size and the lower bound in supp-Ks we obtain |K_s(x,y)|\le |K(x,y)|\le \frac{2^{a^3}}{\mu(B(x,\frac 14 D^{s-1}))}. Using D=2^{100a^2} and the doubling property doublingx 2 +100a^2 times estimates the last display by \le \frac{2^{2a+101a^3}}{\mu(B(x, D^{s}))}. Using a\ge 4 proves eq-Ks-size. To prove eq-Ks-smooth when 2\rho(y,y') > \rho(x,y), use the lower bound in supp-Ks and the inequality 2\rho(y,y') > \frac{1}{4}D^{s-1}. Then eq-Ks-smooth follows from the triangle inequality, eq-Ks-size and a \ge 4. If 2\rho(y,y') \le \rho(x,y), we rewrite |K_s(x,y)-K_s(x, y')| as |(K(x,y)-K(x,y')) \psi(D^{-s}\rho(x,y)) + K(x,y)(\psi(D^{-s}\rho(x,y))-\psi(D^{-s}\rho(x,y')))|. An upper bound for |K(x,y)-K(x, y')| is obtained similarly to the proof of eq-Ks-size, using eqkernel-y-smooth and the lower bound in supp-Ks |K(x,y)-K(x, y')|\le \frac{2^{a^3}}{\mu(B(x, \frac 14 D^{s-1}))} \left(\frac{ \rho(y,y')}{\frac 14 D^{s-1}}\right)^{\frac 1a}. As above, this is estimated by \le \frac{4D 2^{2a+101a^3}}{\mu(B(x, D^{s}))} \left(\frac{ \rho(y,y')}{D^{s}}\right)^{\frac 1a} = \frac{2^{2+2a+100a^2+101a^3}}{\mu(B(x, D^{s}))} \left(\frac{ \rho(y,y')}{D^{s}}\right)^{\frac 1a}. We have the trivial bound |\psi(D^{-s}\rho(x,y))| \leq 1, and eq-Ks-aux provides a bound for |K(x,y)|. Finally, we show that |\psi(D^{-s}\rho(x,y))-\psi(D^{-s}\rho(x,y'))|\le 4D \left(\frac{\rho(y, y')}{D ^ s}\right)^{\frac 1a} by considering separately the cases \rho(y,y')/D^s \ge 1 and \rho(y,y')/D^s < 1. In the former case, the inequality is trivial; in the latter case, it follows from the fact that \psi is Lipschitz with constant 4D. Combining the above bounds and using a\ge 4 proves eq-Ks-smooth when 2\rho(y,y') \le \rho(x,y).