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The Hardy-Littlewood Maximal Function and the Vitali Covering Lemma · Tutorial 603 of 798

Measurability of Maximal Functions

Learn why continuity of ball averages makes both centered and uncentered maximal functions measurable, even when their defining suprema range over uncountably many balls.

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What You'll Learn

  • Define centered and uncentered maximal functions for locally integrable functions on Euclidean space
  • Prove continuity of ball averages as the center and radius vary
  • Reduce centered maximal functions to a supremum over rational radii
  • Reduce uncentered maximal functions to a countable family of rational balls
  • Identify why integer radii alone are not enough for the centered supremum

Why Measurability Needs Attention

The centered Hardy–Littlewood maximal function is defined by taking a supremum over every positive radius, and the uncentered version takes a supremum over every ball containing the point. A supremum over an uncountable family of measurable functions is not automatically measurable. The remedy is to show that ball averages vary continuously with their parameters, then replace the uncountable choices by countable dense families.

Throughout, we work on \((\mathbb{R}^n,\mathcal{L},m)\), with Lebesgue measure, which is complete and sigma-finite. Let \(f:\mathbb{R}^n\to\mathbb{R}\) or \(\mathbb{C}\) be Lebesgue measurable and locally integrable, meaning that \(\int_K |f|\,dm<\infty\) for every compact set \(K\). The maximal functions below are nonnegative extended-real-valued functions; they may take the value \(+\infty\). Write \(B(x,r)=\{y:|y-x|<r\}\), and let \(v_n=m(B(0,1))\), so \(m(B(x,r))=v_nr^n>0\).

Definition: For \(r>0\), the centered average of \(|f|\) at \(x\) is \(A_r f(x)=\dfrac{1}{m(B(x,r))}\int_{B(x,r)}|f(y)|\,dm(y)\). The centered maximal function is \(M_cf(x)=\sup_{r>0}A_rf(x)\). The uncentered maximal function is \(M_uf(x)=\sup_{x\in B}\dfrac{1}{m(B)}\int_B|f(y)|\,dm(y)\), where the supremum is over all open Euclidean balls \(B\) containing \(x\).

Each average is finite: the closure of any ball is compact, and local integrability makes the integral of \(|f|\) over that closure finite. We will show that both maximal functions are Lebesgue measurable as extended-real-valued functions.

Continuity of Ball Integrals

The basic fact is that changing the center or radius slightly changes a ball only by a thin shell. Here is the precise measure estimate behind that statement. Suppose \(c_j\to c\) in \(\mathbb{R}^n\) and \(r_j\to r>0\), and put \(\delta_j=|c_j-c|+|r_j-r|\). If a point \(y\) belongs to exactly one of \(B(c_j,r_j)\) and \(B(c,r)\), the triangle inequality gives \(||y-c|-r|\le\delta_j\). Thus the symmetric difference lies in the shell around the sphere of radius \(r\) and thickness \(\delta_j\). For \(\delta_j<r\), the shell has measure at most \(v_n((r+\delta_j)^n-(r-\delta_j)^n)\), which tends to zero. This uses the volume formula for balls; the same estimate also shows that a sphere has measure zero.

Proposition: If \(f\) is locally integrable on \((\mathbb{R}^n,\mathcal{L},m)\), then \[ (c,r)\longmapsto \int_{B(c,r)}|f(y)|\,dm(y) \] is continuous for \(c\in\mathbb{R}^n\) and \(r>0\). Consequently, \(A_rf(x)\) is continuous in \(x\) for each fixed \(r>0\), and is continuous in \(r>0\) for each fixed \(x\).

Proof. Let \(c_j\to c\) and \(r_j\to r>0\). All the balls \(B(c_j,r_j)\) and \(B(c,r)\), apart from at most finitely many initial terms, lie in a common compact set \(K\). Denote their symmetric difference by \(E_j\). The shell estimate above gives \(m(E_j)\to0\).

We check directly that the integral of \(|f|\) over these differences tends to zero. Given \(\varepsilon>0\), choose \(T>0\) so that \(\int_{K\cap\{|f|>T\}}|f|\,dm<\varepsilon/2\). Such a \(T\) exists because \(|f|\) is integrable on \(K\). For any measurable \(E\subset K\), \[ \int_E|f|\,dm\le Tm(E)+\int_{K\cap\{|f|>T\}}|f|\,dm. \] For all sufficiently large \(j\), \(Tm(E_j)<\varepsilon/2\); hence \(\int_{E_j}|f|\,dm<\varepsilon\). The difference between the two ball integrals is bounded in absolute value by this quantity, so the integrals converge. Finally \(m(B(c_j,r_j))=v_nr_j^n\to v_nr^n=m(B(c,r))>0\), so division by volume preserves continuity. Fixing either the center or the radius gives the two stated continuity conclusions. \(\square\)

Centered Maximal Functions: Countable Radii

For fixed \(x\), continuity in the radius allows us to use positive rational radii without changing the supremum. Indeed, for any \(r>0\), choose positive rationals \(q_j\to r\). Then \(A_{q_j}f(x)\to A_rf(x)\). It follows that every value in the supremum over all radii is a limit of values at rational radii, so the two suprema agree.

Theorem: For every locally integrable \(f:\mathbb{R}^n\to\mathbb{R}\) or \(\mathbb{C}\), the centered maximal function \(M_cf:\mathbb{R}^n\to[0,\infty]\) is Lebesgue measurable.

Proof. For each positive rational \(q\), the function \(x\mapsto A_qf(x)\) is continuous by the proposition, and is therefore Lebesgue measurable. The countable-radius reduction gives \(M_cf(x)=\sup_{q\in\mathbb{Q},\,q>0}A_qf(x)\). For every real \(\alpha\), the strict superlevel set is \[ \{x:M_cf(x)>\alpha\}=\bigcup_{\substack{q\in\mathbb{Q}\\q>0}}\{x:A_qf(x)>\alpha\}. \] Each set on the right is open, since \(A_qf\) is continuous; the union is countable and hence open. In particular, these superlevel sets are Lebesgue measurable, which proves measurability of the extended-real-valued function \(M_cf\). (For \(\alpha<0\), the set is all of \(\mathbb{R}^n\), consistent with the same conclusion.) \(\square\)

Worked Example: A Centered Supremum Approached at Small Radii

On \((\mathbb{R},\mathcal{L},m)\), let \(f(t)=\max(1-|t|,0)\). This is a nonnegative continuous, locally integrable function. Compute the centered averages at \(x=0\), and show that their supremum over positive rational radii is \(1\).

For \(0<r\le1\), the interval \(B(0,r)=(-r,r)\) lies in \([-1,1]\), where \(f(t)=1-|t|\). Therefore \[ \int_{-r}^r f(t)\,dt=2\int_0^r(1-t)\,dt=2r-r^2, \qquad A_rf(0)=\frac{2r-r^2}{2r}=1-\frac r2. \] For \(r\ge1\), the integral over \((-r,r)\) includes the full support, and \[ \int_{-r}^r f(t)\,dt=2\int_0^1(1-t)\,dt=2\left(1-\frac12\right)=1, \qquad A_rf(0)=\frac{1}{2r}. \] Both formulas give \(1/2\) at \(r=1\). For every \(r>0\), the average is less than \(1\), while for positive rational \(q\to0\), \(A_qf(0)=1-q/2\to1\). Thus \(M_cf(0)=\sup_{q\in\mathbb{Q},\,q>0}A_qf(0)=1\), although no positive radius attains this value. Check: at \(r=1/2\), the formula gives \(1-(1/2)/2=3/4\); at \(r=2\), it gives \(1/(2\cdot2)=1/4\).

Uncentered Maximal Functions: Countable Balls

For the uncentered function, use balls whose centers have rational coordinates and whose radii are positive rationals. These form a countable family. If \(x\in B(c,r)\), the inclusion is strict: \(r-|x-c|>0\). Consequently, sufficiently small perturbations of \(c\) and \(r\) still give a ball containing \(x\). Continuity of the ball integral, including its dependence on both parameters, ensures that the average also changes continuously.

Theorem: For every locally integrable \(f:\mathbb{R}^n\to\mathbb{R}\) or \(\mathbb{C}\), the uncentered maximal function \(M_uf:\mathbb{R}^n\to[0,\infty]\) is Lebesgue measurable.

Proof. Let \(\mathcal{Q}\) be the countable collection of balls \(B(q,s)\) with \(q\in\mathbb{Q}^n\) and \(s\in\mathbb{Q}\), \(s>0\). We first verify that \[ M_uf(x)=\sup_{\substack{B\in\mathcal{Q}\\x\in B}}\frac{1}{m(B)}\int_B|f|\,dm. \] The supremum over \(\mathcal{Q}\) cannot exceed the defining supremum, since every ball in \(\mathcal{Q}\) is an open ball containing \(x\). Conversely, take any open ball \(B(c,r)\) containing \(x\), and write its average as \(a\). Choose rational centers \(q_j\to c\) and positive rational radii \(s_j\to r\). Since \(r-|x-c|>0\), for all sufficiently large \(j\), \(s_j>|x-q_j|\), so \(x\in B(q_j,s_j)\). The proposition gives convergence of the integrals, and the volumes converge to \(v_nr^n>0\); therefore the averages over \(B(q_j,s_j)\) converge to \(a\). Taking the supremum over the countable family thus gives at least every admissible average \(a\), proving the equality.

For a real \(\alpha\), that equality yields \[ \{x:M_uf(x)>\alpha\} = \bigcup_{\substack{B\in\mathcal{Q}\\m(B)^{-1}\int_B|f|\,dm>\alpha}} B. \] Indeed, a supremum is strictly greater than \(\alpha\) exactly when at least one member of the family is strictly greater than \(\alpha\). The union is countable and consists of open balls, so it is open. This proves that \(M_uf\) is Lebesgue measurable. \(\square\)

Worked Example: Approximating an Uncentered Ball by Rational Balls

On \(\mathbb{R}\), let \(f(t)=t^2\), which is locally integrable. Compute its average over \(B(1,3)=(-2,4)\), then approximate that ball by rational-parameter balls that still contain \(x=0\).

For center \(c\) and radius \(r\), direct integration gives \[ \frac{1}{2r}\int_{c-r}^{c+r}t^2\,dt =\frac{(c+r)^3-(c-r)^3}{6r} =c^2+\frac{r^2}{3}. \] Thus the average over \(B(1,3)\) is \(1^2+3^2/3=4\). For each integer \(k\ge1\), take \(c_k=1+1/k\) and \(r_k=3+1/k\). These are rational, and \(r_k-c_k=2>0\), so \(0\in B(c_k,r_k)\). Their averages are \[ c_k^2+\frac{r_k^2}{3} =\left(1+\frac1k\right)^2+\frac{(3+1/k)^2}{3} =4+\frac4k+\frac{4}{3k^2}\longrightarrow4. \] For \(k=100\), this is \(4+1/25+1/7500=30301/7500\). Check: substituting \(c=1,r=3\) into the general formula again gives \(1+9/3=4\), the limit of the rational-ball averages. This illustrates why the rational family retains the averages of all balls containing the point.

A Simple Check and a Common Pitfall

Worked Example: Constant Functions

On \(\mathbb{R}^n\), let \(f(x)=3\) everywhere. This function is locally integrable. For every ball \(B\), its integral is \(3m(B)\), so its average is \(3m(B)/m(B)=3\). Consequently, \(M_cf(x)=M_uf(x)=3\) for every \(x\). For a strict superlevel set, \(\{M_cf>\alpha\}=\mathbb{R}^n\) when \(\alpha<3\), and it is empty when \(\alpha\ge3\); the same holds for \(M_uf\). Check: at the threshold \(\alpha=3\), the inequality is strict, so no point belongs to the superlevel set.

Common mistake: restricting to integer radii. Countability alone does not justify replacing all radii by the integers; the smaller countable family may miss the supremum. For the triangular function in the earlier example, the average at \(0\) is \(1-r/2\) for \(0<r\le1\), and \(1/(2r)\) for \(r\ge1\). At every integer radius \(n\ge1\), it is \(1/(2n)\), whose supremum is \(1/2\). But the supremum over all positive radii is \(1\), approached as \(r\downarrow0\). Positive rational radii work because they are dense and the average is continuous in \(r\), not merely because they are countable.

The same distinction explains why the continuity argument is essential for the centered function, while the uncentered proof also needs to preserve the condition that the ball contains \(x\). Strict containment in an open ball gives room to perturb its rational center and radius. With these two ingredients, both uncountable definitions reduce to countable descriptions of their superlevel sets, and measurability follows without assumptions that the maximal functions are finite.

Check Your Understanding

Use the definitions and the continuity and countability arguments above to answer the following.

  1. Why does local integrability guarantee that the average over each ball is finite?
  2. For a fixed center, explain why continuity in the radius gives the same supremum over positive rational radii as over all positive real radii.
  3. Why does \(x\in B(c,r)\) ensure that sufficiently small changes in \(c\) and \(r\) leave \(x\) inside the perturbed ball?
  4. For the triangular function in the worked example, what is the average at radius \(r=1/4\), and what is its limit as positive rational \(r\) tends to zero?
  5. For the constant function \(f=3\), determine the strict superlevel set \(\{M_uf>3\}\).