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Hardy-Littlewood Maximal Function 📂Measure Theory

Hardy-Littlewood Maximal Function

Definition1

Let’s denote fLloc1 f \in L^1_{\mathrm{loc}}. Then, the Hardy-Littlewood maximal function HfHf is defined as follows:

Hf(x):=supr>0Arf(x)=supr>01μ(B(r,x))B(r,x)f(y)dy Hf (x) := \sup \limits_{r>0} A_{r} |f|(x) = \sup \limits_{r>0} \frac{1}{\mu \big( B(r,x) \big)}\int_{B(r,x)}|f(y)|dy

Arf(x)A_{r}f(x) represents the average of the function values of Br(x)B_{r}(x) on the top of ff. HH is called the maximal operator.

Theorem

  • HfHf is a Lebesgue measurable function.
  • If fLloc1f \in L^1_{\mathrm{loc}}, then Arf(x)A_{r}f(x) is continuous with respect to both r>0r>0 and xRnx \in \mathbb{R}^n.

  1. Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications (2nd Edition, 1999), p96 ↩︎