Math 2.0

Harmonic analysis on Euclidean spaces Hardy spaces and BMO Theorem

John–Nirenberg inequality

Builds on Bounded mean oscillationLebesgue measureCalderón–Zygmund lemma

Statement

Let n≥1n \ge 1. There are constants c1,c2>0c_1, c_2 > 0, depending only on nn, with the following property. Let ff be a function of bounded mean oscillation on ℝn\R^n that is not constant, with norm ∥f∥BMO\norm{f}_{\mathrm{BMO}}. Let Q⊆ℝnQ \subseteq \R^n be a cube with sides parallel to the axes, let ∣E∣\abs{E} denote Lebesgue measure, and let fQ=1∣Q∣∫Qff_Q = \frac{1}{\abs{Q}}\int_Q f. Then for every λ>0\lambda > 0, ∣{x∈Q:∣f(x)−fQ∣>λ}∣≤c1∣Q∣exp⁡(−c2λ∥f∥BMO).\abs{\set{x \in Q : \abs{f(x) - f_Q} > \lambda}} \le c_1 \abs{Q} \exp\left( - \frac{c_2 \lambda}{\norm{f}_{\mathrm{BMO}}} \right).

Remarks

The proof applies the Calderón–Zygmund lemma to f−fQf - f_Q on the cube QQ, at a height of about 2∥f∥BMO2\norm{f}_{\mathrm{BMO}}. On the selected subcubes QkQ_k the mean fQkf_{Q_k} differs from fQf_Q by at most a constant times ∥f∥BMO\norm{f}_{\mathrm{BMO}}, and their total measure is at most half of ∣Q∣\abs{Q}. Repeating the argument inside each QkQ_k shows that the set where ∣f−fQ∣\abs{f - f_Q} exceeds Cm∥f∥BMOC m \norm{f}_{\mathrm{BMO}} has measure at most 2−m∣Q∣2^{-m}\abs{Q}, which is the exponential decay.

Consequences: for c<c2c < c_2 the function exp⁡(c∣f−fQ∣/∥f∥BMO)\exp(c \abs{f - f_Q}/\norm{f}_{\mathrm{BMO}}) has average over QQ bounded by a constant depending on nn and cc. Also, for every 1≤p<∞1 \le p < \infty, the quantity sup⁡Q(1∣Q∣∫Q∣f−fQ∣p)1/p\sup_Q \left( \frac{1}{\abs{Q}} \int_Q \abs{f - f_Q}^p \right)^{1/p} is a norm on BMO equivalent to ∥f∥BMO\norm{f}_{\mathrm{BMO}}.

Example: f(x)=log⁡∣x∣f(x) = \log \abs{x} on ℝ\R and Q=[−1,1]Q = [-1, 1], where fQ=−1f_Q = -1. The set {∣f+1∣>λ}\set{\abs{f + 1} > \lambda} contains {∣x∣<e−1−λ}\set{\abs{x} < e^{-1 - \lambda}}, of measure 2e−1−λ2 e^{-1 - \lambda}. So the exponential decay in λ\lambda cannot be improved to a faster decay for all BMO functions.

Going deeper

For a student

The inequality shows that BMO functions are locally integrable to every power, and even exponentially integrable after subtracting means. It is used to show that log⁡w\log w is in BMO for every Muckenhoupt weight ww, and conversely that eδbe^{\delta b} is a Muckenhoupt weight for b∈b \in BMO and δ\delta small. It enters the proof of Fefferman's duality theorem and of the boundedness of commutators with BMO functions.

Reading path

To understand this page from the ground up, read these 8 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Borel sigma-algebra concept
  2. Bounded mean oscillation concept
  3. Euclidean space object
  4. Lebesgue integral concept
  5. Outer measure concept
  6. Lebesgue measure object
  7. Calderón–Zygmund lemma statement
  8. John–Nirenberg inequality statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Bounded_mean_oscillation
About this page
TagQTSJT4JZXT
URIm2://QTSJT4JZXT
Kindstatement, theorem
WritingW0 stub
MSC42B35, 30H35
StatusThis copy of the site has no build data. Run m2 status QTSJT4JZXT.
AboutBounded mean oscillation
UsesBounded mean oscillation, Lebesgue measure, Calderón–Zygmund lemma

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