Math 2.0

Harmonic analysis on Euclidean spaces Definition

Real Hardy space H1

Builds on Lp spaceRiesz transformHilbert transformTempered distribution

Definition

Let n≥1n \ge 1 and let L1(ℝn)L^1(\R^n) be the Lp space of integrable functions for Lebesgue measure. For j=1,…,nj = 1, \dots, n let RjR_j be the jj-th Riesz transform, which maps each f∈L1(ℝn)f \in L^1(\R^n) to a tempered distribution RjfR_j f. The real Hardy space H1(ℝn)H^1(\R^n) is the set of f∈L1(ℝn)f \in L^1(\R^n) such that each RjfR_j f, j=1,…,nj = 1, \dots, n, is given by a function in L1(ℝn)L^1(\R^n). It is a Banach space with the norm ∥f∥H1=∥f∥L1+∑j=1n∥Rjf∥L1.\norm{f}_{H^1} = \norm{f}_{L^1} + \sum_{j=1}^n \norm{R_j f}_{L^1}.

Remarks

For n=1n = 1 the only Riesz transform is the Hilbert transform HH, so H1(ℝ)={f∈L1(ℝ):Hf∈L1(ℝ)}H^1(\R) = \set{f \in L^1(\R) : Hf \in L^1(\R)}. Equivalent definitions use maximal functions or atoms. Fix a Schwartz function φ\varphi with ∫φ=1\int \varphi = 1 and let φt(x)=t−nφ(x/t)\varphi_t(x) = t^{-n}\varphi(x/t). Then f∈H1(ℝn)f \in H^1(\R^n) exactly when ff is a tempered distribution with sup⁡t>0∣f∗φt∣∈L1(ℝn)\sup_{t > 0} \abs{f * \varphi_t} \in L^1(\R^n), and the two norms are comparable. Every f∈H1(ℝn)f \in H^1(\R^n) has ∫f=0\int f = 0.

Example: n=1n = 1 and a=𝟏[0,1]−𝟏[−1,0]a = \mathbf{1}_{[0, 1]} - \mathbf{1}_{[-1, 0]}. For ∣x∣>2\abs{x} > 2, using ∫a=0\int a = 0, Ha(x)=1π∫a(y)(1x−y−1x)dyHa(x) = \frac{1}{\pi} \int a(y) \left( \frac{1}{x - y} - \frac{1}{x} \right) dy, which is bounded by C/x2C/x^2. Near the points −1-1, 00 and 11, HaHa has only logarithmic singularities, which are integrable. So Ha∈L1(ℝ)Ha \in L^1(\R) and a∈H1(ℝ)a \in H^1(\R).

Non-example: f=𝟏[0,1]f = \mathbf{1}_{[0, 1]} on ℝ\R is integrable but not in H1(ℝ)H^1(\R). Its Hilbert transform is Hf(x)=1πlog⁡∣xx−1∣Hf(x) = \frac{1}{\pi} \log \abs{\frac{x}{x - 1}}, which behaves like 1πx\frac{1}{\pi x} as ∣x∣→∞\abs{x} \to \infty, so it is not integrable. This agrees with the fact that ∫f=1≠0\int f = 1 \ne 0.

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  1. Hilbert transform concept
  2. Lp space concept
  3. Riesz transform concept
  4. Tempered distribution concept
  5. Real Hardy space H1 definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Hardy_space
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MSC42B30, 42B35
DefinesReal Hardy space H1
UsesLp space, Riesz transform, Hilbert transform, Tempered distribution

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