Math 2.0

Harmonic analysis on Euclidean spaces Definition

Riesz transform

Builds on Singular integral operatorCauchy principal valueFourier transformSchwartz space

Definition

Let n≥1n \ge 1 and j∈{1,…,n}j \in \set{1, \ldots, n}. Let cn=Γ(n+12)/π(n+1)/2c_n = \Gamma\big(\frac{n+1}{2}\big) / \pi^{(n+1)/2}, where Γ\Gamma is the gamma function. For a Schwartz function ff on ℝn\R^n, the jj-th Riesz transform of ff is the principal value Rjf(x)=cnlim⁡ε→0+∫∣y∣>εyj∣y∣n+1f(x−y) dy.R_j f(x) = c_n \lim_{\varepsilon \to 0^+} \int_{\abs{y} > \varepsilon} \frac{y_j}{\abs{y}^{n+1}} f(x - y) \, dy.

Remarks

With f^(ξ)=∫f(x)e−2πix⋅ξ dx\hat f(\xi) = \int f(x) e^{-2\pi i x \cdot \xi} \, dx, the Fourier transform of RjfR_j f is Rjf^(ξ)=−iξj∣ξ∣f^(ξ).\widehat{R_j f}(\xi) = -i \frac{\xi_j}{\abs{\xi}} \hat f(\xi). So ∑j=1nRj2=−I\sum_{j=1}^n R_j^2 = -I on L2(ℝn)L^2(\R^n), and each RjR_j is bounded on L2L^2 with norm 11. Each RjR_j extends to a bounded operator on Lp(ℝn)L^p(\R^n) for 1<p<∞1 < p < \infty.

Example: for n=1n = 1, c1=Γ(1)/π=1/πc_1 = \Gamma(1)/\pi = 1/\pi and the kernel is 1πy∣y∣2=1πy\frac{1}{\pi}\frac{y}{\abs{y}^2} = \frac{1}{\pi y}. So R1R_1 is the Hilbert transform, with multiplier −isgn⁡ξ-i\sgn\xi.

Non-example: the kernel ∣y∣−n\abs{y}^{-n}, with the same homogeneity but without the odd factor yj/∣y∣y_j/\abs{y}, does not define a principal value operator. It has no cancellation, and ∫ε<∣y∣<1∣y∣−n dy\int_{\varepsilon < \abs{y} < 1} \abs{y}^{-n} \, dy grows like log⁡(1/ε)\log(1/\varepsilon).

The kernel cnyj/∣y∣n+1c_n y_j/\abs{y}^{n+1} is odd, homogeneous of degree −n-n, and smooth away from 00, which makes RjR_j a singular integral operator.

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  1. Cauchy principal value concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Riesz_transform
About this page
TagW3TAPJEX29
URIm2://W3TAPJEX29
Kinddefinition
WritingW0 stub
MSC42B20, 44A15
DefinesRiesz transform
UsesSingular integral operator, Cauchy principal value, Fourier transform, Schwartz space

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