Math 2.0

Integral transforms, operational calculus Definition

Hilbert transform

Builds on Cauchy principal valueHarmonic conjugate

Definition

Let 1≤p<∞1 \le p < \infty and let f∈Lp(ℝ)f \in L^p(\R), a function in the LpL^p space of ℝ\R. The Hilbert transform of ff is the function Hf(x)=1π lim⁡ε→0+∫∣x−y∣>εf(y)x−y dy,Hf(x) = \frac{1}{\pi}\, \lim_{\varepsilon \to 0^+} \int_{\abs{x - y} > \varepsilon} \frac{f(y)}{x - y}\, dy, the Cauchy principal value of 1π∫ℝf(y)x−y dy\frac{1}{\pi} \int_\R \frac{f(y)}{x - y}\, dy. The limit exists for almost every x∈ℝx \in \R.

Remarks

Example: for f(x)=11+x2f(x) = \frac{1}{1 + x^2}, one has Hf(x)=x1+x2Hf(x) = \frac{x}{1 + x^2}. Check: F(z)=iz+iF(z) = \frac{i}{z + i} is holomorphic on the upper half-plane and tends to 00 at infinity. On ℝ\R it equals 11+x2+ix1+x2\frac{1}{1 + x^2} + i \frac{x}{1 + x^2}, so its imaginary part is the harmonic conjugate of its real part.

Non-example: the integral is singular at y=xy = x, so the principal value is needed. The integral ∫ℝf(y)x−y dy\int_\R \frac{f(y)}{x - y}\, dy diverges absolutely at every xx near which ff is continuous and nonzero.

On the Fourier transform side, Hf^(ξ)=−isgn⁡(ξ) f^(ξ)\widehat{Hf}(\xi) = -i \sgn(\xi)\, \hat f(\xi) for f∈L2(ℝ)f \in L^2(\R). Hence HH is an isometry of L2(ℝ)L^2(\R) with H2=−id⁡H^2 = -\id. For 1<p<∞1 < p < \infty, HH is a bounded operator on Lp(ℝ)L^p(\R), a theorem of Marcel Riesz; for p=1p = 1 it is only of weak type (1,1)(1, 1).

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  1. Cauchy principal value concept
  2. Harmonic conjugate concept
  3. Hilbert transform definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Hilbert_transform
About this page
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Kinddefinition
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MSC44A15, 42A50, 30H10
DefinesHilbert transform
UsesCauchy principal value, Harmonic conjugate
Changed2 November 2026

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