Math 2.0

Integral transforms, operational calculus Definition

Hankel transform

Builds on Bessel function of the first kindLebesgue integralFourier transform

Definition

Let ν≥−12\nu \ge -\frac12, and let JνJ_\nu be the Bessel function of the first kind of order ν\nu. Let f ⁣:(0,∞)→ℂf \colon (0, \infty) \to \C be measurable with ∫0∞∣f(r)∣ r1/2 dr<∞\int_0^\infty \abs{f(r)}\, r^{1/2}\, dr < \infty. The Hankel transform of order ν\nu of ff is the function on (0,∞)(0, \infty) given by the Lebesgue integral Fν(k)=∫0∞f(r) Jν(kr) r dr.F_\nu(k) = \int_0^\infty f(r)\, J_\nu(kr)\, r\, dr.

Remarks

The integral converges absolutely, because z ∣Jν(z)∣\sqrt{z}\, \abs{J_\nu(z)} is bounded on (0,∞)(0, \infty) for ν≥−12\nu \ge -\frac12, so ∣Jν(kr)∣ r≤Ck−1/2r1/2\abs{J_\nu(kr)}\, r \le C k^{-1/2} r^{1/2}. The inverse transform has the same form: under suitable conditions f(r)=∫0∞Fν(k) Jν(kr) k dkf(r) = \int_0^\infty F_\nu(k)\, J_\nu(kr)\, k\, dk. Other normalizations use the kernel Jν(kr)krJ_\nu(kr) \sqrt{kr} with drdr instead of r drr\, dr. Through the Fourier transform in the plane, the order-00 transform describes radial functions: if g(x)=f(∣x∣)g(x) = f(\abs{x}) on ℝ2\R^2, then ∫ℝ2g(x)e−ix⋅ξ dx=2πF0(∣ξ∣)\int_{\R^2} g(x) e^{-i x \cdot \xi}\, dx = 2\pi F_0(\abs{\xi}).

Example: ν=0\nu = 0 and f(r)=e−r2/2f(r) = e^{-r^2/2}. The plane Gaussian e−∣x∣2/2e^{-\abs{x}^2/2} has Fourier transform 2πe−∣ξ∣2/22\pi e^{-\abs{\xi}^2/2} with this kernel, so F0(k)=e−k2/2F_0(k) = e^{-k^2/2}.

Non-example: f(r)=1f(r) = 1 fails the integrability condition, and ∫0RJ0(kr) r dr=RkJ1(kR)\int_0^R J_0(kr)\, r\, dr = \frac{R}{k} J_1(kR) has no limit as R→∞R \to \infty, since J1(kR)J_1(kR) decays only like R−1/2R^{-1/2}.

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  1. Bessel function of the first kind concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Hankel_transform
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TagEV25PMXVQT
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Kinddefinition
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MSC44A20, 33C10, 42B10
DefinesHankel transform
UsesBessel function of the first kind, Lebesgue integral, Fourier transform

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