Math 2.0

Integral transforms, operational calculus Definition

Mellin convolution

Builds on Integrable functionLebesgue integral

Definition

Let f,g ⁣:(0,∞)→ℂf, g \colon (0, \infty) \to \C be measurable. Let x>0x > 0 be such that y↦f(x/y)g(y)/yy \mapsto f(x/y) g(y) / y is integrable on (0,∞)(0, \infty). The Mellin convolution of ff and gg at xx is the Lebesgue integral (f⋆g)(x)=∫0∞f(xy)g(y) dyy.(f \star g)(x) = \int_0^\infty f\left(\frac{x}{y}\right) g(y) \, \frac{dy}{y}.

Remarks

The substitution y↦x/yy \mapsto x/y shows that f⋆g=g⋆ff \star g = g \star f. Assume that ff and gg are both Mellin convergent at ss. Then f⋆gf \star g is defined at almost every x>0x > 0, it is Mellin convergent at ss, and ℳ(f⋆g)(s)=ℳf(s) ℳg(s)\mathcal{M}(f \star g)(s) = \mathcal{M}f(s) \, \mathcal{M}g(s). The proof is Fubini's theorem and the substitution x=yux = yu, which splits the double integral. Example: f=g=𝟏(0,1]f = g = \mathbf{1}_{(0, 1]}. The integrand 𝟏(0,1](x/y)𝟏(0,1](y)/y\mathbf{1}_{(0,1]}(x/y) \mathbf{1}_{(0,1]}(y) / y is 1/y1/y for x≤y≤1x \le y \le 1 and 00 otherwise, which is integrable for each x>0x > 0. So (f⋆g)(x)=∫x1dy/y=−log⁡x(f \star g)(x) = \int_x^1 dy/y = -\log x for 0<x≤10 < x \le 1 and 00 for x>1x > 1. As a check, ∫01xs−1(−log⁡x) dx=1/s2=(1/s)2\int_0^1 x^{s-1} (-\log x) \, dx = 1/s^2 = (1/s)^2 for Re⁡s>0\operatorname{Re} s > 0. Non-example: f=g=1f = g = 1 on (0,∞)(0, \infty); the integrand 1/y1/y is not integrable on (0,∞)(0, \infty), so (f⋆g)(x)(f \star g)(x) is defined at no xx. Some authors use the other normalization ∫0∞f(xy)g(y) dy\int_0^\infty f(xy) g(y) \, dy, whose Mellin transform is ℳf(s)ℳg(1−s)\mathcal{M}f(s) \mathcal{M}g(1 - s).

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Further reading

  1. Web https://en.wikipedia.org/wiki/Mellin_transform
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MSC44A35, 44A15
DefinesMellin convolution
UsesIntegrable function, Lebesgue integral

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