- Asked 3/13
- 2070 Bhadra · 5 marks
- 2068 Magh · 5 marks
State and prove Fourier convolution theorem
Short answer
Convolution theorem: F{f*g} = F(s)G(s) where F(s),G(s) are Fourier transforms of f,g. Proof: F{f*g}=∫∫ f(u)g(x-u) e^{-isx} du dx; change variable w=x-u gives inner integral e^{-isu}G(s); integrating over u yields F(s)G(s).
State and prove convolution theorem of Fourier transform.
Definitions
Fourier transform: F{f}(s) = F(s) = ∫_{−∞}^{∞} f(x) e^{−isx} dx.
Convolution: (f * g)(x) = ∫_{−∞}^{∞} f(u) g(x − u) du.
Statement
If F(s) and G(s) are the Fourier transforms of f(x) and g(x), then the Fourier transform of their convolution is the product of the transforms:
F{f * g} = F(s) · G(s)
Equivalently, f * g = F⁻¹{F(s)G(s)}. (With the symmetric convention F(s) = (1/√(2π)) ∫ f e^{−isx} dx, the result reads F{f * g} = √(2π) F(s)G(s).)
Proof
F{f * g} = ∫ e^{−isx} [ ∫ f(u) g(x − u) du ] dx
Interchange the order of integration (f and g are absolutely integrable):
F{f * g} = ∫ f(u) [ ∫ g(x − u) e^{−isx} dx ] du
In the inner integral put x − u = w, so x = w + u and dx = dw:
∫ g(w) e^{−is(w + u)} dw = e^{−isu} ∫ g(w) e^{−isw} dw = e^{−isu} G(s)
Hence
F{f * g} = ∫ f(u) e^{−isu} G(s) du
= G(s) ∫ f(u) e^{−isu} du
= F(s) · G(s) ∎
Consequence
The inverse form is ∫_{−∞}^{∞} F(s)G(s) e^{isx} ds = 2π (f * g)(x). It lets us compute a convolution from a simple product.
✓ Answer checked by Claude Opus 5.5 (high effort)
Related questions
- Convolution theorem for FT with importance · Applied Mathematics, chapter 4 · asked 3×
- Convolution theorem for z-transform · Applied Mathematics, chapter 2
- Prove shifting theorem of z-transform · Applied Mathematics, chapter 2 · asked 3×
- Verify convolution theorem, f = g = e^{-x²} · Applied Mathematics, chapter 4
- Complex Fourier series; verify convolution · Applied Mathematics, chapter 4
- State and prove final value theorem · Applied Mathematics, chapter 2 · asked 5×
- State and prove Cauchy integral theorem · Applied Mathematics, chapter 1 · asked 3×
- Fourier transform property: Convolution · Communication Systems, chapter 1
- Fourier transform properties; Rayleigh energy theorem · Communication Systems, chapter 1
- Convolution theorem and inverse Laplace · Mathematics III, chapter 3 · asked 3×
- Convolution theorem and inverse Laplace · Mathematics III, chapter 3 · asked 3×