Inverse Fourier Transform
Used to recover original function from its Fourier transform.
f(t)=2π1∫−∞∞F(ω)eiωtdω
Provided that the integral converges.
Convergence Conditions
The inverse Fourier transform exists when F(ω) is absolutely integrable:
∫−∞∞∣F(ω)∣dω<∞
Properties
- Linearity
F−1{aF(ω)+bG(ω)}=af(t)+bg(t)
- Time shift
F−1{F(ω)e−iωt0}=f(t−t0)
- Frequency shift
F−1{F(ω−ω0)}=eiω0tf(t)
- Duality
F−1{F(t)}=2π1f(−ω)
| Property | Inverse Fourier | Inverse Laplace |
| ----------- | ------------------------------- | --------------------------------------------- | --- | ----------- |
| Integration | Along the real ω-axis | Along a vertical line Re(s)=c |
| Domain | Bilateral (all t) | Unilateral (t≥0) |
| Convergence | Requires absolute integrability | Requires F(s) to decay as ∣s∣→∞ |
| Typical use | Signal analysis, filters | System response, ODEs with initial conditions |
Written by September 29, 2026 · 1 min read ·
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