Inverse Fourier Transform

Used to recover original function from its Fourier transform.

f(t)=12π∫−∞∞F(ω)eiωt dωf(t) = \frac{1}{2\pi} \int_{-\infty}^{\infty} F(\omega) e^{i\omega t} \, \text{d}\omega

Provided that the integral converges.

Convergence Conditions

The inverse Fourier transform exists when F(ω)F(\omega) is absolutely integrable:

∫−∞∞∣F(ω)∣ dω<∞\int_{-\infty}^{\infty} |F(\omega)| \, \text{d}\omega < \infty

Properties

  • Linearity
    F−1{aF(ω)+bG(ω)}=af(t)+bg(t)\mathcal{F}^{-1}\{aF(\omega) + bG(\omega)\} = af(t) + bg(t)
  • Time shift
    F−1{F(ω)e−iωt0}=f(t−t0)\mathcal{F}^{-1}\{F(\omega) e^{-i\omega t_0}\} = f(t - t_0)
  • Frequency shift
    F−1{F(ω−ω0)}=eiω0tf(t)\mathcal{F}^{-1}\{F(\omega - \omega_0)\} = e^{i\omega_0 t} f(t)
  • Duality
    F−1{F(t)}=12πf(−ω)\mathcal{F}^{-1}\{F(t)\} = \frac{1}{2\pi} f(-\omega)

Comparison with Inverse Laplace Transform

| Property | Inverse Fourier | Inverse Laplace | | ----------- | ------------------------------- | --------------------------------------------- | --- | ----------- | | Integration | Along the real ω\omega-axis | Along a vertical line Re(s)=c\text{Re}(s) = c | | Domain | Bilateral (all tt) | Unilateral (t≥0t \geq 0) | | Convergence | Requires absolute integrability | Requires F(s)F(s) to decay as ∣s∣→∞ | s | \to \infty | | Typical use | Signal analysis, filters | System response, ODEs with initial conditions |

Written by September 29, 2026 1 min read
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