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Duality property of CTFT

Short answer

If x(t) has Fourier transform X(ω), then X(t) has transform 2π x(−ω); for even x(t), X(t) ↔ 2π x(ω). Proof: from the inverse transform, 2π x(−t) = ∫ X(ω) e^{−jωt} dω; exchanging variable names t and ω gives 2π x(−ω) = ∫ X(t) e^{−jωt} dt.

State and prove (explain with derivation) the duality property of continuous time Fourier transform.

Statement

If x(t)↔FX(ω)x(t) \xleftrightarrow{F} X(\omega), then a time function with the same shape as XX has a transform with the shape of xx:

X(t)↔F2π x(−ω)X(t) \xleftrightarrow{F} 2\pi\,x(-\omega)

For an even x(t)x(t) this simplifies to X(t)↔2πx(ω)X(t) \leftrightarrow 2\pi x(\omega).

Proof

Start from the inverse transform:

x(t)=12π∫−∞∞X(ω)ejωtdω  ⇒  2πx(t)=∫−∞∞X(ω)ejωtdωx(t) = \frac{1}{2\pi}\int_{-\infty}^{\infty}X(\omega)e^{j\omega t}d\omega \;\Rightarrow\; 2\pi x(t) = \int_{-\infty}^{\infty}X(\omega)e^{j\omega t}d\omega

Replace tt by −t-t:

2πx(−t)=∫−∞∞X(ω)e−jωtdω2\pi x(-t) = \int_{-\infty}^{\infty}X(\omega)e^{-j\omega t}d\omega

Now exchange the names of the variables tt and ω\omega:

2πx(−ω)=∫−∞∞X(t)e−jωtdt=F{X(t)}2\pi x(-\omega) = \int_{-\infty}^{\infty}X(t)e^{-j\omega t}dt = F\{X(t)\}

This proves X(t)↔2πx(−ω)X(t) \leftrightarrow 2\pi x(-\omega).

Example

A rectangular pulse x(t)=1x(t) = 1 for ∣t∣<T1|t| < T_1 has X(ω)=2sin⁡ωT1ωX(\omega) = \frac{2\sin\omega T_1}{\omega}. By duality, with xx even:

2sin⁡T1tt↔F2π x(ω)={2π,∣ω∣<T10,∣ω∣>T1\frac{2\sin T_1 t}{t} \xleftrightarrow{F} 2\pi\,x(\omega) = \begin{cases}2\pi, & |\omega| < T_1\\ 0, & |\omega| > T_1\end{cases}

Dividing by 2π2\pi and writing WW for T1T_1:

sin⁡Wtπt↔F{1,∣ω∣<W0,∣ω∣>W\frac{\sin Wt}{\pi t} \xleftrightarrow{F} \begin{cases}1, & |\omega| < W\\ 0, & |\omega| > W\end{cases}

A sinc pulse in time is an ideal low-pass spectrum. Similarly, δ(t)↔1\delta(t) \leftrightarrow 1 gives 1↔2πδ(ω)1 \leftrightarrow 2\pi\delta(\omega).

✓ Answer checked by Claude Opus 5.5 (high effort)

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