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Fourier transform of CT periodic signals

Short answer

Expand the periodic signal in a Fourier series: x(t)=∑ a_k e^{jkω0t}. Since e^{jkω0t} ↔ 2π δ(ω−kω0), linearity gives X(jω)=∑ 2π a_k δ(ω−kω0). Thus the FT is a train of impulses at harmonic frequencies with area 2π a_k.

Derive the expression for Fourier transform of continuous time periodic signal.

A periodic signal is not absolutely integrable, so its ordinary Fourier integral does not converge. Its Fourier transform is obtained from its Fourier series using impulses.

Step 1: Fourier series. Let x(t)x(t) be periodic with period T0T_0, ω0=2π/T0\omega_0 = 2\pi/T_0:

x(t)=∑k=−∞∞ak ejkω0t,ak=1T0∫T0x(t) e−jkω0t dtx(t) = \sum_{k=-\infty}^{\infty} a_k\,e^{jk\omega_0 t}, \qquad a_k = \frac{1}{T_0}\int_{T_0} x(t)\,e^{-jk\omega_0 t}\,dt

Step 2: FT of one complex exponential. Consider X(jω)=2π δ(ω−ω0)X(j\omega) = 2\pi\,\delta(\omega - \omega_0). Its inverse FT is

12π∫−∞∞2π δ(ω−ω0) ejωt dω=ejω0t\frac{1}{2\pi}\int_{-\infty}^{\infty} 2\pi\,\delta(\omega - \omega_0)\,e^{j\omega t}\,d\omega = e^{j\omega_0 t}

by the sifting property. Hence

ejω0t  ⟷  2π δ(ω−ω0),ejkω0t  ⟷  2π δ(ω−kω0)e^{j\omega_0 t} \;\longleftrightarrow\; 2\pi\,\delta(\omega - \omega_0), \qquad e^{jk\omega_0 t} \;\longleftrightarrow\; 2\pi\,\delta(\omega - k\omega_0)

Step 3: apply linearity to the Fourier series term by term:

X(jω)=∑k=−∞∞2π ak δ(ω−kω0)X(j\omega) = \sum_{k=-\infty}^{\infty} 2\pi\,a_k\,\delta(\omega - k\omega_0)

Result: The FT of a periodic signal is a train of impulses located at the harmonic frequencies kω0k\omega_0, with area 2πak2\pi a_k.

Link with the FT of one period: If X0(jω)X_0(j\omega) is the FT of one period of x(t)x(t), then ak=1T0X0(jkω0)a_k = \frac{1}{T_0}X_0(jk\omega_0), so X(jω)=ω0∑kX0(jkω0)δ(ω−kω0)X(j\omega) = \omega_0\sum_k X_0(jk\omega_0)\delta(\omega-k\omega_0).

Examples:

  • cos⁡ω0t\cos\omega_0 t: a±1=12a_{\pm1} = \frac12, so X(jω)=π[δ(ω−ω0)+δ(ω+ω0)]X(j\omega) = \pi[\delta(\omega-\omega_0) + \delta(\omega+\omega_0)].
  • sin⁡ω0t\sin\omega_0 t: a±1=±12ja_{\pm1} = \pm\frac{1}{2j}, so X(jω)=πj[δ(ω−ω0)−δ(ω+ω0)]X(j\omega) = \frac{\pi}{j}[\delta(\omega-\omega_0) - \delta(\omega+\omega_0)].
  • Impulse train ∑nδ(t−nT)\sum_n\delta(t - nT): ak=1Ta_k = \frac1T, so X(jω)=2πT∑kδ(ω−2πkT)X(j\omega) = \frac{2\pi}{T}\sum_k\delta\left(\omega - \frac{2\pi k}{T}\right).
 X(jw)   2*pi*a_k impulses
          ^
     ^    |    ^
  ^  |    |    |  ^
--+--+----+----+--+--> w
 -2w0 -w0 0   w0 2w0

✓ Answer checked by Claude Opus 5.5 (high effort)

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