Skip to main content

CTFT linearity and time shifting

Short answer

Linearity: a x₁(t) + b x₂(t) ↔ a X₁(jω) + b X₂(jω). Time shifting: x(t – t₀) ↔ e^{-jω t₀} X(jω); delay adds linear phase –ω t₀ but does not change the magnitude spectrum.

Explain the linearity and time shifting properties of continuous time Fourier transform.

Linearity property

If x1(t)↔X1(jω)x_1(t) \leftrightarrow X_1(j\omega) and x2(t)↔X2(jω)x_2(t) \leftrightarrow X_2(j\omega), then for any constants aa and bb:

a x1(t)+b x2(t)  ⟷  a X1(jω)+b X2(jω)a\,x_1(t) + b\,x_2(t) \;\longleftrightarrow\; a\,X_1(j\omega) + b\,X_2(j\omega)

Proof: ∫[ax1(t)+bx2(t)]e−jωtdt=a∫x1e−jωtdt+b∫x2e−jωtdt=aX1+bX2\int[a x_1(t) + b x_2(t)]e^{-j\omega t}dt = a\int x_1e^{-j\omega t}dt + b\int x_2e^{-j\omega t}dt = aX_1 + bX_2, because integration is linear.

Meaning: The FT of a sum is the sum of the FTs; superposition holds. Example: cos⁡ω0t=12(ejω0t+e−jω0t)↔π[δ(ω−ω0)+δ(ω+ω0)]\cos\omega_0t = \frac{1}{2}(e^{j\omega_0t} + e^{-j\omega_0t}) \leftrightarrow \pi[\delta(\omega-\omega_0) + \delta(\omega+\omega_0)].

Time shifting property

x(t−t0)  ⟷  e−jωt0 X(jω)x(t - t_0) \;\longleftrightarrow\; e^{-j\omega t_0}\,X(j\omega)

Proof: Put τ=t−t0\tau = t - t_0:

∫−∞∞x(t−t0)e−jωtdt=∫−∞∞x(τ)e−jω(τ+t0)dτ=e−jωt0X(jω)\int_{-\infty}^{\infty}x(t-t_0)e^{-j\omega t}dt = \int_{-\infty}^{\infty}x(\tau)e^{-j\omega(\tau+t_0)}d\tau = e^{-j\omega t_0}X(j\omega)

Meaning: A delay does not change the magnitude spectrum, ∣X(jω)∣|X(j\omega)|; it only adds a linear phase −ωt0-\omega t_0. Example: δ(t)↔1\delta(t) \leftrightarrow 1, so δ(t−2)↔e−j2ω\delta(t-2) \leftrightarrow e^{-j2\omega} (magnitude 1, phase −2ω-2\omega).

✓ Answer checked by Claude Opus 5.5 (high effort)

All Signals and Systems chapter 3 questions →