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Multiplication by t ↔ differentiation

Short answer

Multiplication by t corresponds to j times the derivative of the Fourier transform: t x(t) ↔ j dX(ω)/dω. This is proven by differentiating the Fourier integral with respect to ω and then multiplying by j.

Show that the multiplication of a signal x(t) by t is equivalent to differentiation of its Fourier Transform.

Statement (differentiation in frequency)

If x(t)↔FX(ω)x(t) \xleftrightarrow{F} X(\omega), then

t x(t)↔FjdX(ω)dωt\,x(t) \xleftrightarrow{F} j\frac{dX(\omega)}{d\omega}

Proof

Start from the definition:

X(ω)=∫−∞∞x(t)e−jωtdtX(\omega) = \int_{-\infty}^{\infty}x(t)e^{-j\omega t}dt

Differentiate both sides with respect to ω\omega. Differentiation can be taken inside the integral, since the limits do not depend on ω\omega:

dX(ω)dω=∫−∞∞x(t)∂∂ωe−jωtdt=∫−∞∞(−jt) x(t)e−jωtdt\frac{dX(\omega)}{d\omega} = \int_{-\infty}^{\infty}x(t)\frac{\partial}{\partial\omega}e^{-j\omega t}dt = \int_{-\infty}^{\infty}(-jt)\,x(t)e^{-j\omega t}dt

Multiply both sides by jj, using j(−j)=1j(-j) = 1:

jdX(ω)dω=∫−∞∞t x(t)e−jωtdt=F{t x(t)}j\frac{dX(\omega)}{d\omega} = \int_{-\infty}^{\infty}t\,x(t)e^{-j\omega t}dt = F\{t\,x(t)\}

So multiplying by tt in time is the same as differentiating in frequency (and multiplying by jj). Repeating the step gives tnx(t)↔jndnX(ω)dωnt^n x(t) \leftrightarrow j^n\frac{d^nX(\omega)}{d\omega^n}.

Example

e−atu(t)↔1a+jωe^{-at}u(t) \leftrightarrow \frac{1}{a + j\omega}, so

t e−atu(t)↔jddω(1a+jω)=j⋅−j(a+jω)2=1(a+jω)2t\,e^{-at}u(t) \leftrightarrow j\frac{d}{d\omega}\left(\frac{1}{a + j\omega}\right) = j\cdot\frac{-j}{(a + j\omega)^2} = \frac{1}{(a + j\omega)^2}

✓ Answer checked by Claude Opus 5.5 (high effort)

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