Concept:
One of the most important properties of the Fourier Transform is the Time Scaling Property.
This property explains how the spectrum of a signal changes when the time axis is compressed or expanded.
If
\[
f(t)
\;\xleftrightarrow{\mathcal F}\;
F(\omega),
\]
then scaling the time variable by a factor \(a\) affects both the amplitude and frequency axes of the transform.
Step 1: Write the Fourier transform definition.
The Fourier transform of \(f(t)\) is
\[
F(\omega)
=
\int_{-\infty}^{\infty}
f(t)e^{-j\omega t}\,dt.
\]
Now consider the transformed signal
\[
g(t)=f(at).
\]
We wish to determine its Fourier transform.
Step 2: Apply the Fourier transform to \(f(at)\).
Let
\[
G(\omega)
=
\int_{-\infty}^{\infty}
f(at)e^{-j\omega t}\,dt.
\]
Introduce the substitution
\[
u=at.
\]
Then
\[
t=\frac{u}{a},
\qquad
dt=\frac{du}{a}.
\]
Substituting,
\[
G(\omega)
=
\int_{-\infty}^{\infty}
f(u)
e^{-j\omega u/a}
\frac{du}{a}.
\]
\[
=
\frac{1}{a}
\int_{-\infty}^{\infty}
f(u)
e^{-j(\omega/a)u}
\,du.
\]
Step 3: Recognize the resulting integral.
The integral
\[
\int_{-\infty}^{\infty}
f(u)
e^{-j(\omega/a)u}
\,du
\]
is simply
\[
F\!\left(\frac{\omega}{a}\right).
\]
Therefore,
\[
G(\omega)
=
\frac{1}{a}
F\!\left(\frac{\omega}{a}\right).
\]
Step 4: State the Time Scaling Property.
Hence,
\[
\boxed{
f(at)
\;\xleftrightarrow{\mathcal F}\;
\frac{1}{a}
F\!\left(\frac{\omega}{a}\right)
}
\]
for \(a>0\).
Thus the correct option is
\[
\boxed{
\frac{1}{a}
F\!\left(\frac{\omega}{a}\right)
}.
\]