Fourier Transform of the Sine Function

The Fourier transform of the trigonometric function of the sine in the time domain

$$ x(t) = \sin(2 \pi f_0 t) $$

is computed by evaluating the Fourier integral

$$ X(f) = \int_{-\infty}^{+\infty} x(t) \cdot e^{-j 2 \pi f t} \, dt $$

However, it’s far simpler to express the sine function using complex exponentials, utilizing Euler's formula:

$$ x(t) = \sin(2 \pi f_0 t) = \frac{e^{j 2 \pi f_0 t} - e^{-j 2 \pi f_0 t}}{2j} $$

Consequently, I can rewrite \( x(t) = \sin(2 \pi f_0 t) \) as:

$$ x(t) = \frac{1}{2j} e^{j 2 \pi f_0 t} - \frac{1}{2j} e^{-j 2 \pi f_0 t} $$

Next, I will compute the Fourier transform of each term separately:

$$ X(f) = F \left[ \frac{1}{2j} e^{j 2 \pi f_0 t} - \frac{1}{2j} e^{-j 2 \pi f_0 t} \right] $$

Thanks to the linearity of the Fourier transform, I can express this as

$$ X(f) = \frac{1}{2j} \cdot F \left[ e^{j 2 \pi f_0 t} \right] - \frac{1}{2j} \cdot F \left[ e^{-j 2 \pi f_0 t} \right] $$

From known Fourier transforms, I can assert that:

  • The transform of \( e^{j 2 \pi f_0 t} \) corresponds to an impulse at \( f = f_0 \),
  • The transform of \( e^{-j 2 \pi f_0 t} \) corresponds to an impulse at \( f = -f_0 \).

Thus, substituting these results yields the Fourier transform of \( x(t) = \sin(2 \pi f_0 t) \) as:

$$ X(f) = \frac{1}{2j} \delta(f - f_0) - \frac{1}{2j} \delta(f + f_0) $$

In conclusion, the Fourier transform of the sine function is represented as the difference of two impulses located at frequencies \( \pm f_0 \), with an imaginary factor of \( \frac{1}{2j} \) that reflects its sinusoidal nature.

the diagram in time and frequency

This expression illustrates how the energy of the sine function concentrates at frequencies \( \pm f_0 \) in the frequency domain, but with a different phase compared to the cosine function.

And so forth.

 

 
 

Please feel free to point out any errors or typos, or share suggestions to improve these notes. English isn't my first language, so if you notice any mistakes, let me know, and I'll be sure to fix them.

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Fourier Transforms

Known Transforms