Rather than expanding the DTFT sum from scratch, we can use a standard result every signals-and-systems student should know by heart: the symmetry of $x[n]$ (real, even, odd) fixes the symmetry of its DTFT $X(e^{j\omega})$. Let's check each option using that rule.
A quick way to see why this rule holds: writing $X(e^{j\omega}) = \sum_n x[n]\cos(\omega n) - j\sum_n x[n]\sin(\omega n)$, an odd $x[n]$ makes every term of the cosine sum cancel with its mirror term at $-n$ (cosine is even, so the odd sequence values at $n$ and $-n$ are opposite and multiply by equal cosine factors, giving a perfect cancellation), while the sine sum's terms reinforce each other instead of cancelling (sine is odd, so two sign flips cancel out, leaving the terms equal). The real part vanishes and only the odd imaginary part survives.
Let's summarize:
So the correct choice is that $X(e^{j\omega})$ is imaginary and odd, option (D).
Signals and their Fourier Transforms are given in the table below. Match LIST-I with LIST-II and choose the correct answer.
| LIST-I | LIST-II |
|---|---|
| A. \( e^{-at}u(t), a>0 \) | I. \( \pi[\delta(\omega - \omega_0) + \delta(\omega + \omega_0)] \) |
| B. \( \cos \omega_0 t \) | II. \( \frac{1}{j\omega + a} \) |
| C. \( \sin \omega_0 t \) | III. \( \frac{1}{(j\omega + a)^2} \) |
| D. \( te^{-at}u(t), a>0 \) | IV. \( -j\pi[\delta(\omega - \omega_0) - \delta(\omega + \omega_0)] \) |