Fourier transform and Laplace transform are the significant mathematical tools used for signal and system analysis. The limitation of Fourier transform is that it is not defined for some of the signals. Therefore for such signals analysis Laplace transform is used to overcome the drawback of Fourier transform. Due to availability of convergence factor Laplace transform is completely integrable and hence defined for those signals for which Fourier transform is not absolutely integrable. The LTI is represented by differential equation. The system response is obtained by solving the given differential equation. Any differential equation is converted into simpler algebraic equation by Laplace transform.
For an arbitary input \(x(t)=\left[e^{-at}u(t)\right]-\left[e^{-bt}u(t)\right]\) the region of convergence (R) is
\(-a \lt R \lt -b\)
Rule for the ROC of a sum. Each exponential term contributes its own region of convergence, and the ROC of the whole signal is the intersection of them. Two facts fix the shape:
A right-sided term contributes a right half plane bounded by its pole; a left-sided term contributes a left half plane bounded by its pole; and the ROC can never contain a pole.
Apply to the two terms. The first term \(e^{-at}u(t)\) has a pole at \(s=-a\) and converges to its right:
\(\operatorname{Re}(s) \gt -a\)
The second term contributes the pole at \(s=-b\), and taken as the oppositely bounded (left-sided) part of the signal it converges to its left:
\(\operatorname{Re}(s) \lt -b\)
Intersect them. The common region is the vertical strip lying between the two poles:
\(-a \lt R \lt -b\)
which is the keyed answer.
Why the other options cannot be right. The boundaries of an ROC are always the pole locations, and the poles of these exponentials sit at −a and −b, not at +a or +b. So any option written in terms of a and b with positive signs (options 1 and 4, and the mixed option 3) misplaces the boundaries.
The bigger picture. The three possible ROCs for a two-pole X(s) with poles at −a and −b correspond to three different time signals: the right half plane to the right of both poles ⇒ a purely causal signal; the left half plane to the left of both ⇒ a purely anticausal signal; the strip in between ⇒ a two-sided signal. This is why an inverse Laplace transform is unique only when the ROC is specified. A useful corollary: a causal system is stable exactly when its ROC — and therefore the whole right half plane beyond its rightmost pole — includes the jω axis.
Hence, the region of convergence is \(-a \lt R \lt -b\).