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.
Laplace transform is defined when
\(\int_{-\infty}^{\infty} |x(t)|e^{-\sigma t}\,dt \lt \infty\)
The existence question. The Laplace transform
\(X(s)=\int_{-\infty}^{\infty}x(t)e^{-st}\,dt\)
is meaningful only where the integral converges. The standard sufficient test is absolute convergence: the integral of the magnitude of the integrand must be finite.
Step 1 — take the magnitude of the kernel. With \(s=\sigma+j\omega\),
\(\left|e^{-st}\right|=\left|e^{-\sigma t}\right|\left|e^{-j\omega t}\right|=e^{-\sigma t}\)
because the oscillating factor has unit magnitude, \(\left|e^{-j\omega t}\right|=1\). Only the real part σ affects convergence — the imaginary part merely rotates the phase.
Step 2 — write the condition.
\(\int_{-\infty}^{\infty}\left|x(t)e^{-st}\right|dt=\int_{-\infty}^{\infty}\left|x(t)\right|e^{-\sigma t}\,dt \lt \infty\)
which is option 4.
Why the other options fail.
Option 2, \(\int|x(t)|dt \lt \infty\), is the existence condition for the Fourier transform (a Dirichlet condition). It is far more restrictive — it excludes u(t), the ramp and \(e^{+at}u(t)\), all of which have perfectly good Laplace transforms. It also omits σ entirely, so it cannot describe a region of convergence.
Options 1 and 3 use \(|x(t)|^{2}\), which is an energy condition (square integrability), not the absolute-integrability test that governs the convergence of this integral.
What this condition buys you — the ROC. The set of σ values satisfying the inequality forms the region of convergence, always a vertical strip or half-plane in the s-plane bounded by poles. For a right-sided signal \(e^{-at}u(t)\), for example, \(\int_0^{\infty}e^{-at}e^{-\sigma t}dt\) converges for \(\sigma \gt -a\). The damping factor is precisely what lets Laplace handle signals that grow without bound, provided σ is chosen large enough.
Hence, the Laplace transform is defined when \(\int_{-\infty}^{\infty}|x(t)|e^{-\sigma t}\,dt \lt \infty\).
Which of the following statements regarding Laplace and Fourier transforms are correct?
A. In order for a function to possess a Laplace transform, it must obey the condition \(\rm \displaystyle \int_{0^-}^\infty |f(t)|e^{-\alpha t}dt>\infty, \alpha\in Re^+\)
B. In order for a function to possess a Laplace transform, it must obey the condition \(\rm \displaystyle \int_{0^-}^\infty |f(t)|e^{-\alpha t}dt<\infty, \alpha\in Re^+\)
C. For a function to have a Fourier transform, it must obey the condition \(\rm \displaystyle \int_{-\infty}^\infty |f(t)|dt<\infty, \)
D. For a function to have a Fourier transform, it must obey the condition \(\rm \displaystyle \int_{-\infty}^\infty |f(t)|e^{-\alpha t}<\infty, \)
Choose the correct answer from the options given below: