Signals and Systems · Laplace and z transforms
Use the bilateral Laplace transform with absolute-convergence ROC
Problem
Use the bilateral Laplace transform with absolute-convergence ROC. Let \(u(t)=1\) for \(t>0\) and \(u(t)=0\) for \(t<0\), with \(t\) in seconds and \(s\) in \(\mathrm{s}^{-1}\). Let \[ x(t)=3\,e^{-5t}\,u(t), \] and let \(X(s)\) denote its bilateral Laplace transform. (a) Determine \(X(s)\) and its ROC. (b) Let \(x_{\mathrm{r}}(t)=x(-t)\). Using the defining integral (or a time-reversal theorem whose ROC transformation you state), determine the bilateral Laplace transform of \(x_{\mathrm{r}}\) and its ROC. Locate the pole of the reversed-signal transform. (c) Let \(a=2.00\) (dimensionless) and define \(x_{\mathrm{c}}(t)=x(at)\). Determine the bilateral Laplace transform of \(x_{\mathrm{c}}\) and its ROC. Then repeat for \(a=-2.00\). In each case report the pole location.
Hint
Time reversal replaces \(s\) by \(-s\) and reflects the ROC through the origin. Time scaling \(t\mapsto at\) replaces \(s\) by \(s/a\) and multiplies by \(1/|a|\).
Check your work
Work the problem yourself first. Then open it in Training to check your answer and read the full worked solution.
The answer check and full solution for this problem come with ProofAnvil Practice membership ($19 USD monthly). See membership. Or start with the free Signals and Systems sample problem: Try the free sample problem.
More Signals and Systems practice problems
- Throughout this problem, t∈R is measured in secondsSignal spaces and LTI systems
- Continuous-time time scaling x(t/2) is defined for every real t whenever x is defined on RSignal spaces and LTI systems
- Let u[n]=1 for n≥ 0 and u[n]=0 for n<0Signal spaces and LTI systems
- Continuous-time signals are real functions of t∈R with t in seconds, and discrete-time…Continuous and discrete convolution
- Continuous-time systems act on real functions of t∈R with t in seconds, and…Continuous and discrete convolution
- A rectangular voltage pulse of height 9.00 V and width τ=0.200 ms, centered at the…Fourier series and transforms
- Sampling is x[n]=x_c(nT_s) with f_s=1/T_s=8000 Hz and t in secondsLaplace and z transforms
- Time t is in seconds and s is in s^(-1)Sampling, aliasing, and reconstruction
- Stable eigenvalues can amplify the state before every mode decaysState-space systems, causality, and stability