Table Of Laplace Transforms — Question 6

PDF ↗

Question 6

Use causal one-sided Laplace transforms. Write Ha(t)=0H_a(t)=0 for t<at<a and 11 for t≥at\ge a. Ordinary functions are zero for t<0t<0. Justify the table entries and operational rules you use; give exact expressions.

Let pp be the continuous periodic triangular signal of period 22 with p(t)={t,0≤t≤1,2−t,1≤t<2,p(t+2)=p(t).p(t)=\begin{cases}t,&0\le t\le 1,\\2-t,&1\le t<2,\end{cases} \qquad p(t+2)=p(t). A standard table lists delayed ramps but does not list this periodic function.

Tasks

  1. Derive the periodic-transform formula by splitting the half-line into cycles. Apply it to this signal.

  2. Write a locally finite series of delayed ramps for pp and use it to obtain the same transform independently.

  3. Find the exact real transform domain. Compute lim⁡s→0+sP(s)\lim_{s\to 0^+}sP(s) and interpret it using the mean over one period.

  4. Explain why the cycle mean is not a pointwise final value, and determine the first two leading terms of P(s)P(s) as s→0+s\to 0^+.

Original worksheet page 1: question and worked solution for 4-10-006
Show solutionHide solution

Question 6 – Solution

Strategy. A one-cycle transform and a geometric series supply the periodic row; delayed ramps independently encode its slope changes.

Step 1: Sum the cycles. For s>0s>0, boundedness gives absolute convergence. Splitting into intervals [2n,2n+2][2n,2n+2] and translating yields P(s)=∫02e−stp(t)dt1−e−2s=(1−e−s)2s2(1−e−2s)=1−e−ss2(1+e−s).P(s)=\frac{\int_0^2e^{-st}p(t)\,dt}{1-e^{-2s}} =\boxed{\frac{(1-e^{-s})^2}{s^2(1-e^{-2s})} =\frac{1-e^{-s}}{s^2(1+e^{-s})}.} The one-cycle integral is (1−e−s)2/s2(1-e^{-s})^2/s^2, obtained by integration by parts on [0,1][0,1] and [1,2][1,2].

Step 2: Recover the slope changes. Write Ra=(t−a)Ha(t)R_a=(t-a)H_a(t). The series p(t)=∑n=0∞[R2n−2R2n+1+R2n+2]p(t)=\sum_{n=0}^\infty[R_{2n}-2R_{2n+1}+R_{2n+2}] is locally finite; each bracket is a unit triangular pulse on [2n,2n+2][2n,2n+2]. Its transform is e−2ns(1−2e−s+e−2s)/s2e^{-2ns}(1-2e^{-s}+e^{-2s})/s^2. Summing for s>0s>0 gives the same PP. These brackets, rather than the individual growing ramps across all cycles, also make absolute convergence clear.

Step 3: Check convergence and the mean. The signal is bounded, nonnegative and has area 11 per period. Thus the exact real domain is s>0s>0: at s=0s=0 the areas sum to infinity, and for s<0s<0 the weighted cycle contributions grow. Using (1−e−s)/(1+e−s)=tanh⁡(s/2)(1-e^{-s})/(1+e^{-s})=\tanh(s/2), lim⁡s→0+sP(s)=1/2\lim_{s\to 0^+}sP(s)=\boxed{1/2}, the cycle mean 1/21/2.

Step 4: Distinguish the limit notions. The samples p(2n)=0p(2n)=0 and p(2n+1)=1p(2n+1)=1 rule out a pointwise final value. Taylor expansion of the last quotient gives P(s)=12s−s24+O(s3).\boxed{P(s)=\frac 1{2s}-\frac{s}{24}+O(s^3).} The leading pole records the mean, while the constant term vanishes. The figure displays continuous corners and equal successive cycles.

See the diagram in the original worksheet below.

Original worksheet page 2: question and worked solution for 4-10-006

Original worksheet layout. Use Enlarge or open the PDF for a closer view.