Laplace Transforms

The definition

The Laplace transform turns a function of time f(t)f(t) into a function of ss, turning a differential equation in tt into an algebraic one in ss:

L{f(t)}=F(s)=∫0∞e−stf(t) dt\mathcal{L}\{f(t)\} = F(s) = \int_0^\infty e^{-st} f(t)\, dt

Standard transforms and properties

Common Laplace transforms and properties
f(t)F(s)
111s\dfrac{1}{s}
tnt^nn!sn+1\dfrac{n!}{s^{n+1}} (so t3→6s4t^3 \to \dfrac{6}{s^4})
eate^{at}1s−a\dfrac{1}{s-a}
sin⁡at\sin atas2+a2\dfrac{a}{s^2+a^2}
cos⁡at\cos atss2+a2\dfrac{s}{s^2+a^2}
eatf(t)e^{at}f(t)F(s−a)F(s-a) (first shifting)
f(t−a)u(t−a)f(t-a)u(t-a), a>0a > 0e−asF(s)e^{-as}F(s) (second shifting)
t f(t)t\,f(t)−F′(s)-F'(s)
f′(t)f'(t)sF(s)−f(0)sF(s) - f(0)
f′′(t)f''(t)s2F(s)−sf(0)−f′(0)s^2F(s) - sf(0) - f'(0)

The transform is linear, so it can be applied term by term.

Worked example: first shifting

From L{sin⁡4t}=4s2+16\mathcal{L}\{\sin 4t\} = \dfrac{4}{s^2+16}, replacing ss with s−3s-3 gives L{e3tsin⁡4t}=4(s−3)2+16\mathcal{L}\{e^{3t}\sin 4t\} = \dfrac{4}{(s-3)^2+16}.

Similarly, L{tsin⁡t}=−dds(1s2+1)=2s(s2+1)2\mathcal{L}\{t\sin t\} = -\dfrac{d}{ds}\left(\dfrac{1}{s^2+1}\right) = \dfrac{2s}{(s^2+1)^2}.

Worked example: a first-order ODE

Solve dydt+2y=e−t\dfrac{dy}{dt} + 2y = e^{-t} with y(0)=0y(0)=0.

sY−0+2Y=1s+1  ⇒  Y=1(s+1)(s+2)=1s+1−1s+2  ⇒  y(t)=e−t−e−2tsY - 0 + 2Y = \dfrac{1}{s+1} \;\Rightarrow\; Y = \dfrac{1}{(s+1)(s+2)} = \dfrac{1}{s+1} - \dfrac{1}{s+2} \;\Rightarrow\; y(t) = e^{-t} - e^{-2t}

Check: y(0)=0y(0) = 0, and y′+2y=(−e−t+2e−2t)+(2e−t−2e−2t)=e−ty' + 2y = (-e^{-t}+2e^{-2t}) + (2e^{-t}-2e^{-2t}) = e^{-t}.

Worked example: a second-order ODE

Solve y′′+3y′+2y=0y'' + 3y' + 2y = 0 with y(0)=1y(0) = 1 and y′(0)=0y'(0) = 0.

(s2Y−s)+3(sY−1)+2Y=0  ⇒  Y=s+3(s+1)(s+2)=2s+1−1s+2(s^2Y - s) + 3(sY - 1) + 2Y = 0 \;\Rightarrow\; Y = \dfrac{s+3}{(s+1)(s+2)} = \dfrac{2}{s+1} - \dfrac{1}{s+2}

So y(t)=2e−t−e−2ty(t) = 2e^{-t} - e^{-2t}. Check: y(0)=2−1=1y(0) = 2 - 1 = 1 and y′(0)=−2+2=0y'(0) = -2 + 2 = 0.

Initial and final value theorems

f(0+)=lim⁡s→∞sF(s)f(0^+) = \lim_{s\to\infty} sF(s), and f(∞)=lim⁡s→0sF(s)f(\infty) = \lim_{s\to0} sF(s) when ff settles to a limit (all poles of sF(s)sF(s) in the left half-plane). For F(s)=1s(s+2)F(s) = \dfrac{1}{s(s+2)}: f(∞)=lim⁡s→01s+2=12f(\infty) = \lim_{s\to0}\dfrac{1}{s+2} = \dfrac{1}{2}, which matches f(t)=12−12e−2tf(t) = \dfrac{1}{2} - \dfrac{1}{2}e^{-2t}.

Common mistakes

  • Dropping initial conditions in L{y′}=sY−y(0)\mathcal{L}\{y'\} = sY - y(0) and the second-derivative formula.
  • Writing L{tn}=nsn+1\mathcal{L}\{t^n\} = \dfrac{n}{s^{n+1}}. It's n!n! on top.
  • Using the final value theorem when ff doesn't settle. For sin⁡t\sin t it gives a wrong answer, because the poles are on the imaginary axis.
  • Mixing up the two shifting theorems: eate^{at} shifts ss, while a time delay multiplies by e−ase^{-as}.

Where this comes up in exams

Laplace transforms are listed in the GATE 2027 syllabi for EC (solving network equations), EE and IN (Signals and Systems), and ME (Differential Equations).

Checked against GATE 2027 EC syllabus, GATE 2027 EE syllabus, GATE 2027 IN syllabus and GATE 2027 ME syllabus. Syllabi can change from year to year, so confirm with the latest official notification for your exam.

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Laplace transforms and Fourier series are the two core tools for moving a problem out of the time domain.

From past GATE papers