How the Laplace transform turns a linear initial-value problem into algebra, for which s it converges, and how steps, impulses and convolution handle switched and sudden inputs.
A circuit is switched on at t=2, or a hammer strikes a spring at one instant. Inputs like these jump or act all at once, and the usual guess and check methods struggle with them. The Laplace transform replaces a function of time by a function of a new variable s, and turns differentiation into multiplication by s. A linear initial-value problem then becomes an algebra problem, with the initial values already built in.
Key terms
Laplace transform as an improper integral
Definition Let f be defined for t≥0 and integrable on every interval [0,T]. Its Laplace transform L{f} is the function
F(s)=∫0∞e−stf(t)dt=T→∞lim∫0Te−stf(t)dt,
defined for those real numbers s for which this limit exists as a finite number. Only the values of f for t≥0 matter, which is why it is called the one-sided Laplace transform.
In plain words Multiply f(t) by the decaying envelope e−st and add up all the area from 0 to ∞. Each value of s gives one number, and together those numbers form the new function F.
Example For f(t)=e2t and s>2,
∫0Te−ste2tdt=s−21−e−(s−2)T→s−21 as T→∞,
because e−(s−2)T→0 when s−2>0. So L{e2t}=s−21 for s>2. The same computation gives L{eat}=s−a1 for s>a, and L{1}=s1 for s>0.
Region of convergence
Definition The region of convergence of L{f} is the set of real s for which the improper integral converges. A function f is of exponential order a if there are constants M>0 and T0≥0 with
∣f(t)∣≤Meatfor all t≥T0.
Existence theorem. If f is piecewise continuous on every interval [0,T] and of exponential order a, then the integral converges absolutely for every s>a, and F(s)→0 as s→∞. Unless it is empty or the whole real line, the region of convergence is a half-line. For absolute convergence this is easy to see, because if the integral of e−s0t∣f(t)∣ is finite, then so is the integral of the smaller function e−st∣f(t)∣ for every s>s0.
In plain words The envelope e−st has to beat the growth of f. Past some value of s it always does for functions that grow no faster than an exponential, and every formula in a table of Laplace transforms comes with that range of s attached.
Example For f(t)=e2t and s≤2 the integrand is e(2−s)t≥1, so the integral diverges. The region of convergence is exactly s>2. The formula s−21 still produces numbers for s<2, for example −1 at s=1, but those numbers are not values of the Laplace transform. At the other extreme, f(t)=et2 is of no exponential order and et2−st→∞ for every s, so it has no Laplace transform at all.
Laplace transforms of derivatives
Definition Suppose f is continuous on [0,∞) and of exponential order a, and f′ is piecewise continuous on every interval [0,T]. Then for s>a
L{f′}(s)=sF(s)−f(0).
If also f′ is continuous on [0,∞) and of exponential order a, and f′′ is piecewise continuous on every [0,T], then for s>a
L{f′′}(s)=s2F(s)−sf(0)−f′(0).
The proof is integration by parts on [0,T], where the boundary term e−sTf(T) tends to 0 because s>a.
In plain words Differentiating in time becomes multiplying by s, minus a correction that carries the initial value. That is how the initial conditions enter the algebra.
Example Take f(t)=sin3t, so F(s)=s2+93 for s>0 and f(0)=0. The rule predicts
L{3cos3t}=s⋅s2+93−0=s2+93s,s>0,
which agrees with three times the entry L{cos3t}=s2+9s in the table of Laplace transforms on the reference sheet.
Inverse Laplace transform
Definition Uniqueness theorem. Let f and g be piecewise continuous on every [0,T] and of exponential order, with L{f}(s)=L{g}(s) for all s greater than some s0. Then f(t)=g(t) at every t≥0 where both are continuous. In particular two continuous functions with the same Laplace transform are equal everywhere on [0,∞). The inverse Laplace transform L−1{F} is the continuous f with L{f}=F when there is one. Otherwise it is a piecewise continuous f, determined except at its points of discontinuity, where the values do not matter. The inverse is linear.
In plain words The function F determines f up to values at isolated jumps, so you can read answers backward from a table. In practice you split F into pieces that appear in the table, usually by partial fractions.
Example Partial fractions give
(s+1)(s+2)s+5=s+14−s+23,
with 4=−1+2−1+5 and −3=−2+1−2+5. Since L{e−t}=s+11 and L{e−2t}=s+21,
L−1{(s+1)(s+2)s+5}=4e−t−3e−2t.
Step functions and the delay rule
Definition For c≥0 the unit step function is
uc(t)={0,1,0≤t<c,t≥c,
with L{uc}=se−cs for s>0. Delay rule. If L{f}=F(s) exists for s>a and c≥0, then for s>a
L{uc(t)f(t−c)}=e−csF(s).
The graph of uc(t)f(t−c) is the graph of f moved c units to the right, with the value 0 before t=c.
In plain words A step switches something on at time c. Delaying a signal by c multiplies F(s) by e−cs. The shift must be applied to the whole function, so you rewrite f(t) in terms of t−c before using the rule.
Example A ramp input rises like t until t=2 and then holds at 2. As a single formula,
g(t)=t−u2(t)(t−2),t≥0.
The second term is f(t)=t delayed by 2, so
G(s)=s21−s2e−2s,s>0.
Impulse as a generalized input
Definition For c>0 and ε>0, the pulse dε(t)=ε1(uc(t)−uc+ε(t)) has height ε1 on [c,c+ε) and total area 1. For each s>0 its Laplace transform satisfies
L{dε}=e−csεs1−e−εs→e−cs as ε→0+.
The unit impulse at c, written δ(t−c), is the generalized input whose integral against each g continuous on [0,∞) is the limit of the pulse integrals,
∫0∞δ(t−c)g(t)dt=ε→0+lim∫0∞dε(t)g(t)dt=g(c).
The choice g(t)=e−st gives L{δ(t−c)}=e−cs, the limit above. The impulse is not an ordinary function. The condition c>0 keeps the kick inside the interval of integration, and an impulse at t=0 needs an extra convention about the lower limit. No piecewise continuous function f of exponential order has Laplace transform e−cs. Otherwise its running integral h(t)=∫0tf(τ)dτ would have Laplace transform se−cs by the derivative rule, so uniqueness would give h=uc away from t=c, which is impossible because h is continuous and uc jumps at c.
In plain words An impulse is a kick of total size 1 delivered in no time at all. It is the idealization of a very short, very strong push, and in the s variable it is as easy to handle as a step.
Example With c=1 and s=1 the values approach e−1≈0.3679 as the pulse narrows.
ε
L{dε}(1)
1
0.2325
0.1
0.3501
0.01
0.3660
Convolution
Definition For f and g piecewise continuous on every [0,T], their convolution is
(f∗g)(t)=∫0tf(τ)g(t−τ)dτ
for t≥0. Convolution theorem. If f and g are piecewise continuous on every [0,T] and of exponential order a, then f∗g is of exponential order b for every b>a, and for s>a
L{f∗g}(s)=F(s)G(s).
In plain words A product of Laplace transforms is the Laplace transform of a convolution, not of the product f(t)g(t). Convolution adds up the input received at each earlier time τ weighted by how the system responds after the remaining time t−τ.
Example Take f(t)=1 and g(t)=sint. Then
(1∗sin)(t)=∫0tsin(t−τ)dτ=1−cost.
The convolution theorem agrees. For s>0
s1⋅s2+11=s1−s2+1s=L{1−cost}.
Solving linear initial-value problems
Definition Consider ay′′+by′+cy=g(t) with constants a=0, b, c, initial values y(0)=y0 and y′(0)=y1, and g piecewise continuous on every [0,T] and of exponential order. Then the solution y and its derivative y′ are continuous and of exponential order, so the rules above apply. Taking Laplace transforms gives
(as2+bs+c)Y(s)=G(s)+a(sy0+y1)+by0,
valid for all s large enough. Solve for Y, apply the inverse Laplace transform, and the result is the solution for t≥0. When g has jumps, y′′ jumps there too and the equation holds except at those points. With an impulse input kδ(t−t0), where t0>0, the solution stays continuous and y′ jumps by ak at t=t0.
In plain words Apply L to the equation, solve a linear equation for Y, and go back with the inverse. The initial values are used in the first step, so no constants are left to fit at the end.
Example Solve y′′+3y′+2y=2 with y(0)=0 and y′(0)=0. Applying L to both sides gives (s2+3s+2)Y=s2 for s>0, so
Y(s)=s(s+1)(s+2)2=s1−s+12+s+21.
Inverting term by term,
y(t)=1−2e−t+e−2t,t≥0.
To check, y(0)=1−2+1=0 and y′(0)=2−2=0. Substituting into the equation, the e−t terms give −2+6−4=0, the e−2t terms give 4−6+2=0, and the constant gives 2.
Check yourself
Solve y′+y=u2(t) with y(0)=0. This is a switched input that turns on at t=2.
Show the answer
Applying L gives (s+1)Y=se−2s for s>0, so
Y(s)=e−2s(s1−s+11).
By the delay rule
y(t)=u2(t)(1−e−(t−2)).
The solution is 0 until t=2, then rises toward 1. It is continuous, while y′ jumps from 0 to 1 at t=2.
Solve y′′+y=δ(t−π) with y(0)=0 and y′(0)=1, and describe what the impulse does.
Show the answer
Applying L gives (s2+1)Y−1=e−πs for s>0, so
Y(s)=s2+11+s2+1e−πs.
By the delay rule y(t)=sint+uπ(t)sin(t−π)=sint−uπ(t)sint. So y=sint for 0≤t<π and y=0 for t≥π. Just before t=π the velocity is cosπ=−1, and the unit impulse raises it by 1 to 0, which stops the oscillation exactly at rest.
Find the Laplace transform of h(t)=u1(t)(t−1) and state where it converges.
Show the answer
This is the ramp f(t)=t delayed by 1, and L{t}=s21 for s>0. The delay rule gives s2e−s, valid for s>0.
How this lesson connects
It also uses Improper integrals, Linear differential equations and initial values and Integration by parts.
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