The Laplace Trans! arm Method 269
and
1-: 5 ( x - c) dx = l.
Let f(x) be a function which is continuous on some interval about x = c.
We shall define the generalized integral of the product of 5(x - c) and f(x) as
follows:
1-: 5(x - c)f(x) dx = -~~+ 1-: d, (x - c)f(x) dx
l
e+' 1 1
= lim -f(x) dx = lim -f(~)(c + E - c)
,_,a+ c E ,_,a+ E
where c < ~ < c + E. The last equality was obtained by using the mean value
theorem for integrals. Since c < ~ < c+E and f(x) is assumed to be continuous
on some interval about x = c, we have lim,_, 0 + f(~) = f(c). Consequently,
in the context of distribution theory, we have for any function f(x) which is
continuous at x = c,
1-: 5(x - c)f(x) dx = f(c).
Therefore, letting f(x) = e-sx, we have some justification for defining the
Laplace transform of the Dirac delta function 5(x - c), where c > 0, to be
£[5(x - c)] = fo
00
5(x - c)e-sx dx = e-sc.
In what follows we will operate with the Dirac delta function, 5(x - c), as
though it were an ordinary function and we will use the properties discussed
and developed in the preceding paragraphs even though our development of
these properties was not mathematically rigorous. It is perhaps comforting
to know that in the context of distribution theory all these operations and
properties can and have been proven rigorously.
EXAMPLE 1 Solving an Initial Value Problem with an
Impulse Forcing Function
Solve the initial value problem
y" + 2y' + 5y = 35(x - l); y(O) = 0 , y'(O) = 0.
SOLUTION
This initial value problem could represent the damped motion of a mass on