Laplace Transformation
1. Basic notions
Definition
For any complex valued function f defined for t > 0 and complex number s, one defines
the Laplace transform of f (t) by
                                          Z ∞
                                  F (s) =     e−st f (t) dt,
                                             0
if the above improper integral converges.
Notation
We use L(f (t)) to denote the Laplace transform of f (t).
Remark
It is clear that Laplace transformation is a linear operation: for any constants a and b :
                           L(af (t) + bg(t)) = aL(f (t)) + bL(g(t)).
Remark
It is evident that F (s) may exist for certain values of s only. For instance, if f (t) = t, the
Laplace transform of f (t) is given by (using integration by parts : u $ t, v 0 $ e−st ):
Z                             Z
                t −st       1                 t       1
      −st
    te dt = − e − (−            e−st dt) = − e−st + 2 e−st ;
        Z ∞     s           s            ∞ s         s
                          t       1             1
  ;         te−st dt = − e−st + 2 e−st  = 2 if s > 0 and does not exists if s ≤ 0 .
                                         
          0              s       s         0    s
                    1
Therefore L(t) =       .
                    s2
Theorem
If f (t) is a piecewise continuous function defined for t ≥ 0 and satisfies the inequality
|f (t)| ≤ M ept for all t ≥ 0 and for some real constants p and M , then the Laplace
transform Lf (t)) is well defined for all Re s > p.
Illustration
The function f (t) = e3t has Laplace transform defined for any Re s > 3, while g(t) = sin kt
has Laplace transform defined for any Re s > 0. The tables on the following page give the
Laplace transforms of some elementary functions.
Remark
It is clear from the definition of Laplace Transform that if f (t) = g(t) , for t ≥ 0, then
F (s) = G(s). For instance, if H(t) is the unit step function defined in the following way:
                                                                        1
H(t) = 0 if t < 0 and H(t) = 1 if t ≥ 0 , then L(H(t)) = L(1) = and (as we have
                                                                        s
                                    1                                        n!
seen above) L(H(t)t) = L(t) = 2 . Generally, L(H(t)tn ) = L(tn ) = n+1 .
                                   s                                       s
                                                 1
2. Inverse Laplace Transforms
Definition
If, for a given function F (s), we can find a function f (t) such that L(f (t)) = F (s), then
f (t) is called the inverse Laplace transform of F (s). Notation: f (t) = L−1 (F (s)).
Examples
                                        
 −1  1                 −1          1               sin ω t                                         ω
L       = t.          L                        =              (hiszen L(sin ω t) =                       és L lineáris.)
     s2                         s2 + ω 2              ω                                         s2 + ω 2
We are not going to give you an explicit formula for computing the inverse Laplace
Transform of a given function of s. Instead, numerous examples will be given to show
how L−1 (F (s)) may be evaluated. It turns out that with the aide of a table and some
techniques from elementary algebra, we are able to find L−1 (F (s)) for a large number of
functions.
Our first example illustrates the usefulness of the decomposition to partial fractions:
Example
 5s2 + 3s + 1                                                      5s2 + 3s + 1
                                                                                   
                2s − 1   3
  2
(s + 1)(s + 2)
               = 2     +
                s +1 s+2
                                                   ;   L −1
                                                                  (s2 + 1)(s + 2)
                                                                                        = 2 cos t − sin t + 3e−2t .
3. Some simple properties of Laplace Transform
3.1 Transform of derivatives and integrals
If f and f0 are continuous for t > 0 such that f (t)e−st −→ 0 as t −→ ∞, then we may
integrate by parts to obtain (F (s) = L(f (t)))
                                    Z ∞
                            0
(1)                    L(f (t)) =       e−st f 0 (t) dt = sF (s) − f (0)
                                                   0
                                        Z      ∞                          ∞
                                                                                    Z       ∞
 indeed by u 0 = f 0 (t) , v = e−st :          f 0 (t)e−st dt = f (t)e−st 0 − s            f (t)e−st dt = −f (0) − sF (s)                                                                                                                          
                                           0                                            0
and applying this formula again (assuming the apropriate conditions concerning the func-
tion and it first and second derivative hold):
   L(f 00 (t)) = sL(f 0 (t)) − f 0 (0) = s(sF (s) − f (0)) − f 0 (0) = s2 F (s) − sf (0) − f 0 (0) .
Similarly (again assuming the apropriate conditions concerning the derivatives hold) we
obtain the general formula:
L(f (n) (t)) = sn F (s) − sn−1 f (0) − sn−2 f 0 (0) − . . . − sf (n−2) (0) − f (n−1) (0) .
Example
L(cos t) = L(sin 0 t) = sL(sin t) − sin 0 =               s
                                                        s2 +1
It follows from (1) that
                       1
(*) L(f (t)) = F (s) = (L(f 0 (t)) + f (0))
                       s
Example
             1                      2
L(sin2 t) = (L(sin 2t) + 0) =      2
             s                  s(s + 4)
                                                              2
Corollary                  Z t
                                            1
If f is continuous, then L(    f (τ )dτ ) = L(f (t)) .
                            0               s
                                                  Z t
(Indeed (*) can be applied to the function g(t) =     f (τ ) d τ .)
                                                       0
3.2 Transform of shifts in s and t
(a) If L(f (t)) = F (s), then L(eat f (t)) = F (s − a) for any real constant a.
Note that F (s − a) represents a shift of the function F (s) by a units to the right.
(b) The unit step function s(t) = 0 , ha t < 0 és s(t) = 1 , ha t ≥ 0 :
If a > 0 and L(f (t)) = F (s) , then L(f (t − a) · s(t − a)) = F (s)e−as .
Example
Since s2 − 2s + 10 = (s − 1)2 + 9, we have                          
    s+2            s−1              3              −1       s+2
             =              +              , ı́gy L                    = et (cos 3t + sin 3t) .
s2 − 2s + 10    (s − 1)2 + 9 (s − 1)2 + 9               s2 − 2s + 10
3.3 Transform of power multipliers
If L(f (t)) = F (s) , then
                                                      dn
                              L(tn f (t)) = (−1)n          F (s)
                                                     dsn
for any positive integer n , particularly L(tf (t)) = (−1)F 0 (s) .
3.4 Convolution
Definition
Given two functions f and g, we define, for any t > 0 ,
                                        Z t
                           (f ∗ g)(t) =     f (x)g(t − x) dx .
                                            0
The function f ∗ g is called the convolution of f and g.
Remark The convolution is commutative.
Theorem (The convolution theorem)
                              L((f ∗ g)(t)) = L(f (t)) · L(g(t)) .
In other words, if L(f (t)) = F (s) and L(g(t)) = G(s) , then L−1 (F (s)G(s)) = (f ∗ g)(t) .
                                                3
Example
                                                                                  
 −1        s             −1      s         1          −1       s          −1       1
L                    =L               ·             =L                 ∗L                  =
      (s2 + ω 2 )2            s2 + ω 2 s2 + ω 2            s2 + ω 2             s2 + ω 2
                        1 t
                          Z
             sin ω t
= cos ω t ∗          =        cos ω x sin ω(t − x) dx =
               ω       ω   0                 t
    1 1                          1              
= 2       cos(−2 ω x + ω t) + t ω sin(ω t)  =
  ω     4                        2                0
                                                    
   1 1                1                  1 1                  1
= 2       cos(ω t) + t ω sin(ω t) −            cos(ω t) =        t sin(ω t) ,
  ω     4             2                  ω 4                2ω
where in order to integrate, we have used addition formulas for the trigonometric functions.
                                                                          Z t
                        −1        1           −1    1 1
A simpler example: L                      =L                    = 1 ∗ sin t =     sin(t − x) dx =
  Z t                         s(s2 + 1)             s s2 + 1                    0
                                                 t              t
=     (sin t cos x − cos t sin x)dx = sin t sin x0 + cos t sin x0 = sin2 t + cos2 t − cos t =
    0
                                          1     s   s2 + 1 − s2       1
= 1 − cos t .   Indeed, L(1 − cos t) =      − 2   =             =           .
                                          s s +1     s(s2 + 1)    s(s2 + 1)
3.5 Laplace Transform of a periodic function
Definition
A function f is said to be periodic if there is a constant T > 0 such that f (t + T ) = f (t)
for every t . The constant T is called the period of f .
The sine and cosine functions are important examples of periodic function. One other
example is the periodic triangular wave. It is is the function defined by f (t) = t if
0 ≤ t ≤ 1 , f (t) = 2 − t if 1 ≤ t ≤ 2 and f (t + 2) = f (t) for any t .
The following proposition is useful in calculating the Laplace Transform of a periodic
function.
Proposition
Let f be a periodic function with period T and f1 is one period of the function, Then (as
usual F (s) = L(f (t))):
                                                      Z T
                                L(f1 (t))      1
                        F (s) =       −T s
                                           =     −T s
                                                          e−st f (t) dt .
                                1−e          1−e       0
Example
f (t) = 0 ha t < 0 , f (t) = t ha 0 ≤ t ≤ 1 és f (t + n) = f (t) tetszőleges n-re:
                                     1    2
                                                4
Now f1 (t) = 0 if t < 0 and t > 1 , further f1 (t) = t if 0 ≤ t < 1 , then defining
           h(t) = 0 if t < 0 and h(t) = t otherwise
           g(t) = 0 if t < 0 and g(t) = t + 1 otherwise,
we have f1 (t) = h(t) − g(t − 1) :
                               h(t)
                                 1       2
                               g(t−1)
                                 1       2
                         1
                               f 1 (t)
                                 1       2
                                                                                1 − e−s − s e−s
                                                                       
                                                   1          1     1
Therefore, L(f1 (t)) = L(h(t)) − L(g(t − 1)) = 2 − e−s          2
                                                                  +         =                   ,
                                                   s          s     s                 s2
                                     −s       −s
                   L(f1 (t))   1 − e − se
that is L(f (t)) =       −s
                             =                   .
                   1−e           s2 (1 − e−s )