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A 3 , 1 = d d s X ( s ) ( s + 5 ) 2 s = - 5 = d d s s + 2 ( s + 1 ) ( s + 3 ) s = - 5 = ( s 2 + 4 s + 3 ) - ( s + 2 ) ( 2 s + 4 ) ( s 2 + 4 s + 3 ) 2 s = - 5 = - 5 32

Alternately, A 3 , 1 can be computed by substituting the values obtained for A 1 , A 2 and A 3 , 2 back into [link] and then substituting an arbitrary value for s that does not equal one of the poles as indicated earlier, like s = 0 . This leads to a simple equation whose only unknown is A 3 , 1 . The partial fraction of X ( s ) is then given by:

X ( s ) = s + 2 ( s + 1 ) ( s + 3 ) ( s + 5 ) 2 = 1 32 s + 1 + 1 8 s + 3 - 5 32 s + 5 - 3 8 ( s + 5 ) 2

Applying the inverse Laplace transform to each of the individual terms in [link] and using linearity gives:

x ( t ) = 1 32 e - t u ( t ) + 1 8 e - 3 t u ( t ) - 5 32 e - 5 t u ( t ) - 3 8 t e - 5 t u ( t )

The following example looks at a case where X ( s ) is a rational function, but is not proper .

Example 3.7 Find the inverse Laplace transform of

X ( s ) = s 2 + 6 s + 1 s 2 + 5 s + 6

Here since q = p = 2 , we cannot perform a partial fraction expansion. First we must perform a long division, this leads to:

X ( s ) = 1 + s - 5 s 2 + 5 s + 6 = 1 + s - 5 ( s + 2 ) ( s + 3 )

where s - 5 is the remainder resulting from the long division. The quotient of 1 is called a direct term . In general, the direct term corresponds to a polynomial in s . The partial fraction expansion is performed on the quotient term, which is always proper:

s - 5 ( s + 2 ) ( s + 3 ) = A 1 s + 2 + A 2 s + 3

Using [link] gives

A 1 = s - 5 s + 3 s = - 2 = - 7
A 2 = s - 5 s + 2 s = - 3 = 8

So we have

X ( s ) = 1 - 7 s + 2 + 8 s + 3

and

x ( t ) = δ ( t ) - 7 e - 2 t u ( t ) + 8 e - 3 t u ( t )

Complex conjugate poles:

Some poles occur in complex conjugate pairs as in the following example:

Example 3.8 Find the output of a filter whose impulse response is h ( t ) = e - 5 t u ( t ) and whose input is given by x ( t ) = cos ( 2 t ) u ( t ) . Since the output is given by y ( t ) = x ( t ) * h ( t ) , its Laplace transform is Y ( s ) = X ( s ) H ( s ) . Therefore using the table of Laplace transform pairs we have

X ( s ) = s s 2 + 4

and

H ( s ) = 1 s + 5

which leads to

Y ( s ) = s ( s 2 + 4 ) ( s + 5 ) = s ( s + j 2 ) ( s - j 2 ) ( s + 5 ) = A 1 s + j 2 + A 2 s - j 2 + A 3 s + 5

The poles are at s = j 2 , - j 2 and -5, all of which are distinct, so equation [link] applies:

A 1 = Y ( s ) ( s + j 2 ) s = - j 2 = s ( s - j 2 ) ( s + 5 ) s = - j 2 = - j 2 - j 4 ( 5 - j 2 ) = 5 + j 2 58

The second coefficient is

A 2 = Y ( s ) ( s - j 2 ) s = j 2 = 5 - j 2 58

The calculations for A 2 where omitted but it is easy to see that A 2 will be the complex conjugate of A 1 since all of the terms in A 2 are the complex conjugates of those in A 1 . Therefore, when there are a pair of complex conjugate poles, we need only calculate one of the two coefficients and the other will be its complex conjugate. The last coefficient corresponding to the pole at s = - 5 is found using

A 3 = Y ( s ) ( s + 5 ) s = - 5 = s ( s 2 + 4 ) s = - 5 = - 5 29

This gives

Y ( s ) = 5 + j 2 58 s + j 2 + 5 - j 2 58 s - j 2 - 5 29 s + 5

We can now easily find the inverse Laplace transform of each individual term in the right-hand side of [link] :

y ( t ) = 5 + j 2 58 e - j 2 t u ( t ) + 5 - j 2 58 e j 2 t u ( t ) - 5 29 e - 5 t u ( t )

At this point, we are technically done, however the first two terms in y ( t ) are complex and also happen to be complex conjugates of each other. So we can simplify further by noting that

5 + j 2 58 e - j 2 t u ( t ) + 5 - j 2 58 e j 2 t u ( t ) = 2 Re 5 - j 2 58 e j 2 t u ( t ) = 2 Re 0 . 0928 e - j 0 . 3805 e j 2 t u ( t ) = 0 . 1857 cos ( 2 t - 0 . 3805 ) u ( t )

The simplified answer is given by

y ( t ) = 0 . 1857 cos ( 2 t - 0 . 3805 ) u ( t ) - 0 . 1724 e - 5 t u ( t )

We note that the answer contains a transient term, - 0 . 1724 e - 10 t u ( t ) , and a steady-state term 0 . 1857 cos ( 2 t - 0 . 3805 ) . The steady-state term corresponds to the sinusoidal steady-state response of the filter (see Chapter 3). It can be readily seen that the frequency response of the filter is

H ( j Ω ) = 1 5 + j Ω

and therefore H ( j 2 ) = 0 . 1857 and H ( j 2 ) = - 0 . 3805 .

While the above example provides some insight into the sinusoidal steady-state response, the number of complex arithmetic calculations can be tedious. We repeat the example using an alternative expansion involving complex conjugate poles:

1 s 2 + b s + c = A 1 s + A 2 s 2 + b s + c

where it has been assumed that b 2 - 4 c < 0 (otherwise, we have distinct or repeated real poles). As mentioned above, the expansion in [link] can be combined with expansions for distinct or repeated poles.

Example 3.9

Y ( s ) = s ( s 2 + 4 ) ( s + 5 ) = A 1 s + A 2 ( s 2 + 4 ) + A 3 s + 5

Using the cover up method gives

A 3 = s s 2 + 4 s = - 5 = - 5 29

Clearing fractions in [link] gives:

s = ( A 1 s + A 2 ) ( s + 5 ) - 5 29 ( s 2 + 4 )

Setting s = 0 in [link] gives A 2 = 4 29 . Substituting this value back into [link] and setting s = 1 leads to A 1 = 5 29 . The resulting Laplace transform is:

Y ( s ) = 5 29 s + 4 29 ( s 2 + 4 ) - 5 29 s + 5

Using the table of Laplace transforms then leads to

y ( t ) = 5 29 cos ( 2 t ) u ( t ) + 2 29 sin ( 2 t ) u ( t ) - 5 29 e - 5 t u ( t )

Comparing this answer with [link] , we see that the sum of a cosine and a sine having the same frequency is equal to a cosine at the same frequency having a certain phase shift and amplitude. In fact, it can be shown that

a cos ( Ω o t ) + b sin ( Ω o t ) = r cos ( Ω o t - φ )

with r = a 2 + b 2 and φ = arctan b a . The following example also involves complex conjugate poles and illustrates some additional tricks to solving the partial fraction expansion.

Example 3.10 Find the output of a filter whose input has Laplace transform X ( s ) = 1 s and whose system function is given by

H ( s ) = 1 s 2 + 2 s + 3

Multiplying X ( s ) and H ( s ) gives

Y ( s ) = 1 s ( s 2 + 2 s + 3 ) = A 1 s + A 2 s + A 3 s 2 + 2 s + 3

Clearing fractions gives:

1 = A 1 ( s 2 + 2 s + 3 ) + s ( A 2 s + A 3 ) = ( A 1 + A 2 ) s 2 + ( 2 A 1 + A 3 ) s + 3 A 1

Setting s = 0 leads to a quick solution for A 1 , however two subsequent substitutions are needed to find A 2 and A 3 . A slightly faster way of solving for the coefficients in [link] is to rearrange the right hand side in terms of different powers of s (see second line). Then equate the coefficients of like powers of s on both sides of the equation to solve for the coefficients. For example equating the constant terms leads to 1 = 3 A 1 which gives A 1 = 1 3 . The coefficients of s on either side of the equation are related by 0 = 2 A 1 + A 3 which leads to A 3 = - 2 3 . Similarly, equating the coefficients of s 2 gives 0 = A 1 + A 2 which leads to A 2 = - 1 3 . So we have:

Y ( s ) = 1 3 s - 1 3 s + 2 3 s 2 + 2 s + 3

The second term in Y ( s ) does not appear in most Laplace transform tables, however, we can complete the square of s 2 + 2 s + 3 by taking one-half the coefficient of s , squaring it, then adding and subtracting it to give:

s 2 + 2 s + 3 + 1 - 1 = ( s + 1 ) 2 + 2

After a bit more massaging we get

Y ( s ) = 1 3 s - 1 3 ( s + 1 ) ( s + 1 ) 2 + 2 - 1 3 ( s + 1 ) 2 + 2

whose inverse Laplace transform is readily found from the table of Laplace transforms as

y ( t ) = 1 3 u ( t ) - 1 3 e - t cos ( 2 t ) u ( t ) - 1 3 2 e - t sin ( 2 t ) u ( t )

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Source:  OpenStax, Signals, systems, and society. OpenStax CNX. Oct 07, 2012 Download for free at http://cnx.org/content/col10965/1.15
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