Page 133 - Schaum's Outline of Theory and Problems of Signals and Systems
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122         LAPLACE TRANSFORM AND CONTINUOUS-TIME LTI SYSTEMS                  [CHAP. 3



            I.  Causality:
                 For a causal continuous-time LTI system, we have

                                               h(t) = 0       t<O

              Since h(t) is a right-sided signal, the corresponding requirement on H(s) is that the ROC
              of  H(s) must be of  the form


                                                   ReW > amax
              That  is,  the  ROC is  the  region  in  the  s-plane  to  the  right  of  all  of  the  system  poles.
              Similarly, if  the system is anticausal, then
                                               h(t) = 0       t>O

              and  h(t) is left-sided. Thus, the ROC of  H(s) must be of the form

                                                   Re(  s ) < %in
              That is, the ROC is the region  in the s-plane to the left of  all of  the system poles.
            2.  Stabilio:

                 In Sec. 2.3 we stated that  a continuous-time  LTI system  is BIB0 stable if  and only if
              [Eq. (2-2111






              The corresponding requirement  on  H(s) is  that  the  ROC of  H(s) contains the jw-axis
              (that is, s = jw) (Prob. 3.26).
            3.  Causal and Stable Systems:

                 If  the system is both causal and stable, then all  the poles of  H(s) must  lie in  the left
              half  of  the  s-plane;  that  is,  they  all have  negative  real  parts because  the  ROC is  of  the
              form Re(s) >amax, and since the jo  axis is included in the ROC, we must  have  a,,  < 0.


            C.  System Function for LTI Systems Described by Linear Constant-Coefficient Differential
                Equations:
                 In  Sec.  2.5  we  considered  a  continuous-time  LTI  system  for  which  input  x(t) and
              output  y(t) satisfy the general linear constant-coefficient  differential equation of  the form





              Applying  the  Laplace  transform  and  using  the  differentiation  property  (3.20)  of  the
              Laplace transform, we obtain
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