Aufgaben:Exercise 3.6Z: Two Imaginary Poles: Difference between revisions

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[[File:P_ID1786__LZI_Z_3_6.png|right|frame|Two imaginary poles <br>and one zero ]]
[[File:P_ID1786__LZI_Z_3_6.png|right|frame|Two imaginary poles <br>and one zero ]]
In this exercise,&nbsp; we consider a causal signal &nbsp;$x(t)$&nbsp; with the Laplace transform
In this exercise,&nbsp; we consider a causal signal &nbsp;$x(t)$&nbsp; with the Laplace transform
:$$X_{\rm L}(p) =
:$$X_{\rm L}(p) =\frac { p} { p^2 + 4 \pi^2}=\frac { p} { (p-{\rm j} \cdot 2\pi)(p+{\rm j} \cdot 2\pi)}\hspace{0.05cm}$$
\frac { p} { p^2 + 4 \pi^2}=
\frac { p} { (p-{\rm j} \cdot 2\pi)(p+{\rm j} \cdot 2\pi)}
\hspace{0.05cm}$$
corresponding to the graph&nbsp; (one red zero and two green poles).  
corresponding to the graph&nbsp; (one red zero and two green poles).  


*In contrast,&nbsp; the signal &nbsp;$y(t)$&nbsp; has the Laplace spectral function
*In contrast,&nbsp; the signal &nbsp;$y(t)$&nbsp; has the Laplace spectral function
:$$Y_{\rm L}(p) =
:$$Y_{\rm L}(p) =\frac { 1} { p^2 + 4 \pi^2}\hspace{0.05cm}.$$
\frac { 1} { p^2 + 4 \pi^2}
\hspace{0.05cm}.$$
:Thus,&nbsp; the red zero does not belong to &nbsp;$Y_{\rm L}(p)$.
:Thus,&nbsp; the red zero does not belong to &nbsp;$Y_{\rm L}(p)$.


*Finally, the signal &nbsp;$z(t)$&nbsp; with the Laplace tansform
*Finally, the signal &nbsp;$z(t)$&nbsp; with the Laplace tansform
:$$Z_{\rm L}(p) =
:$$Z_{\rm L}(p) =\frac { p} { (p-{\rm j} \cdot \beta)(p+{\rm j} \cdot \beta)}\hspace{0.05cm}$$
\frac { p} { (p-{\rm j} \cdot \beta)(p+{\rm j} \cdot \beta)}
\hspace{0.05cm}$$
:is considered, in particular the limiting case for &nbsp;$\beta &#8594; 0$.
:is considered, in particular the limiting case for &nbsp;$\beta &#8594; 0$.


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*A result &nbsp;$t = 1$&nbsp; is thus to be interpreted as &nbsp;$t = T$&nbsp; with &nbsp;$T = 1 \ \rm &micro; s$&nbsp;.  
*A result &nbsp;$t = 1$&nbsp; is thus to be interpreted as &nbsp;$t = T$&nbsp; with &nbsp;$T = 1 \ \rm &micro; s$&nbsp;.  
*The &nbsp;[[Linear_and_Time_Invariant_Systems/Inverse_Laplace_Transform#Formulation_of_the_residue_theorem|residue theorem]]&nbsp; is as follows using the example of the function &nbsp;$X_{\rm L}(p)$&nbsp; with two simple poles at &nbsp;$ \pm {\rm j} \cdot \beta$:
*The &nbsp;[[Linear_and_Time_Invariant_Systems/Inverse_Laplace_Transform#Formulation_of_the_residue_theorem|residue theorem]]&nbsp; is as follows using the example of the function &nbsp;$X_{\rm L}(p)$&nbsp; with two simple poles at &nbsp;$ \pm {\rm j} \cdot \beta$:
:$$x(t)  =  X_{\rm L}(p) \cdot (p - {\rm j} \cdot \beta) \cdot  {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot  
:$$x(t)  =  X_{\rm L}(p) \cdot (p - {\rm j} \cdot \beta) \cdot  {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot\hspace{0.05cm}t}  \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it\beta}}+X_{\rm L}(p) \cdot (p + {\rm j} \cdot \beta) \cdot  {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot\hspace{0.05cm}t}  \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{-\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it\beta}}\hspace{0.05cm}.$$
\hspace{0.05cm}t}  \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it
\beta}}+X_{\rm L}(p) \cdot (p + {\rm j} \cdot \beta) \cdot  {\rm e}^{\hspace{0.03cm}p
\hspace{0.05cm} \cdot\hspace{0.05cm}t}  \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{-\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it
\beta}}
\hspace{0.05cm}.$$




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'''(1)'''&nbsp; The&nbsp; <u>suggested solutions 1, 3 and 4</u>&nbsp; are correct:
'''(1)'''&nbsp; The&nbsp; <u>suggested solutions 1, 3 and 4</u>&nbsp; are correct:
*The following is obtained for signal&nbsp; $x(t)$&nbsp; for positive times by applying the residue theorem:
*The following is obtained for signal&nbsp; $x(t)$&nbsp; for positive times by applying the residue theorem:
:$$x_1(t)\hspace{0.25cm} =  \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}1}}
:$$x_1(t)\hspace{0.25cm} =  \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}1}}\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm}t}\}=\frac {p} { p+{\rm j} \cdot 2\pi}\cdot  {\rm e}^{\hspace{0.05cm}p\hspace{0.05cm}\cdot \hspace{0.05cm}t}\bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=\frac{1}{2} \cdot {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}\hspace{0.05cm} ,$$
\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm}t}\}=
:$$ x_2(t)\hspace{0.25cm} =  \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}2}}\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm} t}\}=\frac {p} { p-{\rm j} \cdot 2\pi}\cdot  {\rm e}^{\hspace{0.05cm}p\hspace{0.05cm}\cdot \hspace{0.05cm}t}\bigg |_{p \hspace{0.05cm}= -{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=\frac{1}{2} \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}\hspace{0.05cm} .$$:$$\Rightarrow  \hspace{0.3cm} x(t) = x_1(t) + x_2(t) ={1}/{2} \cdot \left [ {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pit}+{\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pit}\right ] = \cos(2\pi t)\hspace{0.05cm} .$$
\frac {p} { p+{\rm j} \cdot 2\pi}\cdot  {\rm e}^{\hspace{0.05cm}p
\hspace{0.05cm}\cdot \hspace{0.05cm}t}
\bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=
\frac{1}{2} \cdot {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}\hspace{0.05cm} ,$$
:$$ x_2(t)\hspace{0.25cm} =  \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}2}}
\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm} t}\}=
\frac {p} { p-{\rm j} \cdot 2\pi}\cdot  {\rm e}^{\hspace{0.05cm}p
\hspace{0.05cm}\cdot \hspace{0.05cm}t}
\bigg |_{p \hspace{0.05cm}= -{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=
\frac{1}{2} \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}
\hspace{0.05cm} .$$
:$$\Rightarrow  \hspace{0.3cm} x(t) = x_1(t) + x_2(t) =
{1}/{2} \cdot \left [ {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi
t}+{\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi
t}\right ] = \cos(2\pi t)
\hspace{0.05cm} .$$




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*However,&nbsp; the integration theorem can also be used.  
*However,&nbsp; the integration theorem can also be used.  
*This says among other things that multiplication by&nbsp; $1/p$&nbsp; in the spectral domain corresponds to integration in the time domain:
*This says among other things that multiplication by&nbsp; $1/p$&nbsp; in the spectral domain corresponds to integration in the time domain:
:$$Y_{\rm L}(p) = {1}/{p} \cdot X_{\rm L}(p) \hspace{0.3cm} \Rightarrow  \hspace{0.3cm} t \ge 0:\quad y(t) = \int_{-\infty}^t \cos(2\pi
:$$Y_{\rm L}(p) = {1}/{p} \cdot X_{\rm L}(p) \hspace{0.3cm} \Rightarrow  \hspace{0.3cm} t \ge 0:\quad y(t) = \int_{-\infty}^t \cos(2\pi\tau)\,\,{\rm d}\tau = {1}/({2\pi}) \cdot \sin(2\pi t)\hspace{0.05cm} .$$
\tau)\,\,{\rm d}\tau = {1}/({2\pi}) \cdot \sin(2\pi t)
\hspace{0.05cm} .$$


Please note:&nbsp; The causal cosine signal&nbsp; $x(t)$&nbsp; and the causal sine signal&nbsp; $y(t)$&nbsp; are shown on the information page of&nbsp; [[Aufgaben:Exercise_3.6:_Transient_Behavior|Exercise 3.6]]&nbsp; as&nbsp; $c_{\rm K}(t)$&nbsp; and&nbsp; $s_{\rm K}(t)$,&nbsp; respectively.
Please note:&nbsp; The causal cosine signal&nbsp; $x(t)$&nbsp; and the causal sine signal&nbsp; $y(t)$&nbsp; are shown on the information page of&nbsp; [[Aufgaben:Exercise_3.6:_Transient_Behavior|Exercise 3.6]]&nbsp; as&nbsp; $c_{\rm K}(t)$&nbsp; and&nbsp; $s_{\rm K}(t)$,&nbsp; respectively.
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*The limit process for &nbsp;$\beta &#8594; 0$&nbsp; thus results in the step function &nbsp;$\gamma(t)$.  
*The limit process for &nbsp;$\beta &#8594; 0$&nbsp; thus results in the step function &nbsp;$\gamma(t)$.  
*The same result is obtained by consideration in the spectral domain:
*The same result is obtained by consideration in the spectral domain:
:$$Z_{\rm L}(p) = \lim_{\beta \hspace{0.05cm} \rightarrow \hspace{0.05cm} 0}\hspace{0.1cm}\frac{p}{p^2 + \beta^2} = {1}/{p}
:$$Z_{\rm L}(p) = \lim_{\beta \hspace{0.05cm} \rightarrow \hspace{0.05cm} 0}\hspace{0.1cm}\frac{p}{p^2 + \beta^2} = {1}/{p}\hspace{0.3cm} \Rightarrow  \hspace{0.3cm}z(t) = \gamma(t)\hspace{0.05cm} .$$
\hspace{0.3cm} \Rightarrow  \hspace{0.3cm}
  z(t) = \gamma(t)
\hspace{0.05cm} .$$
{{ML-Fuß}}
{{ML-Fuß}}


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[[Category:Linear and Time-Invariant Systems: Exercises|^3.3 Inverse Laplace Transform^]]
[[Category:Linear and Time-Invariant Systems: Exercises|^3.3 Inverse Laplace Transform^]]
[[de:Aufgaben:Aufgabe 3.6Z: Zwei imaginäre Pole]]

Latest revision as of 17:55, 16 March 2026

Two imaginary poles
and one zero

In this exercise,  we consider a causal signal  $x(t)$  with the Laplace transform

$$X_{\rm L}(p) =\frac { p} { p^2 + 4 \pi^2}=\frac { p} { (p-{\rm j} \cdot 2\pi)(p+{\rm j} \cdot 2\pi)}\hspace{0.05cm}$$

corresponding to the graph  (one red zero and two green poles).

  • In contrast,  the signal  $y(t)$  has the Laplace spectral function
$$Y_{\rm L}(p) =\frac { 1} { p^2 + 4 \pi^2}\hspace{0.05cm}.$$
Thus,  the red zero does not belong to  $Y_{\rm L}(p)$.
  • Finally, the signal  $z(t)$  with the Laplace tansform
$$Z_{\rm L}(p) =\frac { p} { (p-{\rm j} \cdot \beta)(p+{\rm j} \cdot \beta)}\hspace{0.05cm}$$
is considered, in particular the limiting case for  $\beta → 0$.



Please note:

  • The exercise belongs to the chapter  Inverse Laplace Transform.
  • The frequency variable  $p$   is normalized such that time  $t$  is in microseconds after applying the residue theorem.
  • A result  $t = 1$  is thus to be interpreted as  $t = T$  with  $T = 1 \ \rm µ s$ .
  • The  residue theorem  is as follows using the example of the function  $X_{\rm L}(p)$  with two simple poles at  $ \pm {\rm j} \cdot \beta$:
$$x(t) = X_{\rm L}(p) \cdot (p - {\rm j} \cdot \beta) \cdot {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot\hspace{0.05cm}t} \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it\beta}}+X_{\rm L}(p) \cdot (p + {\rm j} \cdot \beta) \cdot {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot\hspace{0.05cm}t} \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{-\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it\beta}}\hspace{0.05cm}.$$


Questions

1 Compute the signal  $x(t)$.  Which of the following statements are correct?

$x(t)$  is a causal cosine signal.
$x(t)$  is a causal sinusoidal signal.
The amplitude of  $x(t)$  is  $1$.
The period of  $x(t)$  is  $T = 1 \ \rm µ s$.

2 Compute the signal  $y(t)$. Which of the following statements are correct?

$y(t)$  is a causal cosine signal.
$y(t)$  is a causal sinusoidal signal.
The amplitude of  $y(t)$  is  $1$.
The period of  $y(t)$  is  $T = 1 \ \rm µ s$.

3 Which statements are true for the signal  $z(t)$ ?

For  $ \beta > 0$,   $z(t)$  is cosine-shaped.
For  $ \beta > 0$,   $z(t)$  is sinusoidal.
The limiting case  $\beta → 0$  results in the step function  $\gamma(t)$.


Solution

(1)  The  suggested solutions 1, 3 and 4  are correct:

  • The following is obtained for signal  $x(t)$  for positive times by applying the residue theorem:
$$x_1(t)\hspace{0.25cm} = \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}1}}\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm}t}\}=\frac {p} { p+{\rm j} \cdot 2\pi}\cdot {\rm e}^{\hspace{0.05cm}p\hspace{0.05cm}\cdot \hspace{0.05cm}t}\bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=\frac{1}{2} \cdot {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}\hspace{0.05cm} ,$$
$$ x_2(t)\hspace{0.25cm} = \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}2}}\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm} t}\}=\frac {p} { p-{\rm j} \cdot 2\pi}\cdot {\rm e}^{\hspace{0.05cm}p\hspace{0.05cm}\cdot \hspace{0.05cm}t}\bigg |_{p \hspace{0.05cm}= -{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=\frac{1}{2} \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}\hspace{0.05cm} .$$:$$\Rightarrow \hspace{0.3cm} x(t) = x_1(t) + x_2(t) ={1}/{2} \cdot \left [ {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pit}+{\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pit}\right ] = \cos(2\pi t)\hspace{0.05cm} .$$


(2)  The  suggested solutions 2 and 4  are correct:

  • In principle,  this subtask could be solved in the same way as subtask  (1).
  • However,  the integration theorem can also be used.
  • This says among other things that multiplication by  $1/p$  in the spectral domain corresponds to integration in the time domain:
$$Y_{\rm L}(p) = {1}/{p} \cdot X_{\rm L}(p) \hspace{0.3cm} \Rightarrow \hspace{0.3cm} t \ge 0:\quad y(t) = \int_{-\infty}^t \cos(2\pi\tau)\,\,{\rm d}\tau = {1}/({2\pi}) \cdot \sin(2\pi t)\hspace{0.05cm} .$$

Please note:  The causal cosine signal  $x(t)$  and the causal sine signal  $y(t)$  are shown on the information page of  Exercise 3.6  as  $c_{\rm K}(t)$  and  $s_{\rm K}(t)$,  respectively.


(3)  The  suggested solutions 1 and 3  are correct:

  • A comparison with the computation of  $x(t)$  shows that  $z(t) = \cos (\beta \cdot t)$  holds for  $t \ge 0$  and  $z(t) = 0$  for  $t < 0$.
  • The limit process for  $\beta → 0$  thus results in the step function  $\gamma(t)$.
  • The same result is obtained by consideration in the spectral domain:
$$Z_{\rm L}(p) = \lim_{\beta \hspace{0.05cm} \rightarrow \hspace{0.05cm} 0}\hspace{0.1cm}\frac{p}{p^2 + \beta^2} = {1}/{p}\hspace{0.3cm} \Rightarrow \hspace{0.3cm}z(t) = \gamma(t)\hspace{0.05cm} .$$