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, we consider a causal signal $x(t)$ with the Laplace transform | In this exercise, we consider a causal signal $x(t)$ 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}$$ | ||
corresponding to the graph (one red zero and two green poles). | corresponding to the graph (one red zero and two green poles). | ||
*In contrast, the signal $y(t)$ has the Laplace spectral function | *In contrast, the signal $y(t)$ has the Laplace spectral function | ||
:$$Y_{\rm L}(p) = | :$$Y_{\rm L}(p) =\frac { 1} { p^2 + 4 \pi^2}\hspace{0.05cm}.$$ | ||
:Thus, the red zero does not belong to $Y_{\rm L}(p)$. | :Thus, the red zero does not belong to $Y_{\rm L}(p)$. | ||
*Finally, the signal $z(t)$ with the Laplace tansform | *Finally, the signal $z(t)$ 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}$$ | ||
:is considered, in particular the limiting case for $\beta → 0$. | :is considered, in particular the limiting case for $\beta → 0$. | ||
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*A result $t = 1$ is thus to be interpreted as $t = T$ with $T = 1 \ \rm µ s$ . | *A result $t = 1$ is thus to be interpreted as $t = T$ with $T = 1 \ \rm µ s$ . | ||
*The [[Linear_and_Time_Invariant_Systems/Inverse_Laplace_Transform#Formulation_of_the_residue_theorem|residue theorem]] is as follows using the example of the function $X_{\rm L}(p)$ with two simple poles at $ \pm {\rm j} \cdot \beta$: | *The [[Linear_and_Time_Invariant_Systems/Inverse_Laplace_Transform#Formulation_of_the_residue_theorem|residue theorem]] is as follows using the example of the function $X_{\rm L}(p)$ with two simple poles at $ \pm {\rm j} \cdot \beta$: | ||
:$$x(t) = X_{\rm L}(p) \cdot (p - {\rm j} \cdot \beta) \cdot {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot | :$$x(t) = X_{\rm L}(p) \cdot (p - {\rm j} \cdot \beta) \cdot {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot\hspace{0.05cm}t} \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it\beta}}+X_{\rm L}(p) \cdot (p + {\rm j} \cdot \beta) \cdot {\rm e}^{\hspace{0.03cm}p\hspace{0.05cm} \cdot\hspace{0.05cm}t} \Bigg |_{\hspace{0.1cm} p\hspace{0.05cm}=\hspace{0.05cm}{-\rm j \hspace{0.05cm} \cdot\hspace{0.05cm} \it\beta}}\hspace{0.05cm}.$$ | ||
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'''(1)''' The <u>suggested solutions 1, 3 and 4</u> are correct: | '''(1)''' The <u>suggested solutions 1, 3 and 4</u> are correct: | ||
*The following is obtained for signal $x(t)$ for positive times by applying the residue theorem: | *The following is obtained for signal $x(t)$ for positive times by applying the residue theorem: | ||
:$$x_1(t)\hspace{0.25cm} = \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}1}} | :$$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}} | :$$ x_2(t)\hspace{0.25cm} = \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}2}} | ||
\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm} t}\}= | \hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm} t}\}= | ||
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\bigg |_{p \hspace{0.05cm}= -{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}= | \bigg |_{p \hspace{0.05cm}= -{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}= | ||
\frac{1}{2} \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t} | \frac{1}{2} \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t} | ||
\hspace{0.05cm} .$$ | \hspace{0.05cm} .$$:$$\Rightarrow \hspace{0.3cm} x(t) = x_1(t) + x_2(t) = | ||
:$$\Rightarrow \hspace{0.3cm} x(t) = x_1(t) + x_2(t) = | |||
{1}/{2} \cdot \left [ {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi | {1}/{2} \cdot \left [ {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi | ||
t}+{\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi | t}+{\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi | ||
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*However, the integration theorem can also be used. | *However, the integration theorem can also be used. | ||
*This says among other things that multiplication by $1/p$ in the spectral domain corresponds to integration in the time domain: | *This says among other things that multiplication by $1/p$ in the spectral domain corresponds to integration in the time domain: | ||
:$$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 | :$$Y_{\rm L}(p) = {1}/{p} \cdot X_{\rm L}(p) \hspace{0.3cm} \Rightarrow \hspace{0.3cm} t \ge 0:\quad y(t) = \int_{-\infty}^t \cos(2\pi\tau)\,\,{\rm d}\tau = {1}/({2\pi}) \cdot \sin(2\pi t)\hspace{0.05cm} .$$ | ||
Please note: The causal cosine signal $x(t)$ and the causal sine signal $y(t)$ are shown on the information page of [[Aufgaben:Exercise_3.6:_Transient_Behavior|Exercise 3.6]] as $c_{\rm K}(t)$ and $s_{\rm K}(t)$, respectively. | Please note: The causal cosine signal $x(t)$ and the causal sine signal $y(t)$ are shown on the information page of [[Aufgaben:Exercise_3.6:_Transient_Behavior|Exercise 3.6]] as $c_{\rm K}(t)$ and $s_{\rm K}(t)$, respectively. | ||
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*The limit process for $\beta → 0$ thus results in the step function $\gamma(t)$. | *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: | *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} .$$ | ||
{{ML-Fuß}} | {{ML-Fuß}} | ||
Revision as of 15:48, 16 March 2026

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
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:
- $$x_1(t)\hspace{0.25cm} = \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}1}}\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm}t}\}=\frac {p} { p+{\rm j} \cdot 2\pi}\cdot {\rm e}^{\hspace{0.05cm}p\hspace{0.05cm}\cdot \hspace{0.05cm}t}\bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=\frac{1}{2} \cdot {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}\hspace{0.05cm} ,$$
- $$ x_2(t)\hspace{0.25cm} = \hspace{0.2cm} {\rm Res} \bigg |_{p \hspace{0.05cm}= \hspace{0.05cm}p_{{\rm x}2}}
\hspace{0.7cm}\{X_{\rm L}(p)\cdot {\rm e}^{\hspace{0.05cm}p \hspace{0.05cm}\cdot \hspace{0.05cm} t}\}=
\frac {p} { p-{\rm j} \cdot 2\pi}\cdot {\rm e}^{\hspace{0.05cm}p
\hspace{0.05cm}\cdot \hspace{0.05cm}t}
\bigg |_{p \hspace{0.05cm}= -{\rm j} \hspace{0.05cm}\cdot \hspace{0.05cm}2\pi}=
\frac{1}{2} \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi t}
\hspace{0.05cm} .$$:$$\Rightarrow \hspace{0.3cm} x(t) = x_1(t) + x_2(t) =
{1}/{2} \cdot \left [ {\rm e}^{\hspace{0.05cm}{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi
t}+{\rm e}^{-{\rm j} \hspace{0.05cm} \cdot \hspace{0.05cm}2\pi
t}\right ] = \cos(2\pi t)
\hspace{0.05cm} .$$
(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:
- $$Z_{\rm L}(p) = \lim_{\beta \hspace{0.05cm} \rightarrow \hspace{0.05cm} 0}\hspace{0.1cm}\frac{p}{p^2 + \beta^2} = {1}/{p}\hspace{0.3cm} \Rightarrow \hspace{0.3cm}z(t) = \gamma(t)\hspace{0.05cm} .$$