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30. Find a different factorization of the A in Exercise 29 i.e., \(A = \left( {\begin{aligned}{*{20}{c}}{{{\bf{4}} \mathord{\left/

{\vphantom {{\bf{4}} {\bf{3}}}} \right.

\kern-\nulldelimiterspace} {\bf{3}}}}&{ - {\bf{12}}}\\{{{ - {\bf{1}}} \mathord{\left/

{\vphantom {{ - {\bf{1}}} {\bf{4}}}} \right.

\kern-\nulldelimiterspace} {\bf{4}}}}&{\bf{3}}\end{aligned}} \right)\), and thereby design a different ladder network whose transfer matrix is A.

Short Answer

Expert verified

The different factorization of A in Exercise 29 is

\(A = \left( {\begin{aligned}{*{20}{c}}1&{ - {4 \mathord{\left/

{\vphantom {4 3}} \right.

\kern-\nulldelimiterspace} 3}}\\0&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&0\\{ - {1 \mathord{\left/

{\vphantom {1 4}} \right.

\kern-\nulldelimiterspace} 4}}&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&{ - 8}\\0&1\end{aligned}} \right)\).

Thus, the ladder network, whose transfer matrix is A, is

Step by step solution

01

Design a ladder network

Construct a ladder network that is different from the network in Exercise 29.

02

Write the transfer matrices

Here, the first circuit is the series circuit with resistance \({R_1}\) , the second circuit is the shunt circuit with resistance \({R_2}\), and the last circuit is the series circuit with resistance \({R_3}\) , whose transfer matrices are \(\left( {\begin{aligned}{*{20}{c}}1&{ - {R_1}}\\0&1\end{aligned}} \right),\left( {\begin{aligned}{*{20}{c}}1&0\\{ - {1 \mathord{\left/

{\vphantom {1 {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&1\end{aligned}} \right)\), and \(\left( {\begin{aligned}{*{20}{c}}1&{ - {R_3}}\\0&1\end{aligned}} \right)\), respectively.

03

Find the transfer matrix for the above ladder network

The transfer matrix for the ladder network is given by in the reverse order.

\(\begin{aligned}{c}\left( {\begin{aligned}{*{20}{c}}1&{ - {R_3}}\\0&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&0\\{ - {1 \mathord{\left/

{\vphantom {1 {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&{ - {R_1}}\\0&1\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}{1 + {{{R_3}} \mathord{\left/

{\vphantom {{{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{ - {R_3}}\\{ - {1 \mathord{\left/

{\vphantom {1 {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&{ - {R_1}}\\0&1\end{aligned}} \right)\\ = \left( {\begin{aligned}{*{20}{c}}{1 + {{{R_3}} \mathord{\left/

{\vphantom {{{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{ - {R_1} - {{{R_1}{R_3}} \mathord{\left/

{\vphantom {{{R_1}{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} - {R_3}}\\{ - {1 \mathord{\left/

{\vphantom {1 {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{{{{R_1}} \mathord{\left/

{\vphantom {{{R_1}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} + 1}\end{aligned}} \right)\end{aligned}\)

04

Set matrix A, which is equal to the transfer matrix in step 2

\(\begin{aligned}{c}\left( {\begin{aligned}{*{20}{c}}{1 + {{{R_3}} \mathord{\left/

{\vphantom {{{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{ - {R_1} - {{{R_1}{R_3}} \mathord{\left/

{\vphantom {{{R_1}{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} - {R_3}}\\{ - {1 \mathord{\left/

{\vphantom {1 {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{{{{R_1}} \mathord{\left/

{\vphantom {{{R_1}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} + 1}\end{aligned}} \right) = A\\\left( {\begin{aligned}{*{20}{c}}{1 + {{{R_3}} \mathord{\left/

{\vphantom {{{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{ - {R_1} - {{{R_1}{R_3}} \mathord{\left/

{\vphantom {{{R_1}{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} - {R_3}}\\{ - {1 \mathord{\left/

{\vphantom {1 {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}}}&{{{{R_1}} \mathord{\left/

{\vphantom {{{R_1}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} + 1}\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}{{4 \mathord{\left/

{\vphantom {4 3}} \right.

\kern-\nulldelimiterspace} 3}}&{ - 12}\\{{{ - 1} \mathord{\left/

{\vphantom {{ - 1} 4}} \right.

\kern-\nulldelimiterspace} 4}}&3\end{aligned}} \right)\end{aligned}\)

This implies that

\(\begin{aligned}{c}{{ - 1} \mathord{\left/

{\vphantom {{ - 1} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} = - {1 \mathord{\left/

{\vphantom {1 4}} \right.

\kern-\nulldelimiterspace} 4}\\{R_2} = 4\end{aligned}\)

\(\begin{aligned}{c}{{{R_1}} \mathord{\left/

{\vphantom {{{R_1}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} + 1 = 3\\{{{R_1}} \mathord{\left/

{\vphantom {{{R_1}} 4}} \right.

\kern-\nulldelimiterspace} 4} = 2\\{R_1} = 8\end{aligned}\)

\(\begin{aligned}{c}1 + {{{R_3}} \mathord{\left/

{\vphantom {{{R_3}} {{R_2}}}} \right.

\kern-\nulldelimiterspace} {{R_2}}} = {4 \mathord{\left/

{\vphantom {4 3}} \right.

\kern-\nulldelimiterspace} 3}\\{{{R_3}} \mathord{\left/

{\vphantom {{{R_3}} 4}} \right.

\kern-\nulldelimiterspace} 4} = {1 \mathord{\left/

{\vphantom {1 3}} \right.

\kern-\nulldelimiterspace} 3}\\{R_3} = {4 \mathord{\left/

{\vphantom {4 3}} \right.

\kern-\nulldelimiterspace} 3}\end{aligned}\)

05

Conclusion

The different factorization of A in Exercise 29 is:

\(A = \left( {\begin{aligned}{*{20}{c}}1&{ - {4 \mathord{\left/

{\vphantom {4 3}} \right.

\kern-\nulldelimiterspace} 3}}\\0&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&0\\{ - {1 \mathord{\left/

{\vphantom {1 4}} \right.

\kern-\nulldelimiterspace} 4}}&1\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}1&{ - 8}\\0&1\end{aligned}} \right)\)

Thus, the ladder network, whose transfer matrix is A, is

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Most popular questions from this chapter

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

16. a. If A and B are \({\bf{3}} \times {\bf{3}}\) and \(B = \left( {\begin{aligned}{*{20}{c}}{{{\bf{b}}_1}}&{{{\bf{b}}_2}}&{{{\bf{b}}_3}}\end{aligned}} \right)\), then \(AB = \left( {A{{\bf{b}}_1} + A{{\bf{b}}_2} + A{{\bf{b}}_3}} \right)\).

b. The second row of ABis the second row of Amultiplied on the right by B.

c. \(\left( {AB} \right)C = \left( {AC} \right)B\)

d. \({\left( {AB} \right)^T} = {A^T}{B^T}\)

e. The transpose of a sum of matrices equals the sum of their transposes.

Find the inverse of the matrix \(\left( {\begin{aligned}{*{20}{c}}{\bf{3}}&{ - {\bf{4}}}\\{\bf{7}}&{ - {\bf{8}}}\end{aligned}} \right)\).

If a matrix \(A\) is \({\bf{5}} \times {\bf{3}}\) and the product \(AB\)is \({\bf{5}} \times {\bf{7}}\), what is the size of \(B\)?

Suppose block matrix \(A\) on the left side of (7) is invertible and \({A_{{\bf{11}}}}\) is invertible. Show that the Schur component \(S\) of \({A_{{\bf{11}}}}\) is invertible. [Hint: The outside factors on the right side of (7) are always invertible. Verify this.] When \(A\) and \({A_{{\bf{11}}}}\) are invertible, (7) leads to a formula for \({A^{ - {\bf{1}}}}\), using \({S^{ - {\bf{1}}}}\) \(A_{{\bf{11}}}^{ - {\bf{1}}}\), and the other entries in \(A\).

Suppose A, B, and Care \(n \times n\) matrices with A, X, and \(A - AX\) invertible, and suppose

\({\left( {A - AX} \right)^{ - 1}} = {X^{ - 1}}B\) …(3)

  1. Explain why B is invertible.
  2. Solve (3) for X. If you need to invert a matrix, explain why that matrix is invertible.
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