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In Exercise 33-36, verify that \(\det EA = \left( {\det E} \right)\left( {\det A} \right)\)where E is the elementary matrix shown and \(A = \left[ {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right]\).

33. \(\left[ {\begin{aligned}{*{20}{c}}1&k\\0&1\end{aligned}} \right]\)

Short Answer

Expert verified

It is verified that \(\det EA = \left( {\det E} \right)\left( {\det A} \right)\).

Step by step solution

01

Determine matrix \(EA\)

It is given that \(A = \left[ {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right],{\rm{ }}E = \left[ {\begin{aligned}{*{20}{c}}1&k\\0&1\end{aligned}} \right]\).

Compute matrix \(EA\) as shown below:

\(\begin{aligned}{c}EA = \left[ {\begin{aligned}{*{20}{c}}1&k\\0&1\end{aligned}} \right]\left[ {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right]\\ = \left[ {\begin{aligned}{*{20}{c}}{a + kc}&{b + kd}\\{0 + c}&{0 + d}\end{aligned}} \right]\\ = \left[ {\begin{aligned}{*{20}{c}}{a + kc}&{b + kd}\\c&d\end{aligned}} \right]\end{aligned}\)

02

Verify that \(\det EA = \left( {\det E} \right)\left( {\det A} \right)\)

The determinant of matrices Eand A are shown below:

\[\begin{aligned}{c}\det E = \left| {\begin{aligned}{*{20}{c}}1&k\\0&1\end{aligned}} \right|\\ = 1\\\det A = \left| {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right|\\ = ad - bc\end{aligned}\]

The determinant of matrix \(EA\) is shown below:

\(\begin{aligned}{c}\det EA = \left| {\begin{aligned}{*{20}{c}}{a + kc}&{b + kd}\\c&d\end{aligned}} \right|\\ = \left( {a + kc} \right)d - c\left( {b + kd} \right)\\ = ad + kcd - bc - kcd\\ = 1\left( {ad - bc} \right)\\ = \left( {\det E} \right)\left( {\det A} \right)\end{aligned}\)

Thus, it is verified that \(\det EA = \left( {\det E} \right)\left( {\det A} \right)\).

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Most popular questions from this chapter

Is it true that \(det \left( {A + B} \right) = det A + det B\)? Experiment with four pairs of random matrices as in Exercise 44, and make a conjecture.

The expansion of a \({\bf{3}} \times {\bf{3}}\) determinant can be remembered by the following device. Write a second type of the first two columns to the right of the matrix, and compute the determinant by multiplying entries on six diagonals.

Add the downward diagonal products and subtract the upward products. Use this method to compute the determinants in Exercises 15-18. Warning: This trick does not generalize in any reasonable way to \({\bf{4}} \times {\bf{4}}\) or larger matrices.

\(\left| {\begin{aligned}{*{20}{c}}{\bf{2}}&{ - {\bf{3}}}&{\bf{3}}\\{\bf{3}}&{\bf{2}}&{\bf{2}}\\{\bf{1}}&{\bf{3}}&{ - {\bf{1}}}\end{aligned}} \right|\)

Question: In Exercise 16, compute the adjugate of the given matrix, and then use Theorem 8 to give the inverse of the matrix.

16. \(\left( {\begin{array}{*{20}{c}}{\bf{1}}&{\bf{2}}&{\bf{4}}\\{\bf{0}}&{ - {\bf{3}}}&{\bf{1}}\\{\bf{0}}&{\bf{0}}&{ - {\bf{2}}}\end{array}} \right)\)

Let \(A = \left[ {\begin{array}{*{20}{c}}3&1\\4&2\end{array}} \right]\). Write \(5A\). Is \(\det 5A = 5\det A\)?

Construct a random \({\bf{4}} \times {\bf{4}}\) matrix A with integer entries between \( - {\bf{9}}\) and 9. How is \(det {A^{ - 1}}\) related to \(det A\)? Experiment with random \({\bf{n}} \times {\bf{n}}\) integer matrices for \(n = 4\), 5, and 6, and make a conjecture. Note:In the unlikely event that you encounter a matrix with a zero determinant, reduce

it to echelon form and discuss what you find.

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