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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.

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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.

\(\left| {\begin{aligned}{*{20}{c}}{\bf{1}}&{\bf{3}}&{\bf{4}}\\{\bf{2}}&{\bf{3}}&{\bf{1}}\\{\bf{3}}&{\bf{3}}&{\bf{2}}\end{aligned}} \right|\)

Short Answer

Expert verified

The value of the determinant is \( - 12\).

Step by step solution

01

Write the first two columns to the right of the matrix

The determinant can be written as shown below:

\(\left| {\left. {\begin{aligned}{*{20}{c}}1&3&4\\2&3&1\\3&3&2\end{aligned}} \right|\begin{aligned}{*{20}{c}}1&3\\2&3\\3&3\end{aligned}} \right|\)

02

Calculate the determinant

The determinant can be calculated as shown below:

\(\begin{aligned}{c}\det = \left( 1 \right)\left( 3 \right)\left( 2 \right) + \left( 3 \right)\left( 1 \right)\left( 3 \right) + \left( 4 \right)\left( 2 \right)\left( 3 \right) - \left( 3 \right)\left( 3 \right)\left( 4 \right) - \left( 3 \right)\left( 1 \right)\left( 1 \right) - \left( 2 \right)\left( 2 \right)\left( 3 \right)\\ = 6 + 9 + 24 - 36 - 3 - 12\\ = - 12\end{aligned}\)

So, the value of the determinant is \( - 12\).

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Most popular questions from this chapter

In Exercise 19-24, explore the effect of an elementary row operation on the determinant of a matrix. In each case, state the row operation and describe how it affects the determinant.

\(\left[ {\begin{aligned}{*{20}{c}}a&b\\c&d\end{aligned}} \right],\left[ {\begin{aligned}{*{20}{c}}c&d\\a&b\end{aligned}} \right]\)

In Exercises 27 and 28, A and B are \[n \times n\] matrices. Mark each statement True or False. Justify each answer.

27. a. A row replacement operation does not affect the determinant of a matrix.

b. The determinant of A is the product of the pivots in any echelon form U of A, multiplied by \({\left( { - {\bf{1}}} \right)^r}\), where r is the number of row interchanges made during row reduction from A to U.

c. If the columns of A are linearly dependent, then \(det\left( A \right) = 0\).

d. \(det\left( {A + B} \right) = det{\rm{ }}A + det{\rm{ }}B\).

Is it true that \(det{\rm{ }}AB = \left( {det{\rm{ }}A} \right)\left( {det{\rm{ }}B} \right)\)? To find out, generate random \({\bf{5}} \times {\bf{5}}\) matrices A and B, and compute \[det AB - \left( {det A{\rm{ }}det B} \right)\]. Repeat the calculations for three other pairs of \(n \times n\) matrices, for various values of n. Report your results.

Question: 6. Use Cramer’s rule to compute the solution of the following system.

\(\begin{array}{c}{x_{\bf{1}}} + {\bf{3}}{x_{\bf{2}}} + \,{x_{\bf{3}}} = {\bf{4}}\\ - {x_{\bf{1}}} + \,\,\,\,\,\,\,\,\,\,{\bf{2}}{x_{\bf{3}}} = {\bf{2}}\\{\bf{3}}{x_{\bf{1}}} + \,{x_{\bf{2}}}\,\,\,\,\,\,\,\,\,\,\,\,\, = {\bf{2}}\end{array}\)

Compute the determinant in Exercise 2 using a cofactor expansion across the first row. Also compute the determinant by a cofactor expansion down the second column.

  1. \(\left| {\begin{aligned}{*{20}{c}}{\bf{0}}&{\bf{4}}&{\bf{1}}\\{\bf{5}}&{ - {\bf{3}}}&{\bf{0}}\\{\bf{2}}&{\bf{3}}&{\bf{1}}\end{aligned}} \right|\)
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