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Question: Use Cramer’s rule to compute the solutions of the systems in Exercises1-6.

3. \(\begin{array}{c}3{x_1} - 2{x_2} = 3\\ - 4{x_1} + 6{x_2} = - 5\end{array}\)

Short Answer

Expert verified

The solutions of the systems are \({x_1} = \frac{4}{5},{x_2} = - \frac{3}{{10}}\).

Step by step solution

01

The matrix \({A_1}\left( b \right)\) and \({A_2}\left( b \right)\)

For any\(n \times n\)matrix A and any b in \({\mathbb{R}^n}\), let \({A_i}\left( b \right)\) be the matrix obtained from A by replacing the column \(i\)by vector\({\mathop{\rm b}\nolimits} \).

\({A_i}\left( {\mathop{\rm b}\nolimits} \right) = \left( {\begin{array}{*{20}{c}}{{a_1}}& \cdots &{\mathop{\rm b}\nolimits} & \cdots &{{a_n}}\end{array}} \right)\)

The system of equations is equivalent to\(A{\mathop{\rm x}\nolimits} = {\mathop{\rm b}\nolimits} \), where\({\mathop{\rm A}\nolimits} = \left( {\begin{array}{*{20}{c}}3&{ - 2}\\{ - 4}&6\end{array}} \right)\)and\({\mathop{\rm b}\nolimits} = \left( {\begin{array}{*{20}{c}}3\\{ - 5}\end{array}} \right)\).

Matrices\({A_1}\left( b \right)\)and\({A_2}\left( b \right)\)are shown below:

\({A_1}\left( b \right) = \left( {\begin{array}{*{20}{c}}3&{ - 2}\\{ - 5}&6\end{array}} \right),{A_2}\left( b \right) = \left( {\begin{array}{*{20}{c}}3&3\\{ - 4}&{ - 5}\end{array}} \right)\)

02

Compute the determinants of the matrices

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

\(\begin{array}{c}\det A = \left| {\begin{array}{*{20}{c}}3&{ - 2}\\{ - 4}&6\end{array}} \right|\\ = 18 - 8\\ = 10\end{array}\)

The determinant of matrix\({A_1}\left( b \right)\)is shown below:

\(\begin{array}{c}\det {A_1}\left( b \right) = \left| {\begin{array}{*{20}{c}}3&{ - 2}\\{ - 5}&6\end{array}} \right|\\ = 18 - 10\\ = 8\end{array}\)

The determinant of matrix\({A_2}\left( b \right)\)is shown below:

\(\begin{array}{c}\det {A_2}\left( b \right) = \left| {\begin{array}{*{20}{c}}3&3\\{ - 4}&{ - 5}\end{array}} \right|\\ = - 15 + 12\\ = - 3\end{array}\)

Since \(\det A = 10\), the system has a unique solution.

03

Compute the solution of the system

Let\(A\)be aninvertible\(n \times n\) matrix. Based on Cramer’s rule,for any b in\({\mathbb{R}^n}\), theunique solution \({\mathop{\rm x}\nolimits} \)of\(A{\mathop{\rm x}\nolimits} = {\mathop{\rm b}\nolimits} \)has entries given by

\({x_i} = \frac{{\det {A_i}\left( b \right)}}{{\det A}},\,\,\,\,i = 1,2,...,n\).

Use Cramer’s rule to compute the solution of the system as shown below:

\(\begin{array}{c}{{\mathop{\rm x}\nolimits} _1} = \frac{{\det {A_1}\left( b \right)}}{{\det A}}\\ = \frac{4}{5}\\{{\mathop{\rm x}\nolimits} _2} = \frac{{\det {A_2}\left( b \right)}}{{\det A}}\\ = - \frac{3}{{10}}\end{array}\)

Thus, the solutions of the systems are \({x_1} = \frac{4}{5},{x_2} = - \frac{3}{{10}}\).

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Most popular questions from this chapter

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.

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

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.

\(\left[ {\begin{array}{*{20}{c}}{\bf{3}}&{\bf{2}}\\{\bf{5}}&{\bf{4}}\end{array}} \right],\left[ {\begin{array}{*{20}{c}}{\bf{3}}&{\bf{2}}\\{5 + 3k}&{4 + 2k}\end{array}} \right]\)

Find the determinants in Exercises 5-10 by row reduction to echelon form.

\(\left| {\begin{array}{*{20}{c}}{\bf{1}}&{\bf{5}}&{ - {\bf{4}}}\\{ - {\bf{1}}}&{ - {\bf{4}}}&{\bf{5}}\\{ - {\bf{2}}}&{ - {\bf{8}}}&{\bf{7}}\end{array}} \right|\)

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

Compute the determinants in Exercises 9-14 by cofactor expnasions. At each step, choose a row or column that involves the least amount of computation.

\(\left| {\begin{array}{*{20}{c}}{\bf{4}}&{\bf{0}}&{ - {\bf{7}}}&{\bf{3}}&{ - {\bf{5}}}\\{\bf{0}}&{\bf{0}}&{\bf{2}}&{\bf{0}}&{\bf{0}}\\{\bf{7}}&{\bf{3}}&{ - {\bf{6}}}&{\bf{4}}&{ - {\bf{8}}}\\{\bf{5}}&{\bf{0}}&{\bf{5}}&{\bf{2}}&{ - {\bf{3}}}\\{\bf{0}}&{\bf{0}}&{\bf{9}}&{ - {\bf{1}}}&{\bf{2}}\end{array}} \right|\)

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