Question 43: Verify that \(\det A = \det B + \det C\), where \(A = \left[ {\begin{array}{*{20}{c}}{{a_{11}}}&{{a_{11}}}&{{u_1} + {v_1}}\\{{a_{21}}}&{{a_{22}}}&{{u_2} + {v_2}}\\{{a_{31}}}&{{a_{32}}}&{{u_3} + {v_3}}\end{array}} \right]\), \(B = \left[ {\begin{array}{*{20}{c}}a&b\\c&d\end{array}} \right]\), \(C = \left[ {\begin{array}{*{20}{c}}{{a_{11}}}&{{a_{12}}}&{{v_1}}\\{{a_{21}}}&{{a_{22}}}&{{v_2}}\\{{a_{31}}}&{{a_{32}}}&{{v_3}}\end{array}} \right]\). Note, however, that \(A\) is not the same as \(B + C\).

Short Answer

Expert verified

It is verified that \(\det A = \det B + \det C\).

Step by step solution

01

Step 1:Find the cofactor of the matrix

Theorem 1states that the determinant of an\(n \times n\) matrix can be computed by a cofactor expansion across any row or down any column. The expansion across the \(i{\mathop{\rm th}\nolimits} \) row using the cofactor in \({C_{ij}} = {\left( { - 1} \right)^{i + j}}\det {A_{ij}}\)gives \(\det A = {a_{i1}}{C_{i1}} + {a_{i2}}{C_{i2}} + ... + {a_{in}}{C_{in}}\).

The cofactor expansion down the \(j{\mathop{\rm th}\nolimits} \) column gives\(\det A = {a_{1j}}{C_{1j}} + {a_{2j}}{C_{2j}} + ... + {a_{nj}}{C_{nj}}\)

02

Verify that \(\det A = \det B + \det C\)

Use cofactor expansion across the third column to compute \(\det A\) as shown below:

\(\begin{aligned}{}\det A &= \left( {{u_1} + {v_1}} \right)\det {A_{13}} - \left( {{u_2} + {v_2}} \right)\det {A_{23}} + \left( {{u_3} + {v_3}} \right)\det {A_{33}}\\ &= {u_1}\det {A_{13}} - {u_2}\det {A_{23}} + {u_3}\det {A_{33}} + {v_1}\det {A_{13}} - {v_2}\det {A_{23}} + {v_3}\det {A_{33}}\\ &= \det B + \det C\end{aligned}\)

Thus, it is verified that \(\det A = \det B + \det C\).

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Most popular questions from this chapter

Question: In Exercise 8, determine the values of the parameter s for which the system has a unique solution, and describe the solution.

8.

\(\begin{array}{c}{\bf{3}}s{x_{\bf{1}}} + {\bf{5}}{x_{\bf{2}}} = {\bf{3}}\\12{x_{\bf{1}}} + {\bf{5}}s{x_{\bf{2}}} = {\bf{2}}\end{array}\)

Question: 13. Show that if A is invertible, then adj A is invertible, and \({\left( {adj\,A} \right)^{ - {\bf{1}}}} = \frac{{\bf{1}}}{{detA}}A\).

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.

\[\left[ {\begin{array}{*{20}{c}}{\bf{1}}&{\bf{0}}&{\bf{1}}\\{ - {\bf{3}}}&{\bf{4}}&{ - {\bf{4}}}\\{\bf{2}}&{ - {\bf{3}}}&{\bf{1}}\end{array}} \right],\left[ {\begin{array}{*{20}{c}}k&{\bf{0}}&k\\{ - {\bf{3}}}&{\bf{4}}&{ - {\bf{4}}}\\{\bf{2}}&{ - {\bf{3}}}&{\bf{1}}\end{array}} \right]\]

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.

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

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

5. \(\begin{array}{c}{x_1} + {x_2} = 3\\ - 3{x_1} + 2{x_3} = 0\\{x_2} - 2{x_3} = 2\end{array}\)

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