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Question: Let \(A = \left( {\begin{array}{*{20}{c}}a&b\\c&d\end{array}} \right)\). Use formula (1) for a determinant (given before Example 2) to show that \(\det A = ad - bc\). Consider two cases: \(a \ne 0\) and \(a = 0\).

Short Answer

Expert verified

It is proved that \({\rm{det}}A = ad - cb\) when \(a \ne 0\) and \(a = 0\).

Step by step solution

01

Consider \(a \ne 0\) and determine the determinant

Consider \(a \ne 0\), apply the row operations on the matrix \(A\).

\[\begin{array}A = \left( {\begin{array}{*{20}{c}}a&b\\c&d\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}a&b\\0&{d - c{a^{ - 1}}b}\end{array}} \right)\;\;\;\;\;\;\;\;\;\;{R_2} \to {R_2} - \frac{1}{a}{R_1}\\ = U\end{array}\]

Find the determinant of \(A\).

\(\begin{array}{\rm{det}}A = a\left( {d - c{a^{ - 1}}b} \right) - b\left( 0 \right)\\ = ad - cb\end{array}\)

Thus, it is proved that \({\rm{det}}A = ad - cb\) when \(a \ne 0\).

02

Consider \(a = 0\) and determine the determinant

Consider \(a = 0\), apply the row operations on the matrix \(A\).

\[\begin{array}A = \left( {\begin{array}{*{20}{c}}0&b\\c&d\end{array}} \right)\\ = \left( {\begin{array}{*{20}{c}}c&d\\0&b\end{array}} \right)\;\;\;\;\;\;\;\;\;\;{R_2} \leftrightarrow {R_1}\\ = U\end{array}\]

Find the determinant of \(A\).

\[\begin{array}{\rm{det}}A = {\left( { - 1} \right)^1}\left( {cb} \right)\\ = 0 - bc\\ = ad - bc\end{array}\]

Thus, it is proved that \({\rm{det}}A = ad - cb\) when \(a = 0\).

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Most popular questions from this chapter

Question: Diagonalize the matrices in Exercises \({\bf{7--20}}\), if possible. The eigenvalues for Exercises \({\bf{11--16}}\) are as follows:\(\left( {{\bf{11}}} \right)\lambda {\bf{ = 1,2,3}}\); \(\left( {{\bf{12}}} \right)\lambda {\bf{ = 2,8}}\); \(\left( {{\bf{13}}} \right)\lambda {\bf{ = 5,1}}\); \(\left( {{\bf{14}}} \right)\lambda {\bf{ = 5,4}}\); \(\left( {{\bf{15}}} \right)\lambda {\bf{ = 3,1}}\); \(\left( {{\bf{16}}} \right)\lambda {\bf{ = 2,1}}\). For exercise \({\bf{18}}\), one eigenvalue is \(\lambda {\bf{ = 5}}\) and one eigenvector is \(\left( {{\bf{ - 2,}}\;{\bf{1,}}\;{\bf{2}}} \right)\).

8. \(\left( {\begin{array}{*{20}{c}}{\bf{5}}&{\bf{1}}\\{\bf{0}}&{\bf{5}}\end{array}} \right)\)

Use Exercise 12 to find the eigenvalues of the matrices in Exercises 13 and 14.

13. \(A = \left( {\begin{array}{*{20}{c}}3&{ - 2}&8\\0&5&{ - 2}\\0&{ - 4}&3\end{array}} \right)\)

Suppose \(A\) is diagonalizable and \(p\left( t \right)\) is the characteristic polynomial of \(A\). Define \(p\left( A \right)\) as in Exercise 5, and show that \(p\left( A \right)\) is the zero matrix. This fact, which is also true for any square matrix, is called the Cayley-Hamilton theorem.

Question: In Exercises \({\bf{1}}\) and \({\bf{2}}\), let \(A = PD{P^{ - {\bf{1}}}}\) and compute \({A^{\bf{4}}}\).

1. \(P{\bf{ = }}\left( {\begin{array}{*{20}{c}}{\bf{5}}&{\bf{7}}\\{\bf{2}}&{\bf{3}}\end{array}} \right)\), \(D{\bf{ = }}\left( {\begin{array}{*{20}{c}}{\bf{2}}&{\bf{0}}\\{\bf{0}}&{\bf{1}}\end{array}} \right)\)

(M)The MATLAB command roots\(\left( p \right)\) computes the roots of the polynomial equation \(p\left( t \right) = {\bf{0}}\). Read a MATLAB manual, and then describe the basic idea behind the algorithm for the roots command.

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