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Question: If \(D = \left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \...

If D = \left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right| then what is the value of \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right|?

Explanation

Solution

In this problem, the determinant is given as D = \left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right| and we need to find the value of another determinant in which 22 is multiplied with every element of DD. For this, we will use the scalar multiple property of determinant. Scalar multiple property says that if AA is any n×nn \times n matrix and kk is non-zero constant then the determinant of matrix kAkA is kn{k^n} times the determinant of AA. That is, kA=knA\left| {kA} \right| = {k^n}\left| A \right|. Note that in the given problem n=2n = 2 is order of determinant.

Complete step-by-step solution:
Let A = \left[ {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right] be the matrix. The determinant of matrix AA is denoted by det(A)\det \left( A \right) or A\left| A \right|. In this problem, it is given that D = \left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right|.
Let us find 2A2A. Then, 2A = \left[ {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right]. The determinant of matrix 2A2A is given by \left| {2A} \right| = \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right|.
Note that there are two rows and two columns in \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right|. Therefore, we can say that the order is n=2n = 2. We need to find the value of \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right|. For this, we will use the scalar multiple property of determinant. Scalar multiple property says that if AA is any n×nn \times n matrix and kk is non-zero constant then determinant of matrix kAkA is kn{k^n} times the determinant of AA. That is, kA=knA\left| {kA} \right| = {k^n}\left| A \right|.
Let us compare 2A\left| {2A} \right| with kA\left| {kA} \right| then we can say that k=2k = 2.
Now we have scalar multiple is k=2k = 2 and the order of determinant is n=2n = 2. Now we are going to use the property kA=knA\left| {kA} \right| = {k^n}\left| A \right|. Therefore, 2A=22A\left| {2A} \right| = {2^2}\left| A \right|
\Rightarrow \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right| = 4\left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right|
\Rightarrow \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right| = 4D\quad \quad \left[ {\because D = \left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right|} \right]
Therefore, if D = \left| {\begin{array}{*{20}{c}} \alpha &\beta \\\ \gamma &\delta \end{array}} \right| then the value of \left| {\begin{array}{*{20}{c}} {2\alpha }&{2\beta } \\\ {2\gamma }&{2\delta } \end{array}} \right| is 4D4D.

Note: We can find the value of determinant if the matrix is square. The square matrix is the matrix in which the number of rows and columns are equal. If we have the matrix A = \left[ {\begin{array}{*{20}{c}} a&b; \\\ c&d; \end{array}} \right] then the determinant of matrix AA is \left| {\begin{array}{*{20}{c}} a&b; \\\ c&d; \end{array}} \right| = ad - bc. For example, if we have the matrix A = \left[ {\begin{array}{*{20}{c}} 1&2 \\\ 3&4 \end{array}} \right] then the value of determinant is \left| {\begin{array}{*{20}{c}} 1&2 \\\ 3&4 \end{array}} \right| = \left( {1 \times 4} \right) - \left( {2 \times 3} \right) = 4 - 6 = - 2. If all the elements of at least one row (or at least one column) are zero then the determinant will be zero. Determinant of the matrix AA and AT{A^T} are the same where AT{A^T} is the matrix obtained by interchanging the rows and columns of the matrix AA.