
If $A = \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right]$ and $I = \left[ {\begin{array}{*{20}{c}}
1&0 \\
0&1
\end{array}} \right]$ , what is the value of ${A^2} - 6A$ ?
A. $3I$
B. $5I$
C. $ - 5I$
D. None of these
Answer
216k+ views
Hint: In the above question, we are provided with a matrix $A$ and we are asked to evaluate the value of ${A^2} - 6A$ . Perform Matrix Algebra and evaluate the value of ${A^2} - 6A$, then select the correct option in regard to the evaluated value.
Complete step by step Solution:
Given matrix:
$A = \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right]$
Now, we are asked to calculate the value of ${A^2} - 6A$.
Substituting the values,
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right] \times \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right] - 6 \times \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right]$
Performing Matrix Algebra,
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
{16 + 3}&{4 + 2} \\
{12 + 6}&{3 + 4}
\end{array}} \right] - \left[ {\begin{array}{*{20}{c}}
{24}&6 \\
{18}&{12}
\end{array}} \right]$
Simplifying further,
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
{19}&6 \\
{18}&7
\end{array}} \right] - \left[ {\begin{array}{*{20}{c}}
{24}&6 \\
{18}&{12}
\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}
{19 - 24}&{6 - 6} \\
{18 - 18}&{7 - 12}
\end{array}} \right]$
This gives:
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
{ - 5}&0 \\
0&{ - 5}
\end{array}} \right]$
Taking $ - 5$ common from both the rows,
${A^2} - 6A = - 5\left[ {\begin{array}{*{20}{c}}
1&0 \\
0&1
\end{array}} \right]$
As $\left[ {\begin{array}{*{20}{c}}
1&0 \\
0&1
\end{array}} \right]$ is an identity matrix, therefore, ${A^2} - 6A = - 5I$ .
Hence, the correct option is (C).
Note: When a scalar is multiplied with a matrix, the resultant matrix is the original matrix with each of its terms multiplied by the scalar. Consider a matrix $A$ such that $A = \left[ {\begin{array}{*{20}{c}}
{{a_{11}}}&{{a_{12}}}&{{a_{13}}} \\
{{a_{21}}}&{{a_{22}}}&{{a_{23}}} \\
{{a_{31}}}&{{a_{32}}}&{{a_{33}}}
\end{array}} \right]$ and a scalar $k$ , then \[kA = \left[ {\begin{array}{*{20}{c}}
{k{a_{11}}}&{k{a_{12}}}&{k{a_{13}}} \\
{k{a_{21}}}&{k{a_{22}}}&{k{a_{23}}} \\
{k{a_{31}}}&{k{a_{32}}}&{k{a_{33}}}
\end{array}} \right]\].
Complete step by step Solution:
Given matrix:
$A = \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right]$
Now, we are asked to calculate the value of ${A^2} - 6A$.
Substituting the values,
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right] \times \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right] - 6 \times \left[ {\begin{array}{*{20}{c}}
4&1 \\
3&2
\end{array}} \right]$
Performing Matrix Algebra,
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
{16 + 3}&{4 + 2} \\
{12 + 6}&{3 + 4}
\end{array}} \right] - \left[ {\begin{array}{*{20}{c}}
{24}&6 \\
{18}&{12}
\end{array}} \right]$
Simplifying further,
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
{19}&6 \\
{18}&7
\end{array}} \right] - \left[ {\begin{array}{*{20}{c}}
{24}&6 \\
{18}&{12}
\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}
{19 - 24}&{6 - 6} \\
{18 - 18}&{7 - 12}
\end{array}} \right]$
This gives:
${A^2} - 6A = \left[ {\begin{array}{*{20}{c}}
{ - 5}&0 \\
0&{ - 5}
\end{array}} \right]$
Taking $ - 5$ common from both the rows,
${A^2} - 6A = - 5\left[ {\begin{array}{*{20}{c}}
1&0 \\
0&1
\end{array}} \right]$
As $\left[ {\begin{array}{*{20}{c}}
1&0 \\
0&1
\end{array}} \right]$ is an identity matrix, therefore, ${A^2} - 6A = - 5I$ .
Hence, the correct option is (C).
Note: When a scalar is multiplied with a matrix, the resultant matrix is the original matrix with each of its terms multiplied by the scalar. Consider a matrix $A$ such that $A = \left[ {\begin{array}{*{20}{c}}
{{a_{11}}}&{{a_{12}}}&{{a_{13}}} \\
{{a_{21}}}&{{a_{22}}}&{{a_{23}}} \\
{{a_{31}}}&{{a_{32}}}&{{a_{33}}}
\end{array}} \right]$ and a scalar $k$ , then \[kA = \left[ {\begin{array}{*{20}{c}}
{k{a_{11}}}&{k{a_{12}}}&{k{a_{13}}} \\
{k{a_{21}}}&{k{a_{22}}}&{k{a_{23}}} \\
{k{a_{31}}}&{k{a_{32}}}&{k{a_{33}}}
\end{array}} \right]\].
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