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If the matrix \( \mathrm{A}=\left[\begin{array}{ll}3 & 7 \\ 2 & 5\end{array}\right] \) satisfies the equation \( \mathrm{A}^{2}+\lambda \mathrm{A}+\mu \mathrm{I}=\mathrm{O} \)
\( \left(\right. \) where,\( I=\left[\begin{array}{ll}1 & 0 \\ 0 & 1\end{array}\right] \) and \( \left.O=\left[\begin{array}{ll}0 & 0 \\ 0 & 0\end{array}\right]\right) \), then the value of \( \frac{\mu-\lambda}{3} \) is
\( \left(\right. \) where,\( I=\left[\begin{array}{ll}1 & 0 \\ 0 & 1\end{array}\right] \) and \( \left.O=\left[\begin{array}{ll}0 & 0 \\ 0 & 0\end{array}\right]\right) \), then the value of \( \frac{\mu-\lambda}{3} \) is
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This question can be easily done by using the concept of characteristic equation of a matrix.
Consider the equation , where k is a scalar.
Now, when we solve the equation , then we get a polynomial in k.
Here, if we put k = A(matrix), then the equation obtained is called as the characteristic equation of square matrix A.
The characteristic polynomial of A is .
On comparing the above equation with the given equation , we get
Consider the equation , where k is a scalar.
Now, when we solve the equation , then we get a polynomial in k.
Here, if we put k = A(matrix), then the equation obtained is called as the characteristic equation of square matrix A.
The characteristic polynomial of A is .
On comparing the above equation with the given equation , we get
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