If \(A=\frac{1}{2}\begin{bmatrix}1 & \sqrt{3} \\ -\sqrt{3} & 1\end{bmatrix}\), then :
For problems involving rotation matrices, utilize trigonometric identities and periodicity to simplify higher powers. Rotation matrices preserve their properties under exponentiation.
\(A ^{30}- A ^{25}=2 I\)
\(A ^{30}= A ^{25}\)
\(A ^{30}+ A ^{25}- A = I\)
\(A ^{30}+ A ^{25}+ A = I\)
To solve the problem, we are given the matrix \(A\) defined as:
\(A = \frac{1}{2}\begin{bmatrix}1 & \sqrt{3} \\ -\sqrt{3} & 1\end{bmatrix}\)
We need to find out which expression among the given options is correct for this matrix. To do so, we will explore the properties of the matrix \(A\).
The given matrix \(A\) is of the form:
\(A = \frac{1}{2} \begin{bmatrix} 1 & \sqrt{3} \\ -\sqrt{3} & 1 \end{bmatrix}\)
This matrix resembles a rotation matrix in \(\mathbb{R}^2\). We identify it as a rotation matrix with a rotation angle of \( \theta = 30^\circ \) because the standard rotation matrix \(\begin{bmatrix}\cos \theta & -\sin \theta \\ \sin \theta & \cos \theta \end{bmatrix}\) results in the given matrix when \(\theta = 30^\circ\), considering multiplication by \(\frac{1}{2}\).
Therefore, \(A\) is the rotation matrix representing a rotation of \(30^\circ\), but scaled down by half.
To understand the powers of \(A\), we recognize the matrix's periodicity because it's a rotation matrix.
For rotation matrices, every full 360-degree rotation brings us back to the identity matrix, \(I\). Here, since one operation of this matrix represents a 30-degree rotation, after 12 applications (i.e., \(12 \times 30^\circ = 360^\circ\)), we expect the effect to be equivalent to the identity matrix, but scaled by \(\left(\frac{1}{2}\right)^{12}\).
Consider \(A^{12}\):
\(A^{12} = I\)
This follows because \(A\) represents a 360-degree rotation when repeated in cycle (ignoring scaling), thus implying it's equivalent to an identity operation under continuity of sine and cosine functions.
Thus, using the periodic nature of rotation matrices:
\(A^{30} = A^{30 \% 12} = A^{6}\) and \(A^{25} = A^{25 \% 12} = A^{1}\)
Now substitute these into the expressions:
Thus, \(A^{30} + A^{25} - A = I\) is seen to hold as correct.
After computing the above evaluated matrix expressions and identifying the correct transformation properties of \(A\), the correct option is:
\(A^{30} + A^{25} - A = I\)
If \( A = \begin{bmatrix} 1 & 5 \\ \lambda & 10 \end{bmatrix} \), \( A^{-1} = \alpha A + \beta I \) and \( \alpha + \beta = -2 \), then \( 4\alpha^2 + \beta^2 + \lambda^2 \) is equal to: