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Let alpha be a root of the equat...

Let ` alpha ` be a root of the equation ` x ^(2) + x + 1 = 0 ` and the matrix ` A = ( 1 ) /(sqrt3) [{:( 1,,1,,1),( 1,, alpha ,, alpha ^(2)), ( 1 ,, alpha ^(2),, alpha ^(4)):}] `
then the matrix ` A ^( 31 ) ` is equal to :

A

` I _ 3 `

B

` A ^(2) `

C

` A `

D

` A ^( 3 ) `

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To solve the problem, we will follow these steps: ### Step 1: Find the roots of the equation The equation given is \( x^2 + x + 1 = 0 \). We can find the roots using the quadratic formula: \[ x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \] Here, \( a = 1, b = 1, c = 1 \). Calculating the discriminant: \[ b^2 - 4ac = 1^2 - 4 \cdot 1 \cdot 1 = 1 - 4 = -3 \] Thus, the roots are: \[ x = \frac{-1 \pm \sqrt{-3}}{2} = \frac{-1 \pm i\sqrt{3}}{2} \] Let \( \alpha = \frac{-1 + i\sqrt{3}}{2} \) and \( \alpha^2 = \frac{-1 - i\sqrt{3}}{2} \). ### Step 2: Define the matrix \( A \) The matrix \( A \) is given as: \[ A = \frac{1}{\sqrt{3}} \begin{pmatrix} 1 & 1 & 1 \\ 1 & \alpha & \alpha^2 \\ 1 & \alpha^2 & \alpha^4 \end{pmatrix} \] Since \( \alpha^3 = 1 \) (as \( \alpha \) is a root of unity), we can simplify \( \alpha^4 \) to \( \alpha \). Thus, the matrix becomes: \[ A = \frac{1}{\sqrt{3}} \begin{pmatrix} 1 & 1 & 1 \\ 1 & \alpha & \alpha^2 \\ 1 & \alpha^2 & \alpha \end{pmatrix} \] ### Step 3: Calculate \( A^2 \) To find \( A^{31} \), we first need to calculate \( A^2 \): \[ A^2 = A \cdot A = \left(\frac{1}{\sqrt{3}}\right)^2 \begin{pmatrix} 1 & 1 & 1 \\ 1 & \alpha & \alpha^2 \\ 1 & \alpha^2 & \alpha \end{pmatrix} \begin{pmatrix} 1 & 1 & 1 \\ 1 & \alpha & \alpha^2 \\ 1 & \alpha^2 & \alpha \end{pmatrix} \] Calculating the product, we find: - The first row will be \( (1 + 1 + 1, 1 + \alpha + \alpha^2, 1 + \alpha^2 + \alpha) = (3, 0, 0) \) because \( 1 + \alpha + \alpha^2 = 0 \). - The second row will be \( (1 + \alpha + \alpha^2, \alpha + \alpha^2 + \alpha^3, \alpha^2 + \alpha^3 + \alpha) = (0, 1, 0) \). - The third row will be \( (1 + \alpha^2 + \alpha, \alpha^2 + \alpha + \alpha^3, \alpha + \alpha^3 + \alpha^2) = (0, 0, 1) \). Thus, we have: \[ A^2 = \frac{1}{3} \begin{pmatrix} 3 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{pmatrix} = \begin{pmatrix} 1 & 0 & 0 \\ 0 & \frac{1}{3} & 0 \\ 0 & 0 & \frac{1}{3} \end{pmatrix} \] ### Step 4: Calculate higher powers of \( A \) Since \( A^2 \) is a diagonal matrix, we can easily compute higher powers: \[ A^4 = (A^2)^2 = \begin{pmatrix} 1 & 0 & 0 \\ 0 & \frac{1}{3} & 0 \\ 0 & 0 & \frac{1}{3} \end{pmatrix}^2 = \begin{pmatrix} 1 & 0 & 0 \\ 0 & \frac{1}{9} & 0 \\ 0 & 0 & \frac{1}{9} \end{pmatrix} \] Continuing this process, we find that: \[ A^{2n} = \begin{pmatrix} 1 & 0 & 0 \\ 0 & \frac{1}{3^n} & 0 \\ 0 & 0 & \frac{1}{3^n} \end{pmatrix} \] and \[ A^{31} = A^{30} \cdot A = A^{2 \cdot 15} \cdot A = \begin{pmatrix} 1 & 0 & 0 \\ 0 & \frac{1}{3^{15}} & 0 \\ 0 & 0 & \frac{1}{3^{15}} \end{pmatrix} \cdot A \] ### Step 5: Final Result Thus, we find: \[ A^{31} = \begin{pmatrix} 1 & 0 & 0 \\ 0 & \frac{1}{3^{15}} & 0 \\ 0 & 0 & \frac{1}{3^{15}} \end{pmatrix} \cdot \frac{1}{\sqrt{3}} \begin{pmatrix} 1 & 1 & 1 \\ 1 & \alpha & \alpha^2 \\ 1 & \alpha^2 & \alpha \end{pmatrix} \] This results in the final matrix \( A^{31} \).
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