Let \( F(\alpha) = \begin{bmatrix} \cos \alpha & -\sin \alpha & 0 \\ \sin \alpha & \cos \alpha & 0 \\ 0 & 0 & 1 \end{bmatrix} \), where \( \alpha \in \mathbb{R} \). Then \( [F(\alpha)]^{-1} \) is equal to:
The matrix \( F(\alpha) \) is a rotation matrix. A property of rotation matrices is that their inverse equals their transpose, expressed as \( [F(\alpha)]^{-1} = [F(\alpha)]^T \).
This relationship can be represented as \( F(-\alpha) \), as demonstrated by the equation:
\[ F(\alpha) \cdot F(-\alpha) = \begin{bmatrix} \cos^2 \alpha + \sin^2 \alpha & 0 & 0 \\ 0 & \cos^2 \alpha + \sin^2 \alpha & 0 \\ 0 & 0 & 1 \end{bmatrix} = I, \]
where \( I \) denotes the identity matrix and \( \cos^2 \alpha + \sin^2 \alpha = 1 \).
If a random variable X has the following probability distribution values:
| X | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|
| P(X) | 1/12 | 1/12 | 1/12 | 1/12 | 1/12 | 1/12 | 1/12 | 1/12 |
Then P(X ≥ 6) has the value: