To find \( \vec{a} \cdot \vec{d} \), we need to use the information given in the problem. Let's solve this step-by-step:
The cross product \( \vec{a} \times \vec{b} \) is: \[ \vec{c} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 2 & 1 & -1 \\ 1 & 1 & 0 \end{vmatrix} = \hat{i}(0 - (-1)) - \hat{j}(-2 - 0) + \hat{k}(2 - 1) = \hat{i} + 2\hat{j} + \hat{k} \]
Calculate \(|\vec{c}|\): \[ |\vec{c}| = \sqrt{1^2 + 2^2 + 1^2} = \sqrt{6} \]
Thereby, \[ |\vec{a}|^2 - 2\vec{a} \cdot \vec{d} + |\vec{d}|^2 = 11 \] and, \[ |\vec{a}|^2 = (2^2 + 1^2 + (-1)^2) = 6 \]
Simplify further: \[ -2\vec{a} \cdot \vec{d} = 5 - |\vec{d}|^2 \], thus, \[ 2\vec{a} \cdot \vec{d} = |\vec{d}|^2 - 5 \]
The identity for sin and cos, \[ \tan(\theta) = \frac{\sin(\theta)}{\cos(\theta)} \] finds \[ \tan(\theta) = \frac{3}{\frac{\pi}{4}} \approx \text{(constant)} \]
The answer is option: \(\frac{1}{2}\)