Step 1: Understanding the Question:
We are given two constant vectors $\vec{v}$ and $\vec{w}$, and an unspecified unit vector $\vec{u}$. We need to find the maximum possible scalar value that the scalar triple product $[\vec{u} \,\, \vec{v} \,\, \vec{w}]$ can achieve.
Step 2: Key Formula or Approach:
By definition, the scalar triple product can be written using a dot product and a cross product:
$$[\vec{u} \,\, \vec{v} \,\, \vec{w}] = \vec{u} \cdot (\vec{v} \times \vec{w})$$
Using the geometric definition of the vector dot product:
$$\vec{u} \cdot (\vec{v} \times \vec{w}) = |\vec{u}| \cdot |\vec{v} \times \vec{w}| \cdot \cos \theta$$
where $\theta$ is the angle between vector $\vec{u}$ and the vector cross product $(\vec{v} \times \vec{w})$. To maximize this value, $\cos \theta$ must take its maximum possible value of 1 (which occurs when $\vec{u}$ is aligned parallel to $\vec{v} \times \vec{w}$). Since $\vec{u}$ is a unit vector, $|\vec{u}| = 1$. Thus:
$$\text{Maximum Value} = 1 \times |\vec{v} \times \vec{w}| \times 1 = |\vec{v} \times \vec{w}|$$
Step 3: Detailed Explanation:
1. First, calculate the cross product vector $\vec{v} \times \vec{w}$ using a determinant format:
$$\vec{v} \times \vec{w} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 2 & 2 & -1 \\ 1 & 0 & 3 \end{vmatrix}$$
2. Expand the determinant along the first row:
$$\vec{v} \times \vec{w} = \hat{i} \left[(2)(3) - (-1)(0)\right] - \hat{j} \left[(2)(3) - (-1)(1)\right] + \hat{k} \left[(2)(0) - (2)(1)\right]$$
$$\vec{v} \times \vec{w} = \hat{i} [6 - 0] - \hat{j} [6 + 1] + \hat{k} [0 - 2]$$
$$\vec{v} \times \vec{w} = 6\hat{i} - 7\hat{j} - 2\hat{k}$$
3. Now, calculate the absolute vector magnitude of this cross product:
$$|\vec{v} \times \vec{w}| = \sqrt{(6)^2 + (-7)^2 + (-2)^2}$$
$$|\vec{v} \times \vec{w}| = \sqrt{36 + 49 + 4} = \sqrt{89}$$
Therefore, the maximum value of the scalar triple product is $\sqrt{89}$.
Step 4: Final Answer:
The maximum value of the scalar triple product is $\sqrt{89}$, which corresponds to option (D).