Step 1: Understanding the Concept:
The projection of a vector \(\vec{a}\) on another vector \(\vec{b}\) (also known as the scalar projection or component of \(\vec{a}\) along \(\vec{b}\)) is a measure of how much of vector \(\vec{a}\) points in the direction of \(\vec{b}\).
Step 2: Key Formula or Approach:
The scalar projection of \(\vec{a}\) on \(\vec{b}\) is given by the formula:
\[ \text{Projection} = \frac{\vec{a} \cdot \vec{b}}{|\vec{b}|} \]
Using the definition of the dot product, \(\vec{a} \cdot \vec{b} = |\vec{a}||\vec{b}|\cos\theta\), this simplifies to:
\[ \text{Projection} = \frac{|\vec{a}||\vec{b}|\cos\theta}{|\vec{b}|} = |\vec{a}|\cos\theta \]
where \(\theta\) is the angle between the vectors.
Step 3: Detailed Explanation:
We are given:
The magnitude of \(\vec{a}\) is \(|\vec{a}| = 12\).
The projection of \(\vec{a}\) on \(\vec{b}\) is \(6\sqrt{3}\).
Using the formula \(\text{Projection} = |\vec{a}|\cos\theta\), we can set up the equation:
\[ 6\sqrt{3} = 12 \cos\theta \]
Now, we solve for \(\cos\theta\):
\[ \cos\theta = \frac{6\sqrt{3}}{12} \]
\[ \cos\theta = \frac{\sqrt{3}}{2} \]
We need to find the angle \(\theta\) (assuming \(0 \le \theta \le \pi\)) for which \(\cos\theta = \frac{\sqrt{3}}{2}\).
The principal value is:
\[ \theta = \cos^{-1}\left(\frac{\sqrt{3}}{2}\right) = \frac{\pi}{6} \text{ radians} \]
Step 4: Final Answer:
The angle between \(\vec{a}\) and \(\vec{b}\) is \(\frac{\pi}{6}\).