Concept:
The dot product of two vectors follows the distributive property, similar to algebraic expansion. For any vector \( \vec{v} \), the dot product \( \vec{v} \cdot \vec{v} \) is equal to the square of its magnitude, \( |\vec{v}|^2 \). A unit vector is defined as a vector whose magnitude is exactly 1.
Step 1: Expand the dot product expression.
Using the distributive property of the dot product:
\[ (\vec{x} - \vec{a}) \cdot (\vec{x} + \vec{a}) = \vec{x} \cdot \vec{x} + \vec{x} \cdot \vec{a} - \vec{a} \cdot \vec{x} - \vec{a} \cdot \vec{a} \]
Since the dot product is commutative (\( \vec{x} \cdot \vec{a} = \vec{a} \cdot \vec{x} \)), the middle terms cancel out:
\[ |\vec{x}|^2 - |\vec{a}|^2 = 12 \]
Step 2: Substitute the value of the unit vector magnitude.
Since \( \vec{a} \) is a unit vector, \( |\vec{a}| = 1 \), which implies \( |\vec{a}|^2 = 1 \).
Substituting this into the equation:
\[ |\vec{x}|^2 - 1 = 12 \]
\[ |\vec{x}|^2 = 13 \]
Step 3: Solve for the magnitude of \( \vec{x} \).
Taking the square root of both sides:
\[ |\vec{x}| = \sqrt{13} \]