Step 1: Understanding the Concept:
We are given \(\vec{c}\) as a linear combination of two known vectors \(\vec{a}\) and \(\vec{b}\).
By applying the distributive property of the dot product, we can generate a system of two linear equations in terms of the unknown scalars \(\lambda\) and \(\mu\).
Once \(\lambda\) and \(\mu\) are found, we can construct \(\vec{c}\) and compute its squared magnitude.
Step 2: Key Formula or Approach:
The dot product distributes over vector addition: \((\lambda \vec{a} + \mu \vec{b}) \cdot \vec{v} = \lambda(\vec{a} \cdot \vec{v}) + \mu(\vec{b} \cdot \vec{v})\).
Let \(\vec{v}_1 = 3\hat{i} - 6\hat{j} + 2\hat{k}\) and \(\vec{v}_2 = \hat{i} + \hat{j} + \hat{k}\).
The given conditions are \(\vec{c} \cdot \vec{v}_1 = 10\) and \(\vec{c} \cdot \vec{v}_2 = -2\).
Step 3: Detailed Explanation:
First, calculate the dot products of \(\vec{a}\) and \(\vec{b}\) with \(\vec{v}_1\).
\[ \vec{a} \cdot \vec{v}_1 = (-1)(3) + (1)(-6) + (3)(2) = -3 - 6 + 6 = -3 \]
\[ \vec{b} \cdot \vec{v}_1 = (1)(3) + (3)(-6) + (1)(2) = 3 - 18 + 2 = -13 \]
Substitute these into the first condition.
\[ \lambda(-3) + \mu(-13) = 10 \implies -3\lambda - 13\mu = 10 \quad \text{--- (Eq 1)} \]
Next, calculate the dot products of \(\vec{a}\) and \(\vec{b}\) with \(\vec{v}_2\).
\[ \vec{a} \cdot \vec{v}_2 = (-1)(1) + (1)(1) + (3)(1) = -1 + 1 + 3 = 3 \]
\[ \vec{b} \cdot \vec{v}_2 = (1)(1) + (3)(1) + (1)(1) = 1 + 3 + 1 = 5 \]
Substitute these into the second condition.
\[ \lambda(3) + \mu(5) = -2 \implies 3\lambda + 5\mu = -2 \quad \text{--- (Eq 2)} \]
Now, solve the linear system by adding (Eq 1) and (Eq 2).
\[ (-3\lambda - 13\mu) + (3\lambda + 5\mu) = 10 - 2 \]
\[ -8\mu = 8 \implies \mu = -1 \]
Substitute \(\mu = -1\) into (Eq 2) to find \(\lambda\).
\[ 3\lambda + 5(-1) = -2 \implies 3\lambda = 3 \implies \lambda = 1 \]
Now that we have \(\lambda\) and \(\mu\), we construct the vector \(\vec{c}\).
\[ \vec{c} = (1)\vec{a} + (-1)\vec{b} = \vec{a} - \vec{b} \]
\[ \vec{c} = (-\hat{i} + \hat{j} + 3\hat{k}) - (\hat{i} + 3\hat{j} + \hat{k}) = -2\hat{i} - 2\hat{j} + 2\hat{k} \]
Finally, calculate the squared magnitude \(|\vec{c}|^2\).
\[ |\vec{c}|^2 = (-2)^2 + (-2)^2 + 2^2 = 4 + 4 + 4 = 12 \]
Step 4: Final Answer:
The value of \(|\vec{c}|^2\) is \(12\).