To determine the vector \(\vec{c}\) that satisfies the given conditions, we will solve the problem step-by-step:
Given:
Objective: Find \(\vec{c}\).
Let's assume \(\vec{c} = x\hat{i} + y\hat{j} + z\hat{k}\).
The cross product \(\vec{a} \times \vec{c}\) can be computed using the determinant:
| \(\vec{a} \times \vec{c} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 1 & 1 \\ x & y & z \end{vmatrix}\) |
Expanding the determinant:
| \(\vec{a} \times \vec{c} = \hat{i}(1 \cdot z - 1 \cdot y) - \hat{j}(1 \cdot z - 1 \cdot x) + \hat{k}(1 \cdot y - 1 \cdot x)\) |
Simplifying, we get:
| \(\vec{a} \times \vec{c} = (z - y)\hat{i} - (z - x)\hat{j} + (y - x)\hat{k}\) |
Equating to \(\vec{b} = \hat{j} - \hat{k}\), we have:
From \(z - y = 0\), we have \(z = y\).
Substituting \(z = y\) into \(z - x = -1\) gives:
\(y - x = -1 \Rightarrow y = x - 1\)
Use \(y - x = -1\): \((x - 1) - x = -1\) (true for all \(x\))
Substitute \(\vec{c} = x\hat{i} + (x - 1)\hat{j} + (x - 1)\hat{k}\) into the dot product:
| \(\vec{a} \cdot \vec{c} = (1 \cdot x) + (1 \cdot (x - 1)) + (1 \cdot (x - 1)) = 3\) |
Thus, \(x + x - 1 + x - 1 = 3\).
Then, \(3x - 2 = 3 \Rightarrow 3x = 5 \Rightarrow x = \frac{5}{3}\).
So, \(x = \frac{5}{3}\), \(y = x - 1 = \frac{2}{3}\), \(z = \frac{2}{3}\).
Thus, \(\vec{c} = \frac{5}{3}\hat{i} + \frac{2}{3}\hat{j} + \frac{2}{3}\hat{k}\).
Conclusion: The correct option is \(\frac{5}{3}\hat{i} + \frac{2}{3}\hat{j} + \frac{2}{3}\hat{k}\).
If \( X \) is a random variable such that \( P(X = -2) = P(X = -1) = P(X = 2) = P(X = 1) = \frac{1}{6} \), and \( P(X = 0) = \frac{1}{3} \), then the mean of \( X \) is