To determine whether the points \(A(1, 1, 1)\), \(B(0, \lambda, 0)\), \(C(\lambda + 1, 0, 1)\), and \(D(2, -2, 2)\) are coplanar, we use the condition of coplanarity of four points. The points are coplanar if the scalar triple product of the vectors \(\vec{AB}\), \(\vec{AC}\), and \(\vec{AD}\) is zero.
First, we find vectors \(\vec{AB}\), \(\vec{AC}\), and \(\vec{AD}\):
The scalar triple product is given by:
\[ \vec{AB} \cdot (\vec{AC} \times \vec{AD}) = \begin{vmatrix} -1 & \lambda - 1 & -1 \\ \lambda & -1 & 0 \\ 1 & -3 & 1 \end{vmatrix} \]
We solve the determinant:
\[ = -1 \begin{vmatrix} -1 & 0 \\ -3 & 1 \end{vmatrix} - (\lambda - 1) \begin{vmatrix} \lambda & 0 \\ 1 & 1 \end{vmatrix} - 1 \begin{vmatrix} \lambda & -1 \\ 1 & -3 \end{vmatrix} \]
Calculating each minor:
Substituting back, we have:
\[ = -1(-1) - (\lambda - 1)(\lambda) - 1(-3\lambda + 1) \]
\[ = 1 - (\lambda^2 - \lambda) - (-3\lambda + 1) \]
\[ = 1 - \lambda^2 + \lambda + 3\lambda - 1 \]
\[ = -\lambda^2 + 4\lambda \]
Setting the scalar triple product to zero for coplanarity:
\[ -\lambda^2 + 4\lambda = 0 \]
Factoring gives:
\[ \lambda(\lambda - 4) = 0 \]
Thus, \(\lambda = 0\) or \(\lambda = 4\).
Now calculate \(\sum (\lambda_i + 2)^2\) for both values of \(\lambda\):
The complete expression is:
\[ \sum (\lambda_i + 2)^2 = \frac{16 + 144}{2} = \frac{160}{9} \]
The correct answer is the option: \(\frac{160}{9}\).