Concept:
A polynomial equation identity holds true for all possible values of its variable. Instead of completely expanding a complex determinant containing a variable like \(\lambda\), we can substitute strategic values of \(\lambda\) to find specific coefficients or combinations of coefficients directly.
Key observations for substitution:
• Substituting \(\lambda = 0\) isolates the constant term \(D\).
• The coefficient of \(\lambda^3\) (which is \(A\)) can be found by inspecting only the terms that contribute to the highest power of \(\lambda\) during expansion.
Step 1: Finding the value of \(D\) by substituting \(\lambda = 0\).
Since the given matrix equation is an identity in \(\lambda\), substitute \(\lambda = 0\) on both sides:
\[
\begin{vmatrix} 1 & 2 & 3 - 0 0 & -1 - 0 & 2 1 - 0 & 1 & 3 \end{vmatrix} = A(0)^3 + B(0)^2 + C(0) + D
\]
\[
\begin{vmatrix} 1 & 2 & 3 0 & -1 & 2 1 & 1 & 3 \end{vmatrix} = D
\]
Now, expand the determinant along the first column (\(C_1\)):
\[
D = 1 \cdot \begin{vmatrix} -1 & 2 1 & 3 \end{vmatrix} - 0 + 1 \cdot \begin{vmatrix} 2 & 3 -1 & 2 \end{vmatrix}
\]
\[
D = 1 \cdot [(-1)(3) - (2)(1)] + 1 \cdot [(2)(2) - (3)(-1)]
\]
\[
D = 1 \cdot [-3 - 2] + 1 \cdot [4 + 3] = -5 + 7 = 2 \quad \cdots (1)
\]
Step 2: Finding the coefficient of \(\lambda^3\) (\(A\)) by structural inspection.
Let us examine the elements containing \(\lambda\):
\[
\Delta(\lambda) = \begin{vmatrix} 1 & 2 & 3 - \lambda 0 & -1 - \lambda & 2 1 - \lambda & 1 & 3 \end{vmatrix}
\]
Expanding completely along the first column (\(C_1\)) to see where the highest power of \(\lambda\) comes from:
\[
\Delta(\lambda) = 1 \cdot \begin{vmatrix} -1 - \lambda & 2 1 & 3 \end{vmatrix} + (1 - \lambda) \cdot \begin{vmatrix} 2 & 3 - \lambda -1 - \lambda & 2 \end{vmatrix}
\]
Let's find the leading term in each component:
• First part: \(1 \cdot [(-1-\lambda)(3) - 2] = -3 - 3\lambda - 2 = -5 - 3\lambda\). (No \(\lambda^3\) term here).
• Second part: \((1 - \lambda) \cdot [4 - (3 - \lambda)(-1 - \lambda)]\).
Focusing only on the \((3 - \lambda)(-1 - \lambda)\) multiplication inside the bracket:
\[
(3 - \lambda)(-1 - \lambda) = -3 - 3\lambda + \lambda + \lambda^2 = \lambda^2 - 2\lambda - 3
\]
Thus, the second part becomes:
\[
(1 - \lambda) \cdot [4 - (\lambda^2 - 2\lambda - 3)] = (1 - \lambda)(7 + 2\lambda - \lambda^2)
\]
Multiplying this out to extract the \(\lambda^3\) term:
\[
-\lambda \cdot (-\lambda^2) = \lambda^3
\]
Therefore, the coefficient of \(\lambda^3\) is \(A = 1\). Wait, let's look closer at the signs:
\[
4 - (3-\lambda)(-1-\lambda) = 4 - (\lambda-3)(\lambda+1) = 4 - (\lambda^2 - 2\lambda - 3) = -\lambda^2 + 2\lambda + 7
\]
Multiplying by \((1-\lambda)\):
\[
(1-\lambda)(-\lambda^2 + 2\lambda + 7) = -\lambda^2 + 2\lambda + 7 + \lambda^3 - 2\lambda^2 - 7\lambda = \lambda^3 - 3\lambda^2 - 5\lambda + 7
\]
So the overall polynomial expression is:
\[
\Delta(\lambda) = (-5 - 3\lambda) + (\lambda^3 - 3\lambda^2 - 5\lambda + 7) = \lambda^3 - 3\lambda^2 - 8\lambda + 2
\]
Comparing this with \(A\lambda^3 + B\lambda^2 + C\lambda + D\), we get:
\[
A = 1 \quad \text{and} \quad D = 2
\]
Wait, let's re-verify the expansion step. Let's do the expansion along the third row \(R_3\):
\[
(1-\lambda)[4 - (3-\lambda)(-1-\lambda)] - 1[2 - 0] + 3[1(-1-\lambda) - 0]
\]
\[
= (1-\lambda)[4 - (\lambda^2 - 2\lambda - 3)] - 2 + 3(-1-\lambda)
\]
\[
= (1-\lambda)(-\lambda^2 + 2\lambda + 7) - 2 - 3 - 3\lambda
\]
\[
= (\lambda^3 - 3\lambda^2 - 5\lambda + 7) - 5 - 3\lambda = \lambda^3 - 3\lambda^2 - 8\lambda + 2
\]
This perfectly confirms \(A = 1\) and \(D = 2\). Let's check the value of \(D + A\):
\[
D + A = 2 + 1 = 3
\]
Wait, let's re-verify the option choice. The calculation shows \(A = 1\) and \(D = 2\), so \(D + A = 3\), which corresponds to option (d). Let's update the correct answer option label accordingly.
Step 3: Evaluating the final required value \(D + A\).
From our rigorous full polynomial expansion:
\[
A = 1, \quad D = 2
\]
Therefore, the required sum is:
\[
D + A = 2 + 1 = 3
\]