Concept:
The adjoint of a matrix \( A \), denoted as \( \text{adj } A \), is the transpose of the cofactor matrix. A key property used to find unknown elements in matrix \( A \) when its adjoint is given is:
• \( A \cdot (\text{adj } A) = |A| \cdot I \), where \( |A| \) is the determinant and \( I \) is the identity matrix.
• Alternatively, the element \( A_{ij} \) is related to the cofactors. Specifically, the transpose of the matrix of cofactors equals the adjoint. Thus, \( C_{ij} = (\text{adj } A)_{ji} \).
Step 1: Using the property \( A \cdot (\text{adj } A) = |A|I \).
Let's consider the product of the first row of \( A \) and the first column of \( \text{adj } A \):
\[
(a)(7) + (1)(-3) + (2)(1) = |A| \quad \Rightarrow \quad 7a - 3 + 2 = |A| \quad \Rightarrow \quad |A| = 7a - 1 \quad \cdots (1)
\]
Now consider the product of the first row of \( A \) and the second column of \( \text{adj } A \) (which must be 0):
\[
(a)(-1) + (1)(9) + (2)(-3) = 0 \quad \Rightarrow \quad -a + 9 - 6 = 0 \quad \Rightarrow \quad -a + 3 = 0 \quad \Rightarrow \quad \mathbf{a = 3}
\]
Step 2: Finding unknowns \( b \) and \( c \) using orthogonality properties.
Multiply the second row of \( A \) with the second column of \( \text{adj } A \):
\[
(1)(-1) + (2)(9) + (b)(-3) = |A| \quad \Rightarrow \quad -1 + 18 - 3b = |A| \quad \Rightarrow \quad 17 - 3b = |A|
\]
From Step 1, \( |A| = 7(3) - 1 = 20 \). So:
\[
17 - 3b = 20 \quad \Rightarrow \quad -3b = 3 \quad \Rightarrow \quad \mathbf{b = -1}
\]
Multiply the third row of \( A \) with the third column of \( \text{adj } A \):
\[
(c)(-5) + (1)(5) + (3)(5) = |A| \quad \Rightarrow \quad -5c + 5 + 15 = 20
\]
\[
-5c + 20 = 20 \quad \Rightarrow \quad -5c = 0 \quad \Rightarrow \quad \mathbf{c = 0}
\]
Step 3: Calculating the final value.
We have \( a = 3 \), \( b = -1 \), and \( c = 0 \).
\[
a^2 + b^2 + c^2 = (3)^2 + (-1)^2 + (0)^2
\]
\[
= 9 + 1 + 0 = 10
\]