Concept:
To solve a system of three linear equations using the matrix inversion method, we express the system in the matrix form:
\[
AX = B \implies X = A^{-1}B
\]
where $A$ is the $3 \times 3$ coefficient matrix, $X$ is the column matrix of unknown variables, and $B$ is the column matrix of constants. The inverse matrix is computed using the formula $A^{-1} = \frac{1}{|A|} \text{adj}(A)$, where $|A|$ is the matrix determinant and $\text{adj}(A)$ is the transpose of the cofactor matrix.
Step 1: Translating the word problem into a system of linear equations.
Let the cost per kg of fertilizer $A$, $B$, and $C$ be represented by the variables $x$, $y$, and $z$ respectively (in ₹).
• From the first condition: "1 kg each of fertilizer A and C added to 2 kg of B costs ₹ 400":
\[
1x + 2y + 1z = 400 \implies x + 2y + z = 400
\]
• From the second condition: "the cost of each kg of fertilizer B and C added together is equal to the cost of 1 kg of fertilizer A":
\[
y + z = x \implies x - y - z = 0
\]
• From the third condition: "the cost of 3 kg of fertilizer B added to ₹ 200 is the same as the cost of 1 kg of fertilizer A and C together":
\[
3y + 200 = x + z \implies x - 3y + z = 200
\]
Our system of linear equations is:
\[
\begin{aligned}
x + 2y + z &= 400
x - y - z &= 0
x - 3y + z &= 200
\end{aligned}
\]
Step 2: Writing the system in matrix form $AX = B$ and evaluating determinant $|A|$.
Define matrices $A$, $X$, and $B$:
\[
A = \begin{bmatrix} 1 & 2 & 1 1 & -1 & -1 1 & -3 & 1 \end{bmatrix}, \quad X = \begin{bmatrix} x y z \end{bmatrix}, \quad B = \begin{bmatrix} 400 0 200 \end{bmatrix}
\]
Let us compute the determinant of matrix $A$ by expanding along the first row:
\[
|A| = 1\begin{bmatrix} -1 & -1 -3 & 1 \end{bmatrix} - 2\begin{bmatrix} 1 & -1 1 & 1 \end{bmatrix} + 1\begin{bmatrix} 1 & -1 1 & -3 \end{bmatrix}
\]
\[
|A| = 1((-1)(1) - (-1)(-3)) - 2((1)(1) - (-1)(1)) + 1((1)(-3) - (-1)(1))
\]
\[
|A| = 1(-1 - 3) - 2(1 + 1) + 1(-3 + 1) = 1(-4) - 2(2) + 1(-2)
\]
\[
|A| = -4 - 4 - 2 = -10
\]
Since $|A| = -10 \neq 0$, the matrix inverse $A^{-1}$ exists, and the system has a unique solution.
Step 3: Finding the cofactor matrix and the adjugate matrix $\text{adj}(A)$.
Let us calculate the cofactors $C_{ij}$ for all nine elements of matrix $A$:
\[
\begin{aligned}
C_{11} &= +(-1 - 3) = -4, & C_{12} &= -(1 - (-1)) = -2, & C_{13} &= +(-3 - (-1)) = -2
C_{21} &= -(2 - (-3)) = -5, & C_{22} &= +(1 - 1) = 0, & C_{23} &= -(-3 - 2) = 5
C_{31} &= +(-2 - (-1)) = -1, & C_{32} &= -(-1 - 1) = 2, & C_{33} &= +(-1 - 2) = -3
\end{aligned}
\]
Form the cofactor matrix and transpose it to obtain the adjugate matrix $\text{adj}(A)$:
\[
\text{Cofactor Matrix} = \begin{bmatrix} -4 & -2 & -2 -5 & 0 & 5 -1 & 2 & -3 \end{bmatrix} \implies \text{adj}(A) = \begin{bmatrix} -4 & -5 & -1 -2 & 0 & 2 -2 & 5 & -3 \end{bmatrix}
\]
Step 4: Computing the inverse $A^{-1}$ and solving for $X$.
Using the matrix equation $X = A^{-1}B = \frac{1}{|A|} \text{adj}(A)B$:
\[
\begin{bmatrix} x y z \end{bmatrix} = \frac{1}{-10} \begin{bmatrix} -4 & -5 & -1 -2 & 0 & 2 -2 & 5 & -3 \end{bmatrix} \begin{bmatrix} 400 0 200 \end{bmatrix}
\]
Perform row-by-column multiplication:
\[
\begin{bmatrix} -4(400) + (-5)(0) + (-1)(200) -2(400) + (0)(0) + (2)(200) -2(400) + (5)(0) + (-3)(200) \end{bmatrix} = \begin{bmatrix} -1600 + 0 - 200 -800 + 0 + 400 -800 + 0 - 600 \end{bmatrix} = \begin{bmatrix} -1800 -400 -1400 \end{bmatrix}
\]
Now divide each component by the determinant value $-10$:
\[
x = \frac{-1800}{-10} = 150, \quad y = \frac{-400}{-10} = 50, \quad z = \frac{-1400}{-10} = 100
\]
Thus, the individual prices are: Fertilizer A = ₹ 150/kg, Fertilizer B = ₹ 50/kg, and Fertilizer C = ₹ 100/kg.