To find $A^{-1}$, we can use the property that if $A \cdot A = I$ (where $I$ is the identity matrix), then $A$ is its own inverse ($A = A^{-1}$).
1. Calculate $A^2$ ($A \cdot A$):
$$\begin{bmatrix} 0 & 0 & 1 \\ 0 & 1 & 0 \\ 1 & 0 & 0 \end{bmatrix} \begin{bmatrix} 0 & 0 & 1 \\ 0 & 1 & 0 \\ 1 & 0 & 0 \end{bmatrix}$$
Multiplying Row 1 by each column:
• $(0 \times 0) + (0 \times 0) + (1 \times 1) = 1$
• $(0 \times 0) + (0 \times 1) + (1 \times 0) = 0$
• $(0 \times 1) + (0 \times 0) + (1 \times 0) = 0$
Multiplying Row 2 by each column:
• $(0 \times 0) + (1 \times 0) + (0 \times 1) = 0$
• $(0 \times 0) + (1 \times 1) + (0 \times 0) = 1$
• $(0 \times 1) + (1 \times 0) + (0 \times 0) = 0$
Multiplying Row 3 by each column:
• $(1 \times 0) + (0 \times 0) + (0 \times 1) = 0$
• $(1 \times 0) + (0 \times 1) + (0 \times 0) = 0$
• $(1 \times 1) + (0 \times 0) + (0 \times 0) = 1$
2. Conclusion:
The resulting matrix is:
$$A^2 = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} = I$$
Since $A \cdot A = I$, by definition of an inverse matrix, $A^{-1} = A$.