The given matrix \( A \) is: \(A = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 3 & 2 & 1 \end{bmatrix}\)
Notice that \( A \) is a lower triangular matrix, which means the diagonal elements (1, 1, and 1) are the main focus for determining the powers of the matrix.
To find \( A^{100} \), we need to analyze what happens when we multiply the matrix \( A \) by itself repeatedly. The key observation is: \(\begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ x & y & 1 \end{bmatrix}^n = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ n \cdot x & n \cdot y & 1 \end{bmatrix}\)
This pattern arises because:
The multiplication of the upper-left 2x2 identity block with itself results in an identity block.
The bottom row, when multiplied with the matrix, adds multiples of the rows above it to its current values. If we expand this multiplication multiple times, the bottom-row elements accumulate by the number of multiplications.