Let $$A=\begin {bmatrix} 1 & 3 & 1\\ 1 & 1 & -2\\ 1 & 2 & -1\\ \end{bmatrix} $$
I need to demonstrate this relation: $$\forall n \in \mathbb{N}, A^n \neq I_3$$ where $I_3$=identity matrix.
Let $$A=\begin {bmatrix} 1 & 3 & 1\\ 1 & 1 & -2\\ 1 & 2 & -1\\ \end{bmatrix} $$
I need to demonstrate this relation: $$\forall n \in \mathbb{N}, A^n \neq I_3$$ where $I_3$=identity matrix.
If you have seen eigenvalues, you know that if $\lambda$ is an eigenvalue of $A$, $\lambda^n$ is an eigenvalue of $A^n$. But all eigenvalues of $A$ are such that $|\lambda| \neq 1$ ($\lambda \approx 1.839$ and $\lambda \approx -0.420 \pm 0.606 i$), thus it is impossible, whatever $n$, to have $|\lambda|^n=1$ (the eigenvalue of $I_3$).
Proof using mathematical induction:
The base case: for $n=1$ we have $$A^1 = \begin {bmatrix} 1 & 3 & 1\\ 1 & 1 & -2\\ 1 & 2 & -1\\ \end{bmatrix}$$ So $A^1 \ne I$ is true for the base case.
Induction hypothesis: Assume that $A^n \ne I$ is a correct mathematical proposition and let proof that $A^{n+1} \ne I$ is also correct. $$A^{n+1}=A^{n}\cdot A$$ According to the base case we have $A \ne I$ and according to the induction hypothesis we have $A^n \ne I$ , so $$A^n\cdot A \ne I \cdot I$$ $$\Leftrightarrow A^{n+1} \ne I$$
Hence $A^{n+1} \ne I$ is true. So $$\forall n \in \mathbb{N}: A^n\ne I$$