Find all matrices $A \in M_{2x2}(\mathbb{R})$ such that $A^3=I$ and $A \not = I$ Or prove they don’t exist.
In the case of replacing the cube with a square there are many examples such as:
$$-I$$
$$\left[\begin{matrix} 0 & 1 \\ 1 & 0 \\\end{matrix}\right]$$
And (probably) many more.
The equation can be rephrased as:
$$A^3 - I = 0$$
It can be factorized into:
$$(A^2+A+1)(A-1)=0$$
But, in the ring of matrices there are 0 divisors so it isn’t much help.
Can any of you help me?
things I do know: $\det(A)=1$
$A$ is not diagnalizeable.
Proof:
Assume $A= P^{-1}MP$
$$A^3 = P^{-1} M^3 P= I$$
$$M^3 P = P$$
$$M^3 = I$$
Since $I$ is the only diagonal matrix satisfying that equation:
$$M= I$$
$$P^{-1}IP= A$$
$$A=I$$
Contradiction!
Because it is non-diagnalizeable we can say that it has one eigenvector with eigenvalue 1.
There is an infinity of real solution.
$A$ is diagonalizable over $\mathbb{C}$. Indeed $(x^2+x+1)(x-1)$ has only simple roots.
$A^2+A+I_2=0_2$. Indeed, the eigenvalues of $A$ are conjugate or real. Thus, $\chi_A$, the characteristic polynomial of $A$, is $(x-1)^2$ or $x^2+x+1$; it's not $(x-1)^2$ because $A\not= I$ and $A$ is diagonalizable. By Cayley Hamilton, $A^2+A+I_2=0_2$.
The set of solutions is $\{PCP^{-1};P\in GL(\mathbb{R}^2)\}$, where $C=\begin{pmatrix}0&-1\\1&-1\end{pmatrix}$. Indeed, $spectrum(A)=spectrum(C)=\{j,j^2\}$, where $j=e^{2i\pi/3}$. Then $A,C$ are both similar over $\mathbb{C}$ to $diag(j,j^2)$, ; thus $A$ is similar to $C$ over $\mathbb{R}$. Conversely, if $A$ is similar to $C$, then $A^3=I_2$.
In other words, the set of solutions is $\{\begin{pmatrix}a&b\\c&d\end{pmatrix};a,b,c,d\in\mathbb{R},a+d=-1,ad-bc=1\}$. This set depends on $2$ real parameters.