$T$ has no eigenvalues

Question

Is the following Proof Correct?

Given that $T\in\mathcal{L}(\mathbf{R}^2)$ defined by $T(x,y) = (-3y,x)$. $T$ has no eigenvalues.

Proof. Let $\sigma_T$ denote the set of all eigenvalues of $T$ and assume that $\sigma_T\neq\varnothing$ then for some $\lambda\in\sigma_T$ we have $T(x,y) = \lambda(x,y) = (-3y,x)$ where $(x,y)\neq (0,0)$, equivalently $\lambda x = -3y\text{ and }\lambda y = x$. but then $\lambda(\lambda y) = -3y$ equivalently $y(\lambda^2+3) = 0$. The equation $\lambda^2+3 = 0$ has no solutions in $\mathbf{R}$ consequently $y=0$ and then by equation $\lambda y = x$ it follows that $x=0$ thus $(x,y) = (0,0)$ contradicting the fact that $(x,y)\neq (0,0)$.

$\blacksquare$

Answer 1

Another approach:

The matrix representation of $T$ w.r.t. standard basis $\{(1,0),(0,1)\}$ of $\mathbb{R}^2$ is $A=\begin{pmatrix}0&-3\\1&0\end{pmatrix}$. So the characteristic equation $|A-\lambda I|=0 $ gives $\lambda^2+3=0$. Thus $T$ has no eigenvalues.

Answer 2

Proof looks correct to me. Though you could have also just added the case for $\lambda$ is zero since otherwise to multiply both sides by $0$ would reduce the solution set for $x$ and $y$.

$Edit:$ The case is not necessary as you are actually using substitution instead of multiplying both sides by $\lambda$.