The correct answer is $\boxed{\text{A}}$.
The eigenvalues of a matrix are the roots of its characteristic polynomial. The characteristic polynomial of a 2×2 matrix can be written as:
$$p(x) = |A – xI|$$
where $A$ is the matrix and $I$ is the identity matrix.
In this case, we have:
$$p(x) = | \begin{array}{cc} 4 & 2 \ 1 & 3 \end{array} – x \begin{array}{cc} 1 & 0 \ 0 & 1 \end{array} | = x^2 – 7x + 10$$
The eigenvalues of $A$ are the roots of $p(x)$, which are $x = 3$ and $x = 4$. Therefore, the lowest eigenvalue of $A$ is $\boxed{3}$.
To explain each option in brief:
- Option A: $1$ is not an eigenvalue of $A$. This can be verified by substituting $x = 1$ into the characteristic polynomial $p(x)$ and evaluating.
- Option B: $2$ is an eigenvalue of $A$. This can be verified by substituting $x = 2$ into the characteristic polynomial $p(x)$ and evaluating.
- Option C: $3$ is an eigenvalue of $A$. This has already been explained above.
- Option D: $5$ is not an eigenvalue of $A$. This can be verified by substituting $x = 5$ into the characteristic polynomial $p(x)$ and evaluating.