The eigenvalues of a matrix \( A \) are found by solving the characteristic equation:
\[
\det(A - \lambda I) = 0
\]
where \( \lambda \) is the eigenvalue and \( I \) is the identity matrix.
For the given matrix \( A \):
\[
A - \lambda I =
\begin{bmatrix}
2 - \lambda & 3 \\
1 & 2 - \lambda
\end{bmatrix}
\]
Now, calculate the determinant:
\[
\det(A - \lambda I) = (2 - \lambda)(2 - \lambda) - 3 \times 1
\]
\[
= (2 - \lambda)^2 - 3
\]
\[
= 4 - 4\lambda + \lambda^2 - 3
\]
\[
= \lambda^2 - 4\lambda + 1
\]
Set the determinant equal to zero:
\[
\lambda^2 - 4\lambda + 1 = 0
\]
Solve using the quadratic formula:
\[
\lambda = \frac{4 \pm \sqrt{16 - 4}}{2}
\]
\[
\lambda = \frac{4 \pm \sqrt{12}}{2}
\]
\[
\lambda = \frac{4 \pm 3.464}{2}
\]
Thus, the eigenvalues are:
\[
\lambda_1 = 3.73, \quad \lambda_2 = 0.27
\]
Therefore, the second eigenvalue is 3.73.