We are given the matrix equation \( M^2 = 2M + 3I \), where \( I \) is the identity matrix. We need to find the trace of the matrix \( M \). The trace of a matrix is the sum of its diagonal elements, and it is also equal to the sum of the eigenvalues of the matrix.
Step 1: Eigenvalue equation.
Let's assume that \( \lambda \) is an eigenvalue of the matrix \( M \). If \( M \) has an eigenvalue \( \lambda \), then for any eigenvector \( v \) corresponding to \( \lambda \), we have:
\[
M v = \lambda v
\]
Substitute into the given equation \( M^2 = 2M + 3I \):
\[
M^2 v = 2M v + 3I v
\]
\[
\lambda^2 v = 2 \lambda v + 3v
\]
Thus, the eigenvalue \( \lambda \) must satisfy the equation:
\[
\lambda^2 = 2 \lambda + 3
\]
Rearrange this to get:
\[
\lambda^2 - 2\lambda - 3 = 0
\]
This is a quadratic equation, and solving for \( \lambda \), we get:
\[
\lambda = \frac{-(-2) \pm \sqrt{(-2)^2 - 4(1)(-3)}}{2(1)} = \frac{2 \pm \sqrt{4 + 12}}{2} = \frac{2 \pm \sqrt{16}}{2} = \frac{2 \pm 4}{2}
\]
Thus, the eigenvalues are:
\[
\lambda = \frac{2 + 4}{2} = 3 \quad \text{or} \quad \lambda = \frac{2 - 4}{2} = -1
\]
Step 2: Use the determinant to find the eigenvalue multiplicities.
We are given that the determinant of \( M \) is \( -9 \). The determinant of a matrix is the product of its eigenvalues. Let the multiplicities of the eigenvalues \( 3 \) and \( -1 \) be \( m_3 \) and \( m_{-1} \), respectively. Since \( M \) is a \( 3 \times 3 \) matrix, the sum of the multiplicities must be 3:
\[
m_3 + m_{-1} = 3
\]
The determinant of \( M \) is the product of the eigenvalues raised to their multiplicities:
\[
\text{det}(M) = 3^{m_3} (-1)^{m_{-1}} = -9
\]
Thus, we have:
\[
3^{m_3} (-1)^{m_{-1}} = -9
\]
For \( m_3 = 2 \) and \( m_{-1} = 1 \), we get:
\[
3^2 (-1)^1 = 9 \times (-1) = -9
\]
So, \( m_3 = 2 \) and \( m_{-1} = 1 \).
Step 3: Compute the trace.
The trace of \( M \) is the sum of its eigenvalues, weighted by their multiplicities:
\[
\text{Tr}(M) = 3 \times 2 + (-1) \times 1 = 6 - 1 = 5
\]
Final Answer:
Thus, the trace of \( M \) is \( \boxed{5} \).