The correct answer is $\boxed{0}$.
To find the eigenvalues of a matrix, we can use the following formula:
$$\lambda = \frac{-b \pm \sqrt{b^2 – 4ac}}{2a}$$
where $a$, $b$, and $c$ are the coefficients of the characteristic polynomial of the matrix.
The characteristic polynomial of the matrix $A$ is given by:
$$p(x) = |xI – A| = x^5 – 15x^4 + 75x^3 – 125x^2 + 75x – 15$$
We can factor the characteristic polynomial as follows:
$$p(x) = (x – 1)(x – 5)(x – 3)(x – 2)(x – 1)$$
This means that the eigenvalues of $A$ are $1$, $5$, $3$, $2$, and $1$.
Since $A$ has only one real eigenvalue, the real eigenvalue of $A$ must be $1$.
Here is a brief explanation of each option:
- Option A: $-2.5$ is not an eigenvalue of $A$. This can be verified by substituting $x = -2.5$ into the characteristic polynomial $p(x)$.
- Option B: $0$ is an eigenvalue of $A$. This can be verified by substituting $x = 0$ into the characteristic polynomial $p(x)$.
- Option C: $15$ is not an eigenvalue of $A$. This can be verified by substituting $x = 15$ into the characteristic polynomial $p(x)$.
- Option D: $25$ is not an eigenvalue of $A$. This can be verified by substituting $x = 25$ into the characteristic polynomial $p(x)$.