Consider the matrix: \[ \begin{bmatrix} 1 & k \\ 2 & 1 \end{bmatrix}, \] where \(k\) is a positive real number. Which of the following vectors is/are eigenvector(s) of this matrix?
Step 1: Calculate eigenvalues.
For the given matrix:
\[
A =
\begin{bmatrix}
1 & k \\
2 & 1
\end{bmatrix}
\]
The characteristic equation is determined as:
\[
\det
\begin{bmatrix}
1 - \lambda & k \\
2 & 1 - \lambda
\end{bmatrix}
= 0
\]
Expanding the determinant:
\[
(1 - \lambda)^2 - 2k = 0
\]
Simplify to:
\[
\lambda^2 - 2\lambda - 2k + 1 = 0
\]
Solve for \(\lambda\):
\[
\lambda = 1 \pm \sqrt{2k}
\]
Step 2: Derive eigenvectors.
For eigenvalue \(\lambda_1 = 1 + \sqrt{2k}\):
\[
\begin{bmatrix}
1 - (1 + \sqrt{2k}) & k \\
2 & 1 - (1 + \sqrt{2k})
\end{bmatrix}
\begin{bmatrix}
x \\
y
\end{bmatrix}
= 0
\]
Simplify to find the ratio \(\frac{y}{x}\):
\[
y = \frac{\sqrt{2}}{k} x
\]
Thus, an eigenvector corresponding to \(\lambda_1\) is:
\[
\begin{bmatrix}
1 \\
\frac{\sqrt{2}}{k}
\end{bmatrix}
\]
For eigenvalue \(\lambda_2 = 1 - \sqrt{2k}\): \[ y = -\frac{\sqrt{2}}{k} x \] Thus, an eigenvector corresponding to \(\lambda_2\) is: \[ \begin{bmatrix} 1 \\ -\frac{\sqrt{2}}{k} \end{bmatrix} \] Therefore, the correct eigenvectors are option (1) and (2). Final Answer: \[ \boxed{(1), (2)} \]