1. Compute the Rank of \( A \):
- Perform row reduction to bring \( A \) to its row echelon form:
\[
A =
\begin{pmatrix}
0 & 1 & 3 & 1 & 2 \\
1 & 6 & 2 & 3 & 4 \\
1 & 8 & 8 & 5 & 8
\end{pmatrix}.
\]
- Row reduce:
\[
\text{Subtract Row 2 from Row 3: } R_3 \to R_3 - R_2.
\]
\[
A =
\begin{pmatrix}
0 & 1 & 3 & 1 & 2 \\
1 & 6 & 2 & 3 & 4 \\
0 & 2 & 6 & 2 & 4
\end{pmatrix}.
\]
- Further row reduction shows that two rows are linearly independent, confirming:
\[
\text{Rank}(A) = 2.
\]
2. Augmented Matrix Analysis:
- Augment \( A \) with the column vector:
\[
\left[A \, | \, \begin{pmatrix} 3 \\ 1 \\ 10 \end{pmatrix}\right].
\]
- After row reduction, the last row of the augmented matrix leads to a contradiction, implying that the system is inconsistent.
3. Conclusion:
- The rank of \( A \) is 2, and the system has no solution.