SUMMARY
The derivation of the null space vector \(\begin{bmatrix}-\frac{4}{3} \\ \frac{1}{3} \\ 1\end{bmatrix}\) from the matrix \(A\) is confirmed through the reduced row echelon form \(A_{\text{rref}}=\begin{bmatrix}1 & 0 & \frac{4}{3} \\ 0 & 1 & -\frac{1}{3} \\ 0 & 0 & 0\end{bmatrix}\). The equations \(x + \frac{4}{3}z = 0\) and \(y - \frac{1}{3}z = 0\) lead to the solution vector, where any scalar multiple of \(\begin{bmatrix}-\frac{4}{3} \\ \frac{1}{3} \\ 1\end{bmatrix}\) represents the null space. An alternative representation using \(z = -3\) yields the vector \(\begin{bmatrix}4 \\ -1 \\ -3\end{bmatrix}\), demonstrating the flexibility in expressing null space solutions.
PREREQUISITES
- Understanding of linear algebra concepts, specifically null space and row reduction.
- Familiarity with reduced row echelon form (RREF) of matrices.
- Ability to solve systems of linear equations.
- Knowledge of vector representation in linear algebra.
NEXT STEPS
- Study the properties of null spaces in linear transformations.
- Learn about the implications of RREF in solving linear systems.
- Explore alternative methods for finding null spaces, such as using the rank-nullity theorem.
- Investigate the geometric interpretation of null spaces in vector spaces.
USEFUL FOR
Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to clarify concepts related to null spaces and matrix operations.