SUMMARY
The rank of the matrix A, defined as the maximal number of linearly independent rows or columns, is determined to be 3. The row-reduced form of A is given as {[1 0 0 0], [0 1 0 -1/3], [0 0 1 0]}, indicating three linearly independent rows. The second and fourth columns are dependent, confirming that the rank cannot exceed 3. Therefore, the rank of matrix A is conclusively 3.
PREREQUISITES
- Understanding of linear independence in vector spaces
- Familiarity with row reduction techniques in linear algebra
- Knowledge of matrix rank definitions and properties
- Basic proficiency in manipulating matrices
NEXT STEPS
- Study the concept of linear independence in greater depth
- Learn advanced row reduction techniques for larger matrices
- Explore the implications of rank in linear transformations
- Investigate applications of matrix rank in solving systems of equations
USEFUL FOR
Students of linear algebra, educators teaching matrix theory, and anyone seeking to deepen their understanding of matrix rank and linear independence.