SUMMARY
The basis for the nullspace of the matrix
[ 2 3 1]
[ 5 2 1]
[ 1 7 2]
[ 6 -2 0] is determined by solving the equation Ax = 0, where A is the coefficient matrix. The resulting equations simplify to y = 3x and z = -11x, leading to the conclusion that the nullspace can be expressed as the span of the vector <1, 3, -11>. This indicates that the nullspace is one-dimensional, represented by all scalar multiples of this vector.
PREREQUISITES
- Understanding of linear algebra concepts, specifically nullspace and kernel.
- Familiarity with matrix notation and operations.
- Ability to solve systems of linear equations.
- Knowledge of vector spaces and linear independence.
NEXT STEPS
- Study the concept of vector spaces in linear algebra.
- Learn about solving systems of linear equations using Gaussian elimination.
- Explore the properties of linear independence and spanning sets.
- Investigate the relationship between nullspace and rank-nullity theorem.
USEFUL FOR
Students of linear algebra, mathematicians, and anyone involved in solving systems of equations or studying vector spaces will benefit from this discussion.