SUMMARY
The nullity of an nxn zero matrix is definitively n. The nullity is defined as the dimension of its nullspace, which consists of all vectors x in ℝ^n that satisfy the equation Ox=0. Since every vector in ℝ^n satisfies this equation for the zero matrix O, the nullspace is the entirety of ℝ^n, resulting in a nullity of n. In contrast, invertible matrices have a nullity of 0, highlighting the non-invertibility of the zero matrix.
PREREQUISITES
- Understanding of linear algebra concepts, specifically nullspace and nullity.
- Familiarity with matrix operations and definitions.
- Knowledge of vector spaces and their dimensions.
- Basic understanding of invertible matrices and their properties.
NEXT STEPS
- Study the properties of nullspaces in linear algebra.
- Learn about invertible matrices and conditions for invertibility.
- Explore the relationship between nullity and rank in matrices.
- Investigate applications of nullity in solving linear equations.
USEFUL FOR
Students and professionals in mathematics, particularly those studying linear algebra, as well as educators teaching matrix theory and its applications.