SUMMARY
A set of 6 vectors in R5 cannot be a basis for R5 because it is linearly dependent. A basis must consist of linearly independent vectors that span the space, and since the dimension of R5 is 5, any set of vectors exceeding this dimension will inherently be dependent. Therefore, the statement is true, confirming that a basis cannot have more vectors than the dimension of the space it spans.
PREREQUISITES
- Understanding of vector spaces and their dimensions
- Knowledge of linear independence and dependence
- Familiarity with the concept of spanning sets
- Basic principles of linear algebra
NEXT STEPS
- Study the properties of vector spaces in linear algebra
- Learn about linear independence and dependence in detail
- Explore the concept of spanning sets and their implications
- Investigate the relationship between dimensions and bases in vector spaces
USEFUL FOR
Students of linear algebra, educators teaching vector space concepts, and anyone seeking to deepen their understanding of the properties of bases in finite-dimensional vector spaces.