SUMMARY
A linear map T: Rn -> Rm is proven to be one-to-one by employing the rank-nullity theorem and the concept of linear independence. The proof involves finding a basis of $\mathbb{R}^n$, specifically the columns of the identity matrix $I_n$, and demonstrating that the image of this basis under T cannot be linearly independent in $\mathbb{R}^m$. This leads to the conclusion that if the dimension of the image of T equals n, it contradicts the condition m < n, thereby confirming that T cannot be one-to-one.
PREREQUISITES
- Understanding of linear maps and their properties
- Familiarity with the rank-nullity theorem
- Knowledge of linear independence and basis in vector spaces
- Basic concepts of dimensions in linear algebra
NEXT STEPS
- Study the rank-nullity theorem in detail
- Explore linear independence and its implications in vector spaces
- Learn about the properties of linear transformations
- Investigate the relationship between dimensions of vector spaces
USEFUL FOR
Students and professionals in mathematics, particularly those studying linear algebra, as well as educators looking to enhance their understanding of linear maps and their properties.