SUMMARY
The discussion confirms that for an mxn matrix A and an invertible nxn matrix V, the image of A, denoted as im(A), is equal to the image of the product AV, denoted as im(AV). The proof involves demonstrating that any vector y in im(A) can be expressed as y = Ax, which can also be represented as y = AV(V-1x) for some x in Rn. Conversely, any vector in im(AV) can be shown to belong to im(A) by using the property that Vx is also in Rn. Thus, the conclusion is established that im(A) = im(AV).
PREREQUISITES
- Understanding of linear transformations and their properties
- Familiarity with the concept of the image of a matrix
- Knowledge of invertible matrices and their implications
- Basic proficiency in matrix multiplication and associative law
NEXT STEPS
- Study the properties of linear transformations in depth
- Learn about the implications of matrix invertibility in linear algebra
- Explore the concept of the span of vectors and its applications
- Investigate the relationship between matrix rank and image dimensions
USEFUL FOR
Students of linear algebra, mathematicians, and anyone involved in understanding matrix theory and linear transformations.