Across
- 2. Not inner or dot product.
- 4. The __________ of a matrix is a scalar that tells us whether or not the matrix is invertible.
- 7. A linear _____________ from a vector space V to a vector space W is a mapping.
- 10. Typically described as the "image" of T:U-->V. Also the term "onto" is an indicator of this.
- 11. The ________ product is an operation that assigns a real number (to vectors u and v)to each pair of vectors
Down
- 1. Unique description for a linear transformation is one-to-one and onto.
- 3. We call a matrix orthogonal if its columns have these types of sets.
- 5. greek letter associated with eigenvalues
- 6. This operation is when EVERYTHING is reduced in a matrix to a bunch of 1's and 0's.
- 8. The matrix you received when you multiply matrix A and its inverse together.
- 9. Typically used to determine if the linear transformation is one-to-one.
- 12. _____ + nullity = col(A)
