| 1. | |
Basis and Dimension | You will look at spanning sets (in a vector space) that both are linearly independent and span the entire space. Such a set forms a basis for the vector space. (The plural of basis is bases.) |  |
| 2. | |
Eigenvalues and Eigenvectors | you will consider a geometric interpretation of the problem in If is an eigenvalue of a matrix and is an eigenvector of corresponding to then multiplication of by the matrix produces a vector that is parallel to as shown | |
대구광역시 동구 동내로 64(동내동 1119) 우)41061
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