Spaces of vectors associated with a matrix
Here are a few examples of how you can use Maple to find the reduced row exhelon form of a matrix and to obtain bases in the Row space, Column space and Nullspace of a matrix.
| > | with(LinearAlgebra); |
| > | A:=Matrix([[1,4,5,6,9],[3,-2,1,4,-1],[-1,0,-1,-2,-1],[2,3,5,7,8]]); |
| > | ReducedRowEchelonForm(A); |
| > | NullSpace(A); |
| > | RowSpace(A); |
| > | ColumnSpace(A); |
You can also find the rank of the matrix, which is nothing but the common dimension of the row and column spaces of A.
| > | Rank(A); |
| > |