Linear Transformations
Let and be vector spaces over a field We call a function
a linear transformation from to if for all and all we have
- (a) and
- (b)
The first condition is called additivity and the second is called homogeniety.
Let and be vector spaces and let be linear.
We define the null space (also: kernel) of to be the set of all vectors such that that is,
We define the range of a linear transformation (also: image of a linear transformation) of to be the subset of consisting of all @images (under T) of vectors in that is,
Referenced by (2 direct)
Direct references:
Let and be vector spaces and let be linear. Then the null space and range of are @subspaces of and respectively.
Let and be vector spaces and let be linear. If is a @basis for then
Let and be vector spaces and let be linear. If and (null space and range of , respectively) are @finite dimensional, the we define the nullity of denoted and the rank of denoted to be the @dimensions of and respectively.
Let and be vector spaces and let be linear. If is @finite-dimensional, then