9. Linear Transformations 2 Flashcards
Kernal of F Linear Transformation
Let T:V->W, the kernel of T is the set of all vectors in V that are mapped by T to 0 in W.
Range of F Linear Transformation
The range is the set of all vectors in W that are images of vectors in V under T
Properties of Range and Kernal for Transformations
The Kernel is a subspace of V where the range is a subspace of W.
Rank of Transformation
The dimension of range
Nullity of Transformation
Dimension of Kernel
Rank-Nullity Theorem
rank(T) + nullity(T) = dim(V)
Injective Linear Transformation
Ker(T)=0
Invertible Linear Transformation
Only if it is bijective
Isomorphic Linear Transformation
Only if it is bijective
If Dim(V)=Dim(W)
The two linear transformations are isomorphic to each other.
Matrix for Linear Transformations
Every linear transformation between finite dimensional vector spaces can be shown as a matrix