Linear Transformations
Def: Linear Transformation
If V and W are vector spaces, a function T: V
if
Proposition: if T is linear then:
- T(
)= - If
and then:
Thm: Linear Extension
Suppose
Def: Kernel
Def: Image
Im(
Thm: Kernel and Image are subspaces
Thm: Injective if ket(T)=
maps linearly independent vectors to linearly independent vectors
if no basis is in the kernel then it is injective
Thm: im(T) = span(T(basis of pre-image))
Suppose
If
Def: Rank and Nullspace of T
If
- rank is rank(T) = dim(im(T))
- nullity is nullity(T)=dim(ker(T))
Thm: Rank-Nullity
If
pf. define a basis for the image and a map from the pre-image to that basis. Define a basis for the kernel. Show the elements that map to the basis of the image and also the basis of the kernel form a basis for V.
Corollary from Rank-Nullity
If T: V