A linear mapping function
- Additivity:
. - Homogeneity:
.
Some mappings hold certain properties:
- Injective:
, . That is, no two elements of the domain map to the same element in the codomain. - Surjective:
. That is, the range equals the codomain . - Bijective:
is both injective and surjective. A linear mapping that's bijective is also called an isomorphism, which geometrically preserves structure.
For vector spaces
summarized as
To construct
where
Range and Null Spaces
The range space (also called image)
The null space (also called kernel)
In terms of mappings on vector spaces, we can think of the range space as all vectors that can be reached via 
Rank and Nullity
Rank is the dimension of
Intuitively, this is saying that the dimension of the input space
Affine Spaces and Mappings
Affine spaces, also known as linear manifolds, are spaces offset from the origin. Thus, they are no longer vector subspaces. Specifically, for vector space
Note that every element
for basis
Following a similar definition, an affine mapping