Axioms (Vector Space)

Axioms (Vector Space)

Updated: October 26, 2020
Linear-Algebra Math

To qualify as a vector space, a set V and its associated operations of addition (+) and multiplication/scaling () must adhere to the below:

Associativity #

u+(v+w)=(u+v)+w

Commutivity #

u+v=v+u

Identity of Addition #

There exists and element 0V, called the zero vector, such that v+0=v for all vV.

Inverse of Addition #

For every vV, there exists an element vV, such that v+(v)=0.

Compatibility #

a(bv)=(ab)v

Scalar/Multiplication Identify #

1v=v

where 1 denotes the scalar identity

Distributivity #

a(u+v)=au+av