The dual space is
the vector space of linear functionals on . If is a basis of a finite-dimensional , define . Every has the unique expansion
so the dual basis proves
For , its annihilator of a vector subspace is
If is a basis of and is extended to a basis of , then
Consequently
If , this dimension is positive, giving a nonzero functional that vanishes on .
For a linear map , the dual map is
Now
so
Every vanishes on , hence
The two spaces have the same dimension, since
Thus
Let be the quotient map. Since is onto, is injective, and the preceding identity gives
Therefore
For the inclusion , the map is restriction to . It is onto and has kernel
The first isomorphism theorem now gives the other duals of a subspace and its quotient: