For a vector subspace , the quotient vector space consists of cosets , with vector operations induced from .
The quotient map of vector spaces sends a vector to its coset , where is a linear subspace. It is a surjective linear map with kernel : two vectors have the same image exactly when their difference lies in .
For and , the quotient retains only the second coordinate, so every horizontal line represents one quotient vector. More generally, a linear map vanishing on factors uniquely as . The formula is well defined because changing the representative by an element of leaves its value unchanged.
For a linear map and an invariant subspace , the rule defines a linear map on the quotient vector space . Indeed, two representatives differ by an element of , so their images also differ by an element of . Conversely, this rule is well-defined only if , by comparing every with zero.
For a vector subspace of , its codimension is the dimension of the quotient vector space . This definition also applies when is infinite-dimensional. If is a direct sum, the map is a linear isomorphism from to , so . In particular, the kernel of a nonzero linear functional has codimension one: normalize and write .
For fixed , the parallel affine lines are precisely the cosets of the indicated quotient vector space. Changing representatives adds a multiple of , so and are well-defined. The zero is the whole line , not a single point. If is a basis, the two line classes form a basis of the quotient by spanning and independence modulo .

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