A vector subspace is a nonempty subset of a vector space closed under vector addition and scalar multiplication, and is therefore itself a vector space. Equivalently, whenever belong to the subset, so does for all allowed scalars . In particular it contains the zero vector.
For example, the plane is a vector subspace, with basis . Indeed every element is . The parallel plane misses the zero vector and is an affine subspace instead. Homogeneous constraints produce vector subspaces: is the kernel of the linear map . This lets us describe all solutions of a homogeneous linear equation through a basis of its kernel.
New to topics? Read the docs here!