A set of vectors cannot be considered a subspace if it does not include the zero vector. This is because a subspace must be closed under addition and scalar multiplication, which necessitates the presence of the zero vector. For any vector v in the subspace, its negative -v must also be included, leading to the conclusion that v + (-v) = 0 must exist within the subspace. While some textbooks define a subspace as simply being non-empty, the inclusion of the zero vector is essential for it to meet the criteria of a subspace. Therefore, the zero vector is a fundamental requirement for any valid subspace.