A subset of a vector space must include the zero vector of the larger space to qualify as a subspace due to the requirements of closure under addition and scalar multiplication. If a vector v is in the subspace, then its additive inverse -v must also be included, leading to the conclusion that the zero vector must be present. This ensures that there is a unique zero vector within the subspace, preventing inconsistencies that would arise from having multiple zero vectors. Without this condition, combining subspaces could lead to contradictions and discontinuities in the vector space. Therefore, the definition of a subspace inherently requires the inclusion of the zero vector from the original vector space.