Some textbooks include "contains the 0 vector" as part of the definition of "subspace".
Others just say "is non-empty". As DorianG pointed out, if some vector, v, is in the subspace, then so is -v (a subspace is "closed under scalar multiplication") and so is v+ (-v)= 0 (a subspace is "close under addition").