A set of vectors is linearly independent if no vector in the set can be expressed as a linear combination of the other vectors. For example, the vectors are linearly independent. If vectors are linearly independent, they form the basis for a vector space. If the zero vector is in a set of vectors, they cannot be linearly independent, since zero times any vector is the zero vector.