## Condition for Vectors to be Linearly Independent

A set of vectors is said to be linearly independent if none of the vectors can be expressed in terms of the others, so that no constants exist so that fr example, This is equivalents to there being no constants satisying If the set of vectors is not linearly independent, then it is linearly dependent.

In a space of dimension m, so that each vector has m components, the set of vectors will be linearly dependent if n&gt;m.

If the set of vectors may or may not be linearly independent.

If we can write the set of vectors as as square matrix. The vectors will then be linearly dependent if and only if the determinant of the matrix is zero. This is because one of the columns is a linear combination of the other columns, so column reduction would result in a column of zeros. Expanding along that columm would return a zero determinant. If the determinant is not zero, the set of vectors is linearly independent.

Example: Determine whether or not the vectors are linearly independent.

Writing the vectors as the columns of a matrix gives Then The vectors are linearly independent. 