AI Features

Verifying Linear Independence

Learn to verify if given vectors are linearly independent, and if not, find the relationship between the dependent vectors.

Linear dependence

We defined linear dependence as a collection with linearly dependent vectors if, given a collection of vectors x1,x2,,xn\bold x_1, \bold x_2, \cdots, \bold x_n, there exists a combination of scalars w1,w2,,wnw_1,w_2,\cdots,w_n with at least one nonzero value such that

w1x1+w2x2+...+wnxn=0w_1\bold{x_1}+w_2\bold{x_2}+...+w_n\bold{x_n}=\bold{0}

There could be infinitely many possible linear combinations, and it’s not possible to check them one by one. We’ve already discussed a few special cases and tricks to check for linear dependence in a combination. This lesson will use elimination as a formal method to solve the vector equation and find the possible combinations.

Procedure

Our goal is to find the combination of scalars w1,w2,,wnw_1,w_2,\cdots,w_n, such that

w1x1+w2x2+...+wnxn=0w_1\bold{x_1}+w_2\bold{x_2}+...+w_n\bold{x_n}=\bold{0} ...

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