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eyehategod
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I have to prove that any set of vectors containing the zero vector is linearly dependent.
How can I approach this?
How can I approach this?
Linear dependence means that one or more vectors in the set can be written as a linear combination of the other vectors in the set. In other words, one or more vectors in the set are redundant and do not add any new information.
Proving linear dependence allows us to determine if a set of vectors is a basis for a vector space. It also helps us identify if there are any redundant vectors in the set.
The zero vector is important because it is always linearly dependent with any set of vectors. If the zero vector is in the set, it automatically makes the set linearly dependent.
We can prove linear dependence by setting up a system of equations and solving for the coefficients of the linear combination of the vectors. If there are infinitely many solutions or if one of the coefficients is zero, then the set is linearly dependent.
Yes, a set of vectors can be linearly dependent without the zero vector. This means that there is a linear combination of the vectors that equals the zero vector without all of the coefficients being zero.