Applied Mathematics 1411A/B Chapter Notes - Chapter 4.3.3: Linear Independence, Wronskian

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Well they made that concept into a theorum! Let s = {v1, v2, , vr} be a set of vectors in rn. If r > n, the s is linearly dependent. Thus that means that if s = {v1, v2, , vr} is a set of vectors in any coordinate plane If r>n, then at least one vector can be represented as a linear combination of the other ones. So in english, this shows that a set in r2 with more than two vectors is linearly dependent. A set of vectors in r3 with more than three vectors is linearly dependent. This keeps going all thr way through rn (r with a an arbitrary number of coordinate directions. An arbitrary amount unit vectors who are all linear dependent ;) ) Recall: a set of vectors in linearly dependent if one or more of the vectors can be expressed as linear combinations of other vectors in the set.

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