Linear independence refers to a set of vectors in a vector space that cannot be expressed as a linear combination of each other. If a set of vectors is linearly independent, it means that none of the vectors can be written as a sum of multiples of the others, which is crucial for understanding the structure of vector spaces and their dimensions.
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