Linearly independent vectors are a set of vectors in a vector space such that no vector in the set can be expressed as a linear combination of the others. This concept is crucial because it ensures that each vector adds a unique dimension to the space, which is essential for understanding solutions to linear systems in two and three dimensions. When vectors are linearly independent, they span the vector space without redundancy, making them important in defining bases for those spaces.
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