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This lecture covers the definition of subspaces in vector spaces, the conditions for a subset to be a subspace, and the concept of bases. It also discusses linear independence, canonical bases, and the dimension of vector spaces. The lecture concludes with theorems and propositions related to linear dependence, dimensionality, and bases in vector spaces.
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