This lecture covers the concept of orthogonal sets and bases, where vectors are considered orthogonal if their dot product is zero. It explains how to determine if a set of vectors is orthogonal and how to find the orthogonal complement of a subspace. The lecture also discusses the properties of orthogonal bases and proves that an orthogonal set of non-zero vectors is linearly independent.
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