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This lecture covers the theorems related to orthogonal projection, including the uniqueness of the decomposition of a vector into orthogonal components, the best approximation of a vector in a subspace, and the properties of orthogonal matrices. The lecture also explains the geometric interpretation of the theorems and provides examples of orthonormal bases and matrix operations.