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This lecture covers the concept of orthogonal families in R^n, proving that such families are linearly independent. It also introduces the notion of orthonormal bases, where vectors are both orthogonal and unitary. The lecture further discusses projections, including orthogonal projections and their applications in matrix operations.
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