This lecture covers the concept of orthogonal projection in linear algebra, focusing on projecting vectors onto subspaces. It explains the process of orthogonalization using the Gram-Schmidt method to transform a non-orthogonal basis into an orthogonal one. The lecture also discusses the properties of orthogonal projections and their associated matrices, along with practical examples and exercises.
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