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This lecture covers the concept of orthogonal matrices and transformations in linear algebra, focusing on applications in Euclidean spaces and standard scalar products. It explains the properties of orthogonal transformations, such as preserving vector norms and angles, illustrated through examples of rotations, symmetries, and projections.