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This lecture covers the concept of orthogonal matrices, emphasizing their properties and the relationship with eigenvalues. The instructor explains the conditions for a matrix to be orthogonal and the implications of this property on the eigenvalues. The lecture also delves into the significance of eigenvalues in the context of orthogonal matrices, highlighting their role in determining the orientation-preserving transformations. Various examples and applications are discussed to illustrate the theoretical concepts.