Lecture
This lecture covers the equivalence of different conditions for a matrix A to be orthogonal in the usual Euclidean space. These conditions include properties related to the norm of the product of A and a vector, the inner product of the product of A with two vectors, the transpose of A, and the determinant of A. Examples of orthogonal matrices and rotations are provided to illustrate the concepts.