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10 Nov 2019
For the m à n matrix A, A-.ZyT denotes the Singular Value Decomposition (SVD) of A (u and V are orthogonal matrices and ? is diagonal, diagonal entries of ? are singular values of A). i. If A-1exists, what is its SVD? 11. For square A show that detA = ± det D. ii Show that the columns of V are eigenvectors of ATA. What are the corresponding eigenval- ues? Linear Algebra problem. Please answer all questions. I will give thumb up thank you!
For the m à n matrix A, A-.ZyT denotes the Singular Value Decomposition (SVD) of A (u and V are orthogonal matrices and ? is diagonal, diagonal entries of ? are singular values of A). i. If A-1exists, what is its SVD? 11. For square A show that detA = ± det D. ii Show that the columns of V are eigenvectors of ATA. What are the corresponding eigenval- ues? Linear Algebra problem. Please answer all questions. I will give thumb up thank you!