According to the property of singular value decomposition , it is always possible to decompose a real matrix a into $$ a
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According to the property of Singular Value Decomposition , It is always possible to decompose a real matrix A into A = . This is a true statement. As, Suppose A is a matrix, whose entries come from the field K, where K is either field of real or complex numbers.
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Singular Value Decomposition (SVD) is another type of decomposition. Unlike eigendecomposition where the matrix you want to decompose has to be a square matrix, SVD allows you to decompose a rectangular matrix (a matrix that has different numbers of rows and columns). ... And the middle matrix is a diagonal matrix.
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