## Difference between reduced and full SVD

Consider a matrix $A \in\mathbb{C}^{m{\times}n}$ with $m > n$. The difference between the reduced and the full SVD of $A$ is that , for the full SVD:
(a) the matrices of left and right singular vectors are Hermitian
(b) the matrices of left and right singular vectors are unitary
(c) the matrix on singular values is square
(d) the matrix of singular values is upper triangular

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