When does the singular value decomposition fail?

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Does the singular value decomposition ever not work? The statement of the associated theorem, here from Wikipedia, is surprisingly general. Are there certain conditions of the matrix $M$ that would make the decomposition fail to exist? The matrix M in question is a random matrix that is point-wise convergent.

Thanks so much!

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Every real matrix has an SVD with real entries, every complex matrix has an SVD with complex entries. There are no further conditions.