I understand how to perform SVD calculations, but am having difficulty with some of the theory. Specifically, if singular values are invariant when the original matrix is run through a similarity transformation. I know the eigenvalues are preserved, and have a feeling the singular values are not, but cannot find any resources on how to prove or disprove this.
Thank you in advance for any pointers or suggested resources for me to investigate.