Could you elaborate a bit more about what you mean with original eigenvectors? They denote the direction hence you can scale them to any size anyways.
On Sat, Feb 25, 2023 at 5:38 PM <[email protected]> wrote: > Dear all, > > I am not an expert in NumPy but my undergraduate student is having some > issues with the way Numpy returns the normalized eigenvectors corresponding > to the eigenvalues. We do understand that an eigenvector is divided by the > norm to get the unit eigenvectors, however we do need the original vectors > for the purpose of my research. This has been a really frustrated > experience as NumPy returns the normalized vectors as a default. I > appreciate any suggestions of how to go about this issue. This seems to be > a outstanding issue from people using Numpy. > > Thanks > > LP > _______________________________________________ > NumPy-Discussion mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: [email protected] >
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