I'm working on a specific class of n-square matrices where the rank is n when n is even, and n-1 when n is odd and I would like to understand why.
numpy.linalg.rank was useful to notice this fact; however, to understand why it happens I would like to have a non-zero linear combination of my lines - or columns - that sum to all-zeros.
I checked how numpy.linalg.rank works and it seems that it won't work (or I did not understood what I read here)
I have no idea how do to that. Is this question too specific so that no existing function does that?
source https://stackoverflow.com/questions/71465038/rank-of-matrix-with-more-information-python
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