# What can we know about the eigenvalues of a reduced density matrix knowing the eigenvalues of the original matrix?

What information can we get out about the eigenvalues of a reduced density matrix knowing the eigenvalues of the original matrix?

For example, it can be proved that if all the eigenvalues of a density matrix are positive, then the eigenvalues of the reduced density matrix are positive too.

From here, it looks like knowing all the eigenvalues is a hard problem, but what information can we possibly obtain? Information about the determinant perhaps?

• I don't know much about this topic. Though, from a quick search, this seems relevant. Nov 2, 2019 at 20:54
• "What information can we get out about the eigenvalues of a reduced density matrix knowing the eigenvalues of the original matrix?" Do you mean knowing only the eigenvalues of $\rho$, but not its eigenvectors?
– glS
Nov 4, 2019 at 14:48
• @glS, yeah, just the eigenvalues I suppose. When you ask it that way, it seems like there is very little you can say. Nov 4, 2019 at 16:41
• @MahathiVempati on the contrary, I think it's a very interesting question. The answer is probably in the form of some statement about the entropies. biryani showed that going from maximally mixed to pure states you go from fully defined eigenvalues of $\rho^A$ to totally undefined eigenvalues of $\rho^A$ (except of course for a few basic requirements on the eigenvalues that are always satisfied). These statements can be seen as consequences of the subadditivity of the entropy: $S(\rho^A)\ge S(\rho)$. I don't know if this is the only thing that can be said about it though, I'll think about it
– glS
Nov 4, 2019 at 16:55