Let $A $ and $ B $ be symmetric matrices. Can we say something about the eigenvalues of the matrix product $AB$ when $A \preceq B$ in the sense that $ A-B $ is positive semidefinite? Can we conclude maybe that $$ \lambda_{\max}(AB) \leq 1 $$
where $ \lambda_{\max} $ is the largest eigenvalue? If so, how?
We don't assume that $ A $ and $ B $ commute. In this case, they should be simultaneously diagonalizable since they are both symmetric.
Correction of what I wrote: $ A\leqslant B $ means $ B-A $ is semi-definite positive. And I also made an error of what I'm searching: I want to know if there is result on $ \lambda_{\max}(B^{-1}A) $, e.g. $\lambda_{\max}(B^{-1}A) \leq 1 $ (we assume that $ B $ and $ A $ are invertible)