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Suppose $A$ and $B$ are symmatric matrices: $A,B \in S^n$. Let $Y=A+B$.

What is the relationship between eigenvalues of $Y$ and eigenvalues of $A$ and $B$?

Or,

Does any nonsingular matrix $P$ exist such that $P^{-1}AP$ and $P^{-1}BP$ are diagonal matrices in the same time?


Maybe I'm in the wrong direction. What I need to show in process of my homework problem is: Suppose $A$ and $B$ are positive semidefinite matrices: $A,B \in S^n_+$. And $Tr(A+B)=1$.

Let $Y=A-B$. I'm trying to show that ${\parallel Y \parallel}_{2*} \leq 1$.

${\parallel Y \parallel}_{2*} = \sum\limits_{i = 1}^n {|{\lambda _i}(Y)|}$ is the summation of the absoluate values of the eigenvalues of $Y$.

zxzx179
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Assuming you know $\|\cdot\|_{2*}$ is a matrix norm (which it turns out to be after a bit of researching, though I wouldnt know how to prove it right now), it can be shown as follows: First remark that for positive semidefinite matrices $P$ we have $\|P\|_{2*} = \mathrm{tr}(P)$. This holds because the eigenvalues of positive semidefinite matrices are nonnegative and because for symmetric matrices, the trace is equal to the sum of the eigenvalues. Then we have

$$ \|A-B\|_{2*} \leq \|A\|_{2*} + \|B\|_{2*} = \mathrm{tr}(A) + \mathrm{tr}(B) = \mathrm{tr}(A+B) = 1 $$

user159517
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