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Let $M_S$ be a symmetric and negative definite matrix and $M_A$ be an anti-symmetric matrix, both in $\mathbb{R}^{n\times n}$. The eigenvalues of $M_S$ lie in the negative part of the complex plane, while the eigenvalues of $M_A$ are found on the imaginary axis.

I'm interested in bounds for the eigenvalues of $M=M_S+M_A.$

Specifically, I want to know if we can say that the eigenvalues of $M$ will lie in the negative half of the complex plane. I thought this to be likely since $$\mathrm{tr}(M)= \mathrm{tr}(M_S)+\mathrm{tr}(M_A)=\mathrm{tr}(M_S),$$ i.e. it doesn't depend on $M_A,$ but I don't know how to prove it.

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To summarize the discussion in the comments:

It is true that the eigenvalues of $M$ must lie in the left half of the complex plane because the symmetric matrix $M + M^T = 2M_S$ is negative definite. The fact that $M + M^T$ is negative definite implies that $M$ has eigenvalues with negative real part is explained in this question/answer.

Ben Grossmann
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