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Let $A \in M_n(\mathbb{R})$ is a antisymmetric matrix such as $A^T=-A$. Prove that $\operatorname{Trace}(A^2) \le 0 $

I see that, for some matrix such as, their terms in diagonal are negative ?

Surb
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Road Human
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  • I think this is wrong... Because if $\lambda_1,\ldots,\lambda_n$ are the eigenvalues of $A$ (listed according to their algebraic multiplicities) then $\operatorname{Tr}(A^2)=\sum_{k=1}^n \lambda_k^2 \geq 0$. See http://en.wikipedia.org/wiki/Trace_(linear_algebra)#Eigenvalue_relationships – Surb Jan 07 '15 at 08:11
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    if $\lambda=i$ then $i^2=-1$ – Road Human Jan 07 '15 at 08:12
  • @RoadHuman This is a good point :) – Surb Jan 07 '15 at 08:13

6 Answers6

8

There are no doubt more sophisticated approaches, but every diagonal element of $A^2$ is obtained as $R_i\cdot C_i$ where $R_i$ and $C_i$ are row and column $i$ of $A$. Since $A$ is anti-symmetric one has $R_i=-C_i^T$, so $R_i\cdot C_i\leq0$ for each$~i$. With all diagonal elements of $A^2$ nonpositive, its trace certainly is so as well.

6

Multiply both sides of your equality by $A$, you get

$$AA^T=-A^2$$

but then $AA^T$ is positive definite, so $-AA^T=A^2$ is negative semi-definite, hence its trace is negative.

Adam Hughes
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Another approach:

Let $e_i, \; 1\leq i \leq n$ be the standard basis of $\mathbb{R}^n$ (or any orthonormal basis), then

$$\text{tr}(A^2) = \sum_{i=1}^n \langle A^2e_i, e_i \rangle = \sum_{i=1}^n \langle Ae_i, A^Te_i \rangle =-\sum_{i=1}^n \|Ae_i \|^2 \leq 0$$

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Without revealing too much: rewrite $A^2$ using the equality that's been given. Then take a closer look at the diagonal elements, now that you have written the matrix square in a new way.

anon
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Let $\lambda$ be an eigenvalue of $A$. Then using inner product we get $$\langle Av, Av\rangle=\langle \lambda v, \lambda v\rangle=\bar{\lambda} \lambda.$$ On the other hand $$\langle Av, Av\rangle =\bar{\lambda}\langle Av, v\rangle= \bar{\lambda}\langle v, A^t v\rangle=\bar{\lambda}\langle v, -A v\rangle= -\bar{\lambda} \bar{\lambda}\langle v, v\rangle.$$ Therefore $$\bar{\lambda} \lambda=-\bar{\lambda}\bar{\lambda}.$$ Now either $\lambda=0$ or by dividing by $\bar{\lambda}$ we get $\lambda=-\bar{\lambda}$. Either way we get that all eigenvalues are with real part zero and the result follows.

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Start with the Frobenius norm of A:

$$ \left\lVert A \right\rVert_F^2= \mathrm{Tr}(A^TA)=\mathrm{Tr}(-AA)=\mathrm{Tr}(-A^2)=-\mathrm{Tr}(A^2)\geq 0 \Leftrightarrow \mathrm{Tr}(A^2) \leq 0 $$

eager2learn
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