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I am trying to find the eigen values of a skew symmetric matrix.

So let $A$ be a skew symmetric matrix so $A^T$ = -$A$

Let $\lambda$ be an eigen value of $A$. So there exists a non-zero $x$ such that

$Ax$ = $\lambda$$x$

So $(Ax)^T$ = ($\lambda$$x$)$^T$

or $x^TA^T$ = $\lambda$$x$$^T$

or $x^TA^T$$x$ = $\lambda$$x$$^T$$x$

or $x^T(-A)$$x$ = $\lambda$$x$$^T$$x$

or $-x^T\lambda x$ = $\lambda$$x$$^Tx$

or $\lambda$ = -$\lambda$ (since $x$ is non-zero)

or $\lambda$ = $0$

I am not able to understand what is wrong in this.

Help, please!

PinkyWay
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Gitika
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1 Answers1

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This argument works if $\lambda$ is real. However, if $\lambda$ is complex, then $x$ will have complex entries, and this is the wrong formula for the inner product. In that cast, you will end up with $\lambda = -\overline \lambda$ which doesn’t imply that $\lambda = 0$ but rather that $\lambda$ has zero real part. For example, consider the matrix $$A = \begin{pmatrix} 0 & -1 \\ 1 & 0 \end{pmatrix}.$$ This matrix is skew-symmetric but none of the eigenvalues is zero.

User8128
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  • What formula will be wrong..I haven't even used any inner product thing..I just used the properties of matrices ..So how would I end up with $\lambda$ = -$\lambda$ – Gitika Jun 22 '20 at 13:00
  • The condition $x^Tx\neq 0$ is wrong. This is only correct in the real case, consider $x=(1,i)^T$. – Dietrich Burde Jun 22 '20 at 13:11
  • With complex vectors $x, y$, you cannot use the inner product $x^Ty$, but rather $\overline x^Ty$. Use the matrix I suggested as an example; if you find an eigenvector $x$, you’ll notice that $x^Tx =0$ because there are complex entries. – User8128 Jun 22 '20 at 13:12