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S Dec 29, 2015 at 19:18 history suggested Marcel CC BY-SA 3.0
Deleted information unrelated to the question and improved style
Dec 29, 2015 at 18:31 vote accept Xingdong Zuo
Dec 29, 2015 at 18:14 review Suggested edits
S Dec 29, 2015 at 19:18
Dec 29, 2015 at 18:11 answer added Marcel timeline score: 1
Dec 29, 2015 at 17:22 comment added Marcel @XingdongZuo Almost. You should exchange $E\left[\frac{1}{N}\sum_\lambda f(\lambda)\right]$ for $\int d^2\lambda \rho(\lambda)f(\lambda)$. This is the meaning of a probability density.
Dec 29, 2015 at 17:11 comment added Xingdong Zuo @Marcel If I understand you correctly, should it be $\frac{1}{N}\mathrm{E}\big[ \sum_\lambda\frac{1}{\omega - \lambda} \big] = \frac{1}{N}\sum_\lambda \int d^2\lambda \frac{\rho(\lambda)}{\omega - \lambda} = \frac{1}{N}N\int d^2\lambda \frac{\rho(\lambda)}{\omega - \lambda} = \int d^2\lambda \frac{\rho(\lambda)}{\omega - \lambda}$
Dec 29, 2015 at 17:04 comment added Marcel Which equality are you asking about? The last one just follows from the definition of spectral density $\rho(\lambda)$. From your comment, it seems you are confused with the notation $d^2\lambda$. This is not a double sum over $\lambda$; it only means the integral is over the complex plane.
Dec 29, 2015 at 16:14 comment added Xingdong Zuo @CarloBeenakker Is it possible to reason as $\frac{1}{N}\mathrm{E}\big[ \sum_\lambda\frac{1}{\omega - \lambda} \big] = \frac{1}{N}\sum_\lambda(\sum_\lambda\frac{1}{\omega - \lambda})\rho(\lambda) = \frac{1}{N} \sum_{\lambda^2}\frac{1}{\omega - \lambda}\rho(\lambda) = \frac{1}{N}\int d^2\lambda \frac{\rho(\lambda)}{\omega - \lambda}$, now only $\frac{1}{N}$ is still left to be canceled
Dec 29, 2015 at 15:58 comment added Carlo Beenakker you need to give $\omega$ an infinitesimal imaginary part and then the imaginary part of the expectation value will pick up the eigenvalues of $J$
Dec 29, 2015 at 15:03 history asked Xingdong Zuo CC BY-SA 3.0