Global fluctuations in general [beta] Dyson's Brownian motion
We consider a system of diffusing particles on the real line in a quadratic external potential and with a logarithmic interaction potential. The empirical measure process is known to converge weakly to a deterministic measure-valued process as the number of particles tends to infinity. Provided the initial fluctuations are small, the rescaled linear statistics of the empirical measure process converge in distribution to a Gaussian limit for sufficiently smooth test functions. For a large class of analytic test functions, we derive explicit general formulae for the mean and covariance in this central limit theorem by analyzing a partial differential equation characterizing the limiting fluctuations.
Year of publication: |
2008
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Authors: | Bender, Martin |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 118.2008, 6, p. 1022-1042
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Publisher: |
Elsevier |
Keywords: | Central limit theorem Dyson's Brownian motion Interacting diffusion Random matrices |
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