Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1156320 | Stochastic Processes and their Applications | 2008 | 21 Pages |
Abstract
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.
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Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Martin Bender,