A limit theorem for quadratic fluctuations in symmetric simple exclusion
We consider quadratic fluctuations in the centered symmetric simple exclusion process in dimension d=1. Although the order of divergence of is known to be [epsilon]-3/2 if [epsilon][downwards arrow]0, the corresponding limit theorem was so far not explored. We now show that converges in law to a non-Gaussian singular functional of an infinite-dimensional Ornstein-Uhlenbeck process. Despite the singularity of the limiting functional we find enough structure to conclude that it is continuous but not a martingale in t. We remark that in symmetric exclusion in dimensions d>=3 the corresponding functional central limit theorem is known to produce Gaussian martingales in t. The case d=2 remains open.
Year of publication: |
2007
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Authors: | Assing, Sigurd |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 117.2007, 6, p. 766-790
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Publisher: |
Elsevier |
Keywords: | Exclusion process Ornstein-Uhlenbeck process Scaling limit Fluctuation field Gaussian analysis |
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