Large Deviation Principle of Multidimensional Multiple Averages on $\mathbb{N}^d$
Probability
2021-06-21 v1 Dynamical Systems
Abstract
This paper establishs the large deviation principle (LDP) for multiple averages on . We extend the previous work of [Carinci et al., Indag. Math. 2012] to multidimensional lattice for . The same technique is also applicable to the weighted multiple average launched by Fan [Fan, Adv. Math. 2021]. Finally, the boundary conditions are imposed to the multiple sum and explicit formulae of the energy functions with respect to the boundary conditions are obtained.
Keywords
Cite
@article{arxiv.2106.09860,
title = {Large Deviation Principle of Multidimensional Multiple Averages on $\mathbb{N}^d$},
author = {Jung-Chao Ban and Wen-Guei Hu and Guan-Yu Lai},
journal= {arXiv preprint arXiv:2106.09860},
year = {2021}
}