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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 Nd\mathbb{N}^d. We extend the previous work of [Carinci et al., Indag. Math. 2012] to multidimensional lattice Nd\mathbb{N}^d for d2d\geq 2. 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}
}
R2 v1 2026-06-24T03:20:30.989Z