English

Stein Type Characterization for $G$-normal Distributions

Probability 2016-03-16 v1

Abstract

In this article, we provide a Stein type characterization for GG-normal distributions: Let N[φ]=maxμΘμ[φ], φCb,Lip(R),\mathcal{N}[\varphi]=\max_{\mu\in\Theta}\mu[\varphi],\ \varphi\in C_{b,Lip}(\mathbb{R}), be a sublinear expectation. N\mathcal{N} is GG-normal if and only if for any φCb2(R)\varphi\in C_b^2(\mathbb{R}), we have R[x2φ(x)G(φ"(x))]μφ(dx)=0,\int_\mathbb{R}[\frac{x}{2}\varphi'(x)-G(\varphi"(x))]\mu^\varphi(dx)=0, where μφ\mu^\varphi is a realization of φ\varphi associated with N\mathcal{N}, i.e., μφΘ\mu^\varphi\in \Theta and μφ[φ]=N[φ]\mu^\varphi[\varphi]=\mathcal{N}[\varphi].

Cite

@article{arxiv.1603.04611,
  title  = {Stein Type Characterization for $G$-normal Distributions},
  author = {Mingshang Hu and Shige Peng and Yongsheng Song},
  journal= {arXiv preprint arXiv:1603.04611},
  year   = {2016}
}
R2 v1 2026-06-22T13:11:06.122Z