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Invariant Sublinear Expectations

Probability 2024-11-22 v1

Abstract

We first give a decomposition for a TT-invariant sublinear expectation E=supPΘEP\mathbb{E}=\sup_{P\in\Theta}\mathrm{E}_P, and show that each component E(d)=supPΘ(d)EP\mathbb{E}^{(d)}=\sup_{P\in\Theta^{(d)}}\mathrm{E}_P of the decomposition has a finite period pdNp_d\in\mathbb{N}, i.e., E(d)[ffTpd]=0,fH.\mathbb{E}^{(d)}\left[f-f\circ T^{p_d}\right]=0, \quad f\in\mathcal{H}. Then we prove that a continuous invariant sublinear expectation that is strongly ergodic has a finite period pEp_{\mathbb{E}}, and each component Θ(d)\Theta^{(d)} of its periodic decomposition is the convex hull of a finite set of TpdT^{p_d}-ergodic probabilities. As an application of the characterization, we prove an ergodicity result which shows that the limit of the pEp_{\mathbb{E}}-step time means achieves the upper expectation.

Keywords

Cite

@article{arxiv.2411.14177,
  title  = {Invariant Sublinear Expectations},
  author = {Yongsheng Song},
  journal= {arXiv preprint arXiv:2411.14177},
  year   = {2024}
}

Comments

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R2 v1 2026-06-28T20:07:51.276Z