A note on the convergence rate of Peng's law of large numbers under sublinear expectations
Mingshang Hu, Xiaojuan Li, Xinpeng Li

TL;DR
This paper offers a new, simplified proof of the convergence rate for Peng's law of large numbers under sublinear expectations, enhancing previous results by Song and Fang et al.
Contribution
It introduces a more straightforward proof technique that improves the convergence rate results in Peng's law of large numbers under sublinear expectations.
Findings
Improved convergence rate bounds for Peng's law of large numbers
Simplified proof method for convergence analysis
Enhanced understanding of sublinear expectation frameworks
Abstract
This short note provides a new and simple proof of the convergence rate for Peng's law of large numbers under sublinear expectations, which improves the corresponding results in Song [15] and Fang et al. [3].
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Thermodynamics and Statistical Mechanics · Stochastic processes and statistical mechanics
