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Lipschitzian SLLNs for random functions

2026-07-22

Key Takeaway

A robotics research paper on Lipschitzian SLLNs for random functions.

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中文解读

中文解读待补充:本站将优先为睡眠改善、失眠治疗、助眠方法等高价值文章补充中文说明。

Article Summary

We prove strong laws of large numbers for locally Lipschitz functions in the Lipschitz pseudometric. Our results hold under either a topological or a model-theoretic condition, with the latter encompassing functions jointly definable in o-minimal structures but extending substantially beyond this class. Applications include uniform convergence of limiting and Clarke subdifferentials and finite-sample identification of solutions. Consequently, we identify broad classes of functions for which the failure phenomena revealed by our previous negative results [Tian and Royset, arXiv:2511.16568, 2025] do not occur.

5.0Practicality
7.0Scientific Evidence
4.0Effectiveness

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