中文

一般开放集中的分数 Hardy 不等式

计算与语言 2024-11-08 v3

摘要

我们证明,当 sp>Nsp>N 时,Sobolev-Slobodecki\u{\i} 空间中 punctured space RN{0}\mathbb R^N\setminus\{0\} 的 sharp Hardy 常数 hs,p\mathfrak{h}_{s,p} 为 open ΩRN\Omega\subsetneq \mathbb R^N 的 Hardy 常数 hs,p(Ω)\mathfrak{h}_{s,p}(\Omega) 提供 optimal lower bound。该证明 exploit s Hardy's inequality 在分数设置下以 positive local weak supersolutions of relevant Euler-Lagrange equation 的 characterization。我们依赖于通过 means of the distance function from the boundary of Ω\Omega construction suitable supersolutions。此外,我们 compute hs,p\mathfrak{h}_{s,p}s1s\nearrow 1pp \nearrow \infty 的 limit。最后,我们将结果应用于建立当 sp>Nsp>N 时 non-local eigenvalue λs,p(Ω)\lambda_{s,p}(\Omega) 相对于 hs,p\mathfrak{h}_{s,p} 的 lower bound,这反过来给出一个 constant 不随 pp\nearrow \infty 而消失的 improved Cheeger inequality。

关键词

引用

@article{arxiv.2407.06567,
  title  = {FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making},
  author = {Yangyang Yu and Zhiyuan Yao and Haohang Li and Zhiyang Deng and Yupeng Cao and Zhi Chen and Jordan W. Suchow and Rong Liu and Zhenyu Cui and Zhaozhuo Xu and Denghui Zhang and Koduvayur Subbalakshmi and Guojun Xiong and Yueru He and Jimin Huang and Dong Li and Qianqian Xie},
  journal= {arXiv preprint arXiv:2407.06567},
  year   = {2024}
}

备注

LLM Applications, LLM Agents, Financial Technology, Quantitative Finance, Algorithmic Trading, Cognitive Science