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P2 On the Taylor expansion of $\lambda$-terms and the groupoid structure of their rigid approximants

关于 λ-项的 Taylor 展开及其刚性逼近项的群胚结构
LMCS vol.Volume 18, Issue 12022匹配度 1/10 · 该论文属于纯 λ-演算与形式语义理论(Taylor 展开、Böhm 树、资源演算),与用户关注的静态分析、LLM/Agent 交叉、浮点程序分析及贝叶斯程序分析均无直接关联,仅同属 PL 大领域。引用 1 inbox
Federico Olimpieri, Lionel Vaux Auclair
crossref: 2026-09-10

AI 速览

一句话:改进 λ-项 Taylor 展开正规形与 Böhm 树同构的证明,引入刚性资源演算中的置换群胚并扩展到非确定性情形。

本文研究 λ-项 Taylor 展开与其 Böhm 树之间的关系,即 Taylor 展开的正规形是否同构于原项的 Böhm 树。Ehrhard 与 Regnier 原有证明依赖特定抽象机器,且仅处理变量出现置换的群结构。作者在资源演算中直接采用左归约策略,简化证明最后一步;进而定义刚性资源演算中参数副本置换的群胚,并用其刻画 Taylor 展开的系数。最后将全部结果推广到非确定性设定,证明此前关键的 uniformity 性质在该设定下仍可保持。该工作为 Taylor 展开、资源演算与 λ-演算语义提供了更统一的结构视角。

问题
研究 λ-项 Taylor 展开的正规形与其 Böhm 树之间的同构关系,以及该关系在非确定性设定下是否仍成立。
方法
在资源演算中直接采用左归约策略以简化原有证明,并引入刚性资源演算中参数副本置换的群胚来关联 Taylor 展开系数。
评估
通过数学证明重新建立并推广 Ehrhard 与 Regnier 的定理,验证证明步骤简化、群胚刻画以及非确定性扩展下 uniformity 性质的可保持性。
原文摘要(Abstract)

We show that the normal form of the Taylor expansion of a $\lambda$-term is isomorphic to its B\"ohm tree, improving Ehrhard and Regnier's original proof along three independent directions. First, we simplify the final step of the proof by following the left reduction strategy directly in the resource calculus, avoiding to introduce an abstract machine ad hoc. We also introduce a groupoid of permutations of copies of arguments in a rigid variant of the resource calculus, and relate the coefficients of Taylor expansion with this structure, while Ehrhard and Regnier worked with groups of permutations of occurrences of variables. Finally, we extend all the results to a nondeterministic setting: by contrast with previous attempts, we show that the uniformity property that was crucial in Ehrhard and Regnier's approach can be preserved in this setting.

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BibTeX
@article{paperbot1753,
  title = {On the Taylor expansion of $\lambda$-terms and the groupoid structure of their rigid approximants},
  author = {Federico Olimpieri and Lionel Vaux Auclair},
  journal = {Logical Methods in Computer Science},
  volume = {Volume 18, Issue 1},
  year = {2022},
  doi = {10.46298/lmcs-18(1:1)2022}
}