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P2 Computing the Density of the Positivity Set for Linear Recurrence Sequences

计算线性递推序列正性集的密度
LMCS vol.Volume 19, Issue 42023匹配度 1/10 · 该论文属于线性递推序列/线性动力系统的可判定性与密度计算,是纯理论逻辑与自动机工作;未涉及 LLM/Agent、静态分析、浮点程序分析或贝叶斯程序分析,与研究画像核心无直接交集。引用 0 inbox
Edon Kelmendi
crossref: 2026-09-10crossref: 2026-09-12

AI 速览

一句话:证明可以任意精度计算线性递推序列正性集的密度,并可判定其是否为零或一,且推广到线性动力系统的符号轨道。

本文研究线性递推序列正性集的密度,即序列中正项相对于非正项的渐近频率。作者证明该密度可以按任意精度计算,并可判定其是否等于零或一;对于可对角化序列,正性集有限当且仅当密度为零。论文还讨论密度的算术性质,特别证明在序列至多有一对主导复根时,密度是否为有理数可判定。最后,作者将上述结果推广到线性动力系统的符号轨道,表明可判定此类系统在密度零例外集下的若干性质。

问题
研究线性递推序列正性集的密度,即正项与非正项相比的渐近频率,并判定密度是否为零、一或有理数等性质。
方法
通过分析线性递推序列正性集的渐近密度及其算术性质,给出可计算密度的判定过程,并将结论推广到线性动力系统的符号轨道。
评估
以可计算性与可判定性证明为主:密度可按任意精度计算,零/一及特定条件下的有理性可判定,且结论推广至符号轨道上密度零例外意义下的性质。
原文摘要(Abstract)

The set of indices that correspond to the positive entries of a sequence of numbers is called its positivity set. In this paper, we study the density of the positivity set of a given linear recurrence sequence, that is the question of how much more frequent are the positive entries compared to the non-positive ones. We show that one can compute this density to arbitrary precision, as well as decide whether it is equal to zero (or one). If the sequence is diagonalisable, we prove that its positivity set is finite if and only if its density is zero. Further, arithmetic properties of densities are treated, in particular we prove that it is decidable whether the density is a rational number, given that the recurrence sequence has at most one pair of dominant complex roots. Finally, we generalise all these results to symbolic orbits of linear dynamical systems, thereby showing that one can decide various properties of such systems, up to a set of density zero.

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BibTeX
@article{paperbot2178,
  title = {Computing the Density of the Positivity Set for Linear Recurrence Sequences},
  author = {Edon Kelmendi},
  journal = {Logical Methods in Computer Science},
  volume = {Volume 19, Issue 4},
  year = {2023},
  doi = {10.46298/lmcs-19(4:16)2023}
}