{"title":"Extremal Binary PFAs with Small Number of States","authors":"Stijn Cambie, M. Bondt, H. Don","doi":"10.1142/S0129054122440038","DOIUrl":null,"url":null,"abstract":"The largest known reset thresholds for DFAs are equal to [Formula: see text], where [Formula: see text] is the number of states. This is conjectured to be the maximum possible. PFAs (with partial transition function) can have exponentially large reset thresholds. This is still true if we restrict to binary PFAs. However, asymptotics do not give conclusions for fixed [Formula: see text]. We prove that the maximal reset threshold for binary PFAs is strictly greater than [Formula: see text] if and only if [Formula: see text]. These results are mostly based on the analysis of synchronizing word lengths for a certain family of binary PFAs. This family has the following properties: it contains the well-known Černý automata; for [Formula: see text] it contains a binary PFA with maximal possible reset threshold; for all [Formula: see text] it contains a PFA with reset threshold larger than the maximum known for DFAs. Analysis of this family reveals remarkable patterns involving the Fibonacci numbers and related sequences such as the Padovan sequence. We derive explicit formulas for the reset thresholds in terms of these recurrent sequences. Asymptotically the Černý family gives reset thresholds of polynomial order. We prove that PFAs in the family are not extremal for [Formula: see text]. For that purpose, we present an improvement of Martyugin’s prime number construction of binary PFAs.","PeriodicalId":192109,"journal":{"name":"Int. J. Found. Comput. Sci.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Found. Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0129054122440038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The largest known reset thresholds for DFAs are equal to [Formula: see text], where [Formula: see text] is the number of states. This is conjectured to be the maximum possible. PFAs (with partial transition function) can have exponentially large reset thresholds. This is still true if we restrict to binary PFAs. However, asymptotics do not give conclusions for fixed [Formula: see text]. We prove that the maximal reset threshold for binary PFAs is strictly greater than [Formula: see text] if and only if [Formula: see text]. These results are mostly based on the analysis of synchronizing word lengths for a certain family of binary PFAs. This family has the following properties: it contains the well-known Černý automata; for [Formula: see text] it contains a binary PFA with maximal possible reset threshold; for all [Formula: see text] it contains a PFA with reset threshold larger than the maximum known for DFAs. Analysis of this family reveals remarkable patterns involving the Fibonacci numbers and related sequences such as the Padovan sequence. We derive explicit formulas for the reset thresholds in terms of these recurrent sequences. Asymptotically the Černý family gives reset thresholds of polynomial order. We prove that PFAs in the family are not extremal for [Formula: see text]. For that purpose, we present an improvement of Martyugin’s prime number construction of binary PFAs.
已知最大的dfa重置阈值等于[Formula: see text],其中[Formula: see text]是状态数。据推测这是可能的最大值。PFAs(具有部分转移函数)可以具有指数级大的重置阈值。如果我们限制为二进制pfa,这仍然是正确的。然而,对于固定的情况,渐近性不能给出结论[公式:见文本]。我们证明了二元PFAs的最大复位阈值严格大于[公式:见文]当且仅当[公式:见文]。这些结果主要是基于对某些二进制PFAs族的同步字长的分析。这个系列具有以下性质:它包含众所周知的Černý自动机;对于[公式:见文本],它包含一个具有最大可能复位阈值的二进制PFA;对于所有[公式:见文本],它包含一个重置阈值大于dfa已知最大值的PFA。对这个家族的分析揭示了涉及斐波那契数列和相关序列(如帕多万序列)的显著模式。我们根据这些循环序列推导出复位阈值的显式公式。渐近的Černý族给出了多项式阶的重置阈值。我们证明了家庭中的PFAs不是极端的[公式:见文本]。为此,我们提出了一种改进的martyyugin二元pfa素数构造方法。