{"title":"The Application of Majority Voting Functions to Estimate the Number of Monotone Self-Dual Boolean Functions","authors":"L. Y. Bystrov, E. V. Kuzmin","doi":"10.3103/S0146411623070027","DOIUrl":null,"url":null,"abstract":"<p>One of the problems of modern discrete mathematics is Dedekind’s problem on the number of monotone Boolean functions. For other precomplete classes, general formulas for the number of functions of the classes had been found, but it has not been found so far for the class of monotone Boolean functions. Within the framework of this problem, there are problems of a lower level. One of them is the absence of a general formula for the number of Boolean functions of intersection <span>\\(MS\\)</span> of two classes—the class of monotone functions and the class of self-dual functions. In the paper, new lower bounds are proposed for estimating the cardinality of the intersection for both an even and an odd number of variables. It is shown that the majority voting function of an odd number of variables is monotone and self-dual. The majority voting function of an even number of variables is determined. Free voting functions, which are functions with fictitious variables similar in properties to majority voting functions, are introduced. Then the union of a set of majority voting functions and a set of free voting functions is considered, and the cardinality of this union is calculated. The resulting value of the cardinality is proposed as a lower bound for <span>\\(\\left| {MS} \\right|\\)</span>. For the class <span>\\(MS\\)</span> of monotone self-dual functions of an even number of variables, the lower bound is improved over the bounds proposed earlier, and for functions of an odd number of variables, the lower bound for <span>\\(\\left| {MS} \\right|\\)</span> is presented for the first time.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"57 7","pages":"706 - 717"},"PeriodicalIF":0.6000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411623070027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
One of the problems of modern discrete mathematics is Dedekind’s problem on the number of monotone Boolean functions. For other precomplete classes, general formulas for the number of functions of the classes had been found, but it has not been found so far for the class of monotone Boolean functions. Within the framework of this problem, there are problems of a lower level. One of them is the absence of a general formula for the number of Boolean functions of intersection \(MS\) of two classes—the class of monotone functions and the class of self-dual functions. In the paper, new lower bounds are proposed for estimating the cardinality of the intersection for both an even and an odd number of variables. It is shown that the majority voting function of an odd number of variables is monotone and self-dual. The majority voting function of an even number of variables is determined. Free voting functions, which are functions with fictitious variables similar in properties to majority voting functions, are introduced. Then the union of a set of majority voting functions and a set of free voting functions is considered, and the cardinality of this union is calculated. The resulting value of the cardinality is proposed as a lower bound for \(\left| {MS} \right|\). For the class \(MS\) of monotone self-dual functions of an even number of variables, the lower bound is improved over the bounds proposed earlier, and for functions of an odd number of variables, the lower bound for \(\left| {MS} \right|\) is presented for the first time.
期刊介绍:
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision