{"title":"A complexity trichotomy for k-regular asymmetric spin systems with complex edge functions","authors":"Peng Yang, Yuan Huang, Zhiguo Fu","doi":"10.1016/j.tcs.2024.114835","DOIUrl":null,"url":null,"abstract":"<div><p>We prove a complexity trichotomy theorem for a class of partition functions over <em>k</em>-regular graphs, where the signature is complex valued and not necessarily <em>symmetric</em>. In details, we establish explicit criteria, according to which the partition functions of all such systems are classified into three classes: For every parameter setting in <span><math><mi>C</mi></math></span> for the spin system, the partition function is either (1) computable in polynomial time for every graph, or (2) #P-hard for general graphs but computable in polynomial time for planar graphs, or (3) #P-hard even for planar graphs.</p></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1020 ","pages":"Article 114835"},"PeriodicalIF":0.9000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397524004523","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
We prove a complexity trichotomy theorem for a class of partition functions over k-regular graphs, where the signature is complex valued and not necessarily symmetric. In details, we establish explicit criteria, according to which the partition functions of all such systems are classified into three classes: For every parameter setting in for the spin system, the partition function is either (1) computable in polynomial time for every graph, or (2) #P-hard for general graphs but computable in polynomial time for planar graphs, or (3) #P-hard even for planar graphs.
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.