{"title":"P=NP","authors":"Zikang Deng","doi":"arxiv-2405.08051","DOIUrl":null,"url":null,"abstract":"This paper investigates an extremely classic NP-complete problem: How to\ndetermine if a graph G, where each vertex has a degree of at most 4, can be\n3-colorable(The research in this paper focuses on graphs G that satisfy the\ncondition where the degree of each vertex does not exceed 4. To conserve space,\nit is assumed throughout the paper that graph G meets this condition by\ndefault.). The author has meticulously observed the relationship between the\ncoloring problem and semidefinite programming, and has creatively constructed\nthe corresponding semidefinite programming problem R(G) for a given graph G.\nThe construction method of R(G) refers to Theorem 1.1 in the paper. I have\nobtained and proven the conclusion: A graph G is 3-colorable if and only if the\nobjective function of its corresponding optimization problem R(G) is bounded,\nand when the objective function is bounded, its minimum value is 0.","PeriodicalId":501024,"journal":{"name":"arXiv - CS - Computational Complexity","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"P=NP\",\"authors\":\"Zikang Deng\",\"doi\":\"arxiv-2405.08051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates an extremely classic NP-complete problem: How to\\ndetermine if a graph G, where each vertex has a degree of at most 4, can be\\n3-colorable(The research in this paper focuses on graphs G that satisfy the\\ncondition where the degree of each vertex does not exceed 4. To conserve space,\\nit is assumed throughout the paper that graph G meets this condition by\\ndefault.). The author has meticulously observed the relationship between the\\ncoloring problem and semidefinite programming, and has creatively constructed\\nthe corresponding semidefinite programming problem R(G) for a given graph G.\\nThe construction method of R(G) refers to Theorem 1.1 in the paper. I have\\nobtained and proven the conclusion: A graph G is 3-colorable if and only if the\\nobjective function of its corresponding optimization problem R(G) is bounded,\\nand when the objective function is bounded, its minimum value is 0.\",\"PeriodicalId\":501024,\"journal\":{\"name\":\"arXiv - CS - Computational Complexity\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computational Complexity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.08051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.08051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文研究了一个极其经典的 NP-完备问题:如何确定一个每个顶点的度最多为 4 的图 G 是否可以 3-着色(本文的研究重点是满足每个顶点的度不超过 4 的条件的图 G。为了节省篇幅,本文假设图 G 默认满足这个条件)。笔者仔细观察了着色问题与半定式编程之间的关系,并针对给定的图 G 创造性地构造了相应的半定式编程问题 R(G),R(G)的构造方法参考了论文中的定理 1.1。我已经得到并证明了结论:当且仅当相应优化问题 R(G) 的目标函数有界,且目标函数有界时,其最小值为 0 时,图 G 是可 3 色的。
This paper investigates an extremely classic NP-complete problem: How to
determine if a graph G, where each vertex has a degree of at most 4, can be
3-colorable(The research in this paper focuses on graphs G that satisfy the
condition where the degree of each vertex does not exceed 4. To conserve space,
it is assumed throughout the paper that graph G meets this condition by
default.). The author has meticulously observed the relationship between the
coloring problem and semidefinite programming, and has creatively constructed
the corresponding semidefinite programming problem R(G) for a given graph G.
The construction method of R(G) refers to Theorem 1.1 in the paper. I have
obtained and proven the conclusion: A graph G is 3-colorable if and only if the
objective function of its corresponding optimization problem R(G) is bounded,
and when the objective function is bounded, its minimum value is 0.