{"title":"On the classification of lattice polytopes via affine equivalence","authors":"Zhanyuan Cai, Yuqin Zhang, Qiuyue Liu","doi":"arxiv-2409.09985","DOIUrl":null,"url":null,"abstract":"In 1980, V. I. Arnold studied the classification problem for convex lattice\npolygons of a given area. Since then, this problem and its analogues have been\nstudied by many authors, including B\\'ar\\'any, Lagarias, Pach, Santos, Ziegler\nand Zong. Despite extensive study, the structure of the representative sets in\nthe classifications remains unclear, indicating a need for refined\nclassification methods. In this paper, we propose a novel classification\nframework based on affine equivalence, which offers a fresh perspective on the\nproblem. Our approach yields several classification results that extend and\ncomplement B\\'ar\\'any's work on volume and Zong's work on cardinality. These\nnew results provide a more nuanced understanding of the structure of the\nrepresentative set, offering deeper insights into the classification problem.","PeriodicalId":501444,"journal":{"name":"arXiv - MATH - Metric Geometry","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Metric Geometry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09985","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
In 1980, V. I. Arnold studied the classification problem for convex lattice
polygons of a given area. Since then, this problem and its analogues have been
studied by many authors, including B\'ar\'any, Lagarias, Pach, Santos, Ziegler
and Zong. Despite extensive study, the structure of the representative sets in
the classifications remains unclear, indicating a need for refined
classification methods. In this paper, we propose a novel classification
framework based on affine equivalence, which offers a fresh perspective on the
problem. Our approach yields several classification results that extend and
complement B\'ar\'any's work on volume and Zong's work on cardinality. These
new results provide a more nuanced understanding of the structure of the
representative set, offering deeper insights into the classification problem.