{"title":"Growing integer partitions with uniform marginals and the equivalence of partition ensembles","authors":"Yuri Yakubovich","doi":"10.1016/j.aim.2024.109908","DOIUrl":null,"url":null,"abstract":"<div><p>We present an explicit construction of a Markovian random growth process on integer partitions such that given it visits some level <em>n</em>, it passes through any partition <em>λ</em> of <em>n</em> with equal probabilities. The construction has continuous time, but we also investigate its discrete time jump chain. The jump probabilities are given by explicit but complicated expressions, so we find their asymptotic behavior as the partition becomes large. This allows us to explain how the limit shape is formed.</p><p>Using the known connection of the considered probabilistic objects to Poisson point processes, we give an alternative description of the partition growth process in these terms. Then we apply the constructed growth process to find sufficient conditions for a phenomenon known as equivalence of two ensembles of random partitions for a finite number of partition characteristics. This result allows to show that counts of odd and even parts in a random partition of <em>n</em> are asymptotically independent as <span><math><mi>n</mi><mo>→</mo><mo>∞</mo></math></span> and to find their limiting distributions, which are, somewhat surprisingly, different.</p></div>","PeriodicalId":50860,"journal":{"name":"Advances in Mathematics","volume":"457 ","pages":"Article 109908"},"PeriodicalIF":1.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001870824004237","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
We present an explicit construction of a Markovian random growth process on integer partitions such that given it visits some level n, it passes through any partition λ of n with equal probabilities. The construction has continuous time, but we also investigate its discrete time jump chain. The jump probabilities are given by explicit but complicated expressions, so we find their asymptotic behavior as the partition becomes large. This allows us to explain how the limit shape is formed.
Using the known connection of the considered probabilistic objects to Poisson point processes, we give an alternative description of the partition growth process in these terms. Then we apply the constructed growth process to find sufficient conditions for a phenomenon known as equivalence of two ensembles of random partitions for a finite number of partition characteristics. This result allows to show that counts of odd and even parts in a random partition of n are asymptotically independent as and to find their limiting distributions, which are, somewhat surprisingly, different.
我们提出了一种在整数分区上的马尔可夫随机增长过程的显式构造,给定它访问某个水平 n,它以相等的概率通过 n 的任意分区 λ。该构造具有连续时间性,但我们也研究了它的离散时间跳跃链。跳跃概率由明确但复杂的表达式给出,因此我们会发现当分区变大时它们的渐近行为。利用所考虑的概率对象与泊松点过程的已知联系,我们用这些术语给出了分区增长过程的另一种描述。然后,我们应用所构建的增长过程,为有限数量分区特征的两个随机分区集合的等价现象找到充分条件。通过这一结果,我们可以证明在 n 的随机分区中,奇数部分和偶数部分的计数在 n→∞ 时是渐近独立的,并找到它们的极限分布,令人惊讶的是,它们的极限分布是不同的。
期刊介绍:
Emphasizing contributions that represent significant advances in all areas of pure mathematics, Advances in Mathematics provides research mathematicians with an effective medium for communicating important recent developments in their areas of specialization to colleagues and to scientists in related disciplines.