{"title":"Transportation Distance between Probability Measures on the Infinite Regular Tree","authors":"Pakawut Jiradilok, Supanat Kamtue","doi":"10.1137/21m1448781","DOIUrl":null,"url":null,"abstract":"SIAM Journal on Discrete Mathematics, Volume 38, Issue 1, Page 1113-1157, March 2024. <br/> Abstract. In the infinite regular tree [math] with [math], we consider families [math], indexed by vertices [math] and nonnegative integers (“discrete time steps”) [math], of probability measures such that [math] if the distances [math] and [math] are equal. Let [math] be a positive integer, and let [math] and [math] be two vertices in the tree which are at distance [math] apart. We compute a formula for the transportation distance [math] in terms of generating functions. In the special case where [math] are measures from simple random walks after [math] time steps, we establish the linear asymptotic formula [math], as [math], and give the formulas for the coefficients [math] and [math] in closed forms. We also obtain linear asymptotic formulas when [math] is the uniform distribution on the sphere or on the ball of radius [math] as [math]. We show that these six coefficients (two from the simple random walk, two from the uniform distribution on the sphere, and two from the uniform distribution on the ball) are related by inequalities.","PeriodicalId":49530,"journal":{"name":"SIAM Journal on Discrete Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM Journal on Discrete Mathematics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1137/21m1448781","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
SIAM Journal on Discrete Mathematics, Volume 38, Issue 1, Page 1113-1157, March 2024. Abstract. In the infinite regular tree [math] with [math], we consider families [math], indexed by vertices [math] and nonnegative integers (“discrete time steps”) [math], of probability measures such that [math] if the distances [math] and [math] are equal. Let [math] be a positive integer, and let [math] and [math] be two vertices in the tree which are at distance [math] apart. We compute a formula for the transportation distance [math] in terms of generating functions. In the special case where [math] are measures from simple random walks after [math] time steps, we establish the linear asymptotic formula [math], as [math], and give the formulas for the coefficients [math] and [math] in closed forms. We also obtain linear asymptotic formulas when [math] is the uniform distribution on the sphere or on the ball of radius [math] as [math]. We show that these six coefficients (two from the simple random walk, two from the uniform distribution on the sphere, and two from the uniform distribution on the ball) are related by inequalities.
期刊介绍:
SIAM Journal on Discrete Mathematics (SIDMA) publishes research papers of exceptional quality in pure and applied discrete mathematics, broadly interpreted. The journal''s focus is primarily theoretical rather than empirical, but the editors welcome papers that evolve from or have potential application to real-world problems. Submissions must be clearly written and make a significant contribution.
Topics include but are not limited to:
properties of and extremal problems for discrete structures
combinatorial optimization, including approximation algorithms
algebraic and enumerative combinatorics
coding and information theory
additive, analytic combinatorics and number theory
combinatorial matrix theory and spectral graph theory
design and analysis of algorithms for discrete structures
discrete problems in computational complexity
discrete and computational geometry
discrete methods in computational biology, and bioinformatics
probabilistic methods and randomized algorithms.