{"title":"Rubbling and Optimal Rubbling of Dense Bipartite Graphs","authors":"Ze-tu Gao, Jian-hua Yin","doi":"10.1007/s10255-025-0024-7","DOIUrl":null,"url":null,"abstract":"<div><p>Given a distribution of pebbles on the vertices of a connected graph <i>G</i>, a pebbling move on <i>G</i> consists of taking two pebbles off one vertex and placing one on an adjacent vertex. <i>Rubbling</i> is a version of pebbling where an additional move is allowed. In this new move, one pebble each is removed at vertices <i>u</i> and <i>w</i> that are adjacent to a vertex <i>v</i>, and an extra pebble is added at vertex <i>v</i>. The <i>rubbling number</i> of <i>G</i>, denoted by <i>ρ</i>(<i>G</i>), is the smallest number <i>m</i> such that for every distribution of <i>m</i> pebbles on <i>G</i> and every vertex <i>v</i>, at least one pebble can be moved to <i>v</i> by a sequence of rubbling moves. The <i>optimal rubbling number</i> of <i>G</i>, denoted by <i>ρ</i><sub><i>opt</i></sub>(<i>G</i>), is the smallest number <i>k</i> such that for some distribution of <i>k</i> pebbles on <i>G</i>, one pebble can be moved to any vertex of <i>G</i>. In this paper, we determine <i>ρ</i>(<i>G</i>) for a non-complete bipartite graph <i>G</i> ∈ <i>B</i>(<i>s</i>, <i>t</i>) with <span>\\(\\delta(G)\\geq\\lceil\\frac{2s+1}{3}\\rceil\\)</span>, give an upper bound of <i>ρ</i>(<i>G</i>) for <i>G</i> ∈ <i>B</i>(<i>s</i>, <i>t</i>) with <span>\\(\\delta(G)\\geq\\lceil\\frac{s+1}{2}\\rceil\\)</span>, and also obtain <i>ρ</i><sub><i>opt</i></sub>(<i>G</i>) for a non-complete bipartite graph <i>G</i> ∈ <i>B</i>(<i>s</i>, <i>t</i>) with <span>\\(\\delta(G)\\geq\\lceil\\frac{s+1}{2}\\rceil\\)</span>, where <i>B</i>(<i>s</i>, <i>t</i>) is the set of all connected bipartite graphs with partite sets of size <i>s</i> and <i>t</i> (<i>s</i> ≥ <i>t</i>) and <i>δ</i>(<i>G</i>) is the minimum degree of <i>G</i>.</p></div>","PeriodicalId":6951,"journal":{"name":"Acta Mathematicae Applicatae Sinica, English Series","volume":"41 3","pages":"765 - 774"},"PeriodicalIF":0.9000,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Mathematicae Applicatae Sinica, English Series","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10255-025-0024-7","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Given a distribution of pebbles on the vertices of a connected graph G, a pebbling move on G consists of taking two pebbles off one vertex and placing one on an adjacent vertex. Rubbling is a version of pebbling where an additional move is allowed. In this new move, one pebble each is removed at vertices u and w that are adjacent to a vertex v, and an extra pebble is added at vertex v. The rubbling number of G, denoted by ρ(G), is the smallest number m such that for every distribution of m pebbles on G and every vertex v, at least one pebble can be moved to v by a sequence of rubbling moves. The optimal rubbling number of G, denoted by ρopt(G), is the smallest number k such that for some distribution of k pebbles on G, one pebble can be moved to any vertex of G. In this paper, we determine ρ(G) for a non-complete bipartite graph G ∈ B(s, t) with \(\delta(G)\geq\lceil\frac{2s+1}{3}\rceil\), give an upper bound of ρ(G) for G ∈ B(s, t) with \(\delta(G)\geq\lceil\frac{s+1}{2}\rceil\), and also obtain ρopt(G) for a non-complete bipartite graph G ∈ B(s, t) with \(\delta(G)\geq\lceil\frac{s+1}{2}\rceil\), where B(s, t) is the set of all connected bipartite graphs with partite sets of size s and t (s ≥ t) and δ(G) is the minimum degree of G.
期刊介绍:
Acta Mathematicae Applicatae Sinica (English Series) is a quarterly journal established by the Chinese Mathematical Society. The journal publishes high quality research papers from all branches of applied mathematics, and particularly welcomes those from partial differential equations, computational mathematics, applied probability, mathematical finance, statistics, dynamical systems, optimization and management science.