{"title":"On the rank of random matrices","authors":"C. Cooper","doi":"10.1002/(SICI)1098-2418(200003)16:2%3C209::AID-RSA6%3E3.0.CO;2-1","DOIUrl":null,"url":null,"abstract":"Let M=(mij) be a random n×n matrix over GF(2). Each matrix entry mij is independently and identically distributed, with Pr(mij=0)=1−p(n) and Pr(mij=1)=p(n). The probability that the matrix M is nonsingular tends to c2≈0.28879 provided min(p, 1−p)≥(log n+d(n))/n for any d(n)∞. Sharp thresholds are also obtained for constant d(n). This answers a question posed in a paper by J. Blomer, R. Karp, and E. Welzl (Random Struct Alg, 10(4) (1997)). ©2000 John Wiley & Sons, Inc. Random Struct. Alg., 16, 209–232, 2000","PeriodicalId":303496,"journal":{"name":"Random Struct. Algorithms","volume":"2000 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"83","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Random Struct. Algorithms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1098-2418(200003)16:2%3C209::AID-RSA6%3E3.0.CO;2-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 83
在随机矩阵的秩上
设M=(mij)是GF(2)上的随机n×n矩阵。每个矩阵项mij是独立同分布的,Pr(mij=0)=1−p(n), Pr(mij=1)=p(n)。对于任意d(n)∞,当min(p, 1−p)≥(log n+d(n))/n时,矩阵M非奇异的概率趋于c2≈0.28879。对于恒定的d(n),也可以得到明显的阈值。这回答了J. Blomer, R. Karp和E. Welzl (Random Struct Alg, 10(4)(1997))在一篇论文中提出的问题。©2000 John Wiley & Sons, Inc随机结构。Alg。中文信息学报,16,209 - 232,2000
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