首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:Non-universality for longest increasing subsequence of a random walk
  • 本地全文:下载
  • 作者:Robin Pemantle ; Yuval Peres
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2017
  • 卷号:XIV
  • 页码:327-336
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:The longest increasing subsequence of a random walk with mean zeroand finite variance is known to be of length n1/2+o(1). We show that this is notuniversal for symmetric random walks. In particular, the symmetric Ultra-fat tailedrandom walk has a longest increasing subsequence that is asymptotically at leastn0.690 and at most n0.815. An exponent strictly greater than 1/2 is also shown forthe symmetric stable-α distribution when α is sufficiently small.
  • 关键词:Ultra-fat tailed distribution; stable law; LIS; NBU.
国家哲学社会科学文献中心版权所有