华南理工大学学报(自然科学版) ›› 2004, Vol. 32 ›› Issue (5): 80-83.

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济贫问题的随机分配模型

梁满发 栾长福   

  1. 华南理工大学 应用数学系‚广东 广州510640
  • 收稿日期:2003-06-04 出版日期:2004-05-20 发布日期:2015-09-08
  • 通信作者: 梁满发(1963-)‚男‚讲师‚主要从事数理统计的研究. E-mail:mmfliang@scut.edu.cn
  • 作者简介:梁满发(1963-)‚男‚讲师‚主要从事数理统计的研究.
  • 基金资助:
    国家自然科学基金资助项目(19902005)

Stochastic Assigning Model of Aiding the Poor Game

Liang Man-fa  Luan Chang-fu   

  1. Dept.of Applied Mathematics‚South China Univ.of Tech.‚Guangzhou510640‚Guangdong‚Chin
  • Received:2003-06-04 Online:2004-05-20 Published:2015-09-08
  • Contact: 梁满发(1963-)‚男‚讲师‚主要从事数理统计的研究. E-mail:mmfliang@scut.edu.cn
  • About author:梁满发(1963-)‚男‚讲师‚主要从事数理统计的研究.

摘要: 对美国Columbia 大学 Herbert Robbins 教授提出的济贫问题进行了研究‚该问题要求计算每个人获得的钱数的方差.先将此问题转换为非齐次马尔可夫链模型‚推导出一步转移概率矩阵‚依此证明了当钱数趋于无穷大时‚方差趋于零;给出了计算 K=3和 N=4时问题的精确解;最后给出了 N‚K 为更大数值的 Monte-Carlo 模拟解‚并检验了模拟解和精确解的一致性.

关键词: 济贫问题, 随机分配模型, 方差, 非齐次, 马尔可夫链

Abstract: The problem of Aiding the Poor Game put forward by Prof.Herbert Robbins at Columbia University of the USA was researched.In this problem‚the variance of the money provided for each individual needs to be calculated.In this research‚the problem was transformed into a non-homogeneous Markov chain model‚and the one-step transition prob-ability matrix was deduced‚thus proving that the variance approaches zero when the money approaches infinite.Moreover‚the accuracy solution of the problem‚when K=3and N=4‚was given.The Monte-Carlo simulation solution‚when N and K are both comparatively great‚was finally given and the coherence of the simulation solution and accurate solution was verified.

Key words:  Aiding the Poor Game, stochastic assigning model, variance, non-homogeneous, Markov chain

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