Mean reversal for stochastic hybrid systems

被引:1
作者
Korzeniowski, Andrzej [1 ]
机构
[1] Univ Texas Arlington, Dept Math, Arlington, TX 76019 USA
关键词
Hybrid Markov chain; Stationary distribution; Randomization; Mean reversal;
D O I
10.1016/j.nahs.2006.09.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Consider two discrete time Markov chains on a finite state space with +/- 1 win or lose payoff subject to transition between the states. We introduce a class of processes whose cumulative expected payoffs are decreasing in time but, whenever the processes are chosen at random by flipping a fair coin, the expected payoff for the randomized process becomes increasing in time. The seemingly counterintuitive long time run mean reversal generalizes the idea of combining two losing games into a winning one, known as Parrondo's Paradox. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:613 / 625
页数:13
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