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PROPORTIONAL THREE-PERSON RED-AND-BLACK GAMES

Published online by Cambridge University Press:  13 November 2008

May-Ru Chen
Affiliation:
Academia Sinica, National Sun Yat-sen University, Kaohsiun 80424, Taiwan, ROC E-mail: chenmr@math.nsysu.edu.tw

Abstract

Consider a three-person game that occurs in stages. The state of the game is given by the integral amounts of chips that the players have, say x=(x1, x2, x3) with M=x1+x2+x3 fixed. At a stage of the game, player i places ai chips in the pot, an integer between 1 and xi. (Player i is already eliminated from the game if xi=0.) The winner of the pot is then immediately chosen in such a way that player i wins the pot with probability proportional to the index wiai for i with xi>0. The idea is that if player i bets more, then he is more likely to win, but this is modified by weights that parameterize the players’ abilities.

Each player is trying to maximize his probability of taking all the chips (i.e., reaching xi=M). In the two-person game, it is known that a Nash equilibrium is for each player to adopt strategy σ of playing timidly (ai=1) or boldly (ai=xi) according to whether the game is in his favor or not (assuming the other also plays σ). In this article, we investigate whether this also is the form of a Nash equilibrium in a three-person game when the weights are of the form (w1, w2, w3)=(w, w, 1−2w) with 0<w<1/2. It turns out that this is true if w<1/3, but not true if w>1/3 and M≥8.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009

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References

1.Chen, M.-R. & Hsiau, S.-R. (2006). Two-person red-and-black games with bet-dependent win probability functions. Journal of Applied Probability 43: 905915.Google Scholar
2.Dubins, L.E. & Savage, L.J. (1976). Inequalities for stochastic processes: How to gamble if you must, 2nd ed.New York: Dover Publications.Google Scholar
3.Pendergrass, M. & Siegrist, K. (2001). Generalizations of bold play in red and black. Stochastic Analysis and Applications 92: 163180.Google Scholar
4.Pontiggia, L. (2005). Two-person red-and-black with bet-dependent win probability. Advances in Applied Probability 37: 7589.CrossRefGoogle Scholar
5.Pontiggia, L. (2007). Nonconstant sum red-and-black games with bet-dependent win probability function. Journal of Applied Probability 44: 547553.Google Scholar
6.Ross, S.M. (1974). Dynamic programming and gambling models. Advances in Applied Probability 6: 593606.CrossRefGoogle Scholar
7.Secchi, P. (1997). Two-person red-and-black stochastic games. Journal of Applied Probability 34: 107126.Google Scholar