AbstractHere we contract two associated games that consist of tossing biased coins. By using the discrete-time Markov chain method, game AB, which is played in alternation, is studied by means of theoretical analysis and computer simulation. And we find that this game didn’t have a definite stationary probability distribution and that payoffs of the game depended on the parity of the initial capital. Besides, the quantization method is used in a further study. The results show that the explanation of the game corresponding to a stationary probability distribution is that the probability of the initial capital has reached parity
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.