Published May 15, 2009 | Version v1
Journal article

On a Markov chain roulette-type game

  • 1. Department of Mathematics, Damietta Faculty of Science, PO Box 6, New Damietta (Egypt)

Description

A Markov chain on non-negative integers which arises in a roulette-type game is discussed. The transition probabilities are p01 = ρ, pNj = δNj, pi,i+W = q, pi,i-1 = p = 1 - q, 1 ≤ W < N, 0 ≤ ρ ≤ 1, N - W < j ≤ N and i = 1, 2, ..., N - W. Using formulae for the determinant of a partitioned matrix, a closed form expression for the solution of the Markov chain roulette-type game is deduced. The present analysis is supported by two mathematical models from tumor growth and war with bargaining

Availability note (English)

Available from http://dx.doi.org/10.1088/1751-8113/42/19/195005

Additional details

Identifiers

DOI
10.1088/1751-8113/42/19/195005;
PII
S1751-8113(09)95610-4;

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and Theoretical (Online)
Journal Volume
42
Journal Issue
19
Journal Page Range
[11 p.]
ISSN
1751-8121

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40070706
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
GROWTH; MARKOV PROCESS; MATHEMATICAL MODELS; MATHEMATICAL SOLUTIONS; NEOPLASMS; PROBABILITY
Descriptors DEC
DISEASES; STOCHASTIC PROCESSES