Published May 15, 2009
| Version v1
Journal article
On a Markov chain roulette-type game
Creators
- 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/10.1088/1751-8113/42/19/195005Additional 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