Communication cascade processes with Markov chains
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Keywords:
cascade-probability, ions, defect formation, Markov chain, Markov processes.Abstract
The work executed within the framework of cascade-probability method, the essence of which is to obtain and further use of cascade-probability functions (CPF) for the different particles. CPF sense the probability that a particle generated at a certain depth h’ reaches a certain depth h after the n-th number of collisions. We have considered the interaction of ions with solids and communication processes of radiation defect with Markov processes and Markov chains. Displaying obtain recurrence relations for the simplest of CPF Chapman-Kolmogorov equations. In this case the particle after the collision does not change its direction of movement, the flow rate is independent of time, and hence the penetration depth. recurrence relations are also obtained for the RAF taking into account losses of energy to the ions of the Chapman-Kolmogorov equation, the intensity of the flow depends on the depth of penetration.References
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2. Boss E.G., Kupchyshyn A.I. The solution of physical problems cascaded probabilistic method. – Alma-Ata: Science, 1998. – 144 p.
3. Guter R.S., Ovchinsky B.V. Fundamentals of Probability Theory. – M .: Education , 1967. – 159 p.
4. Kolmogorov A.N. Basic concepts of probability theory. – M .: Science, 1974. – 119 p.
5. Feller W., An Introduction to Probability Theory and Its Applications. – M .: Mir, 1984. – 527 p.
6. Wentzell A.D, Course of the theory of random processes. – M .: Nauka, 1996. – 400 p.
7. Kupchishin A.I Interaction of radiation with matter. Cascaded probabilistic method (methodical development for students of physics and mathematics). – Almaty, 1986. – 68 p.
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12. Hamilton J. "A new approach to the economic analysis of nonstationary time series and the business cycle" // Econometrica. – 1989. – Vol. 57, No. 2.
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How to Cite
Shmygaleva, T. A., Shmygalev, E. V., Kupchishin, A. I., Cherykbaeva, L. S., & Temirbekova, Z. E. (2016). Communication cascade processes with Markov chains. International Journal of Mathematics and Physics, 7(1), 10–15. Retrieved from https://ijmph.kaznu.kz/index.php/kaznu/article/view/153
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Informatics and Mathematical Modeling
