500 rub
Journal Electromagnetic Waves and Electronic Systems №3 for 2026 г.
Article in number:
Construction and analysis of a stochastic dynamic model of a three-level laser using the method of normal approximation and the algorithm of symbolic calculations
Type of article: scientific article
DOI: https://doi.org/10.18127/j15604128-202603-09
UDC: 519.6, 519.21, 621.373.8
Authors:

V.V. Belousov1, O.V. Druzhinina2

1,2 FRС «Computer Science and Control» of RAS (Moscow, Russia)

1vbelousov@frccsc.ru, 2odruzhinina@frccsc.ru

Abstract:

The study of stochastic models of laser systems is an urgent area of research. The relevance is due to the need to develop and improve mathematical models of laser systems in various fields of science and technology. Of particular importance is the development of methods for analyzing the probabilistic structure of interference and elucidating stochastic effects in multilevel lasers. Among the significant problems, the problems of analyzing stochastic models using the normal approximation method should be highlighted. The objectives of the paper include the construction and analysis of a stochastic dynamic model of a three-level laser, stochastification and transition to a system of ordinary differential equations with respect to probabilistic moments, as well as the analysis of the influence of nonparametric white noise and Poisson-type interference on the trajectory dynamics of the laser system model. A stochastic dynamic model of a three-level laser is constructed based on the transition from a deterministic model defined by the generalized Lotka – Volterra system. Based on the extended Ito equation taking into account both Wiener (white noise) and Poisson (discontinuous) perturbations a stochastic model is developed that takes into account the features of laser processes of spontaneous emission, pumping fluctuations and losses in the resonator. The application of the normal approximation method to the study of the constructed stochastic model of the laser system is considered.  Using the developed algorithm for studying multidimensional stochastic systems a system of differential equations with respect to mathematical expectations, variances, and covariance of the phase variables under consideration is obtained as a result of symbolic calculations. Computer modeling has been performed and a comparative analysis of the dynamics of deterministic and stochastic models has been performed for two sets of Poisson noise parameters. Stochastic effects are described and research prospects are considered. The results can be used in the development of algorithmic and software for solving problems of modeling the dynamics of processes in multilevel laser systems, as well as in solving problems of estimating the noise characteristics of laser systems and optimal filtration problems.

Pages: 75-87
For citation

Belousov V.V., Druzhinina O.V. Construction and analysis of a stochastic dynamic model of a three-level laser using the method of normal approximation and the algorithm of symbolic calculations. Electromagnetic waves and electronic systems. 2026. V. 31. № 3. P. 75−87. DOI: https://doi.org/10.18127/j15604128-202603-09 (in Russian)

References
  1.  Sivukhin D.V. General course of physics. Moscow: Nauka. 1980. 752 p. (in Russian)
  2. Maitland A., Dunn M. Introduction to laser Physics. Transl. from En. by V.A. Batanova, ed. by S.I. Anisimov. Moscow: Nauka. 1978. 408 p. (in Russian)
  3. Fox M. Quantum Optics: An Introduction. New York: Oxford University Press. 2006. 397 p.
  4. Grynberg G., Aspect A. Fabre C. Introduction to Quantum Optics: From the Semi-Classical Approach to Qantized Light. New York: Cambridge University Press. 2010. 667 p.
  5. Gladyshev V.O., Sharandin E.A. Mathematical model of generation and amplification of radiation in multistage laser. Mathematical modeling. 2018. V. 30. № 8. P. 51–66. DOI 10.31857/S023408790001174-5. (in Russian)
  6. Aboites V., Bravo-Avilés J.F., García-López J.H., Jaimes-Reategui R., Huerta-Cuellar G. Interpretation and dynamics of the Lotka – Volterra model in the description of a three-level laser. Photonics. 2022. V. 9. № 1. P. 16. DOI 10.3390/photonics9010016.
  7. Jiao Y., Zhang Yu, Bai J., Jiang W., He Y., Shen H., Jia S., Zhao J., Adams C.S. Quantum Lotka – Volterra dynamics. [Electronic resource] – Access mode: https://arxiv.org/pdf/2408.01726, date of reference 17.09.2025.
  8. Trubetskov D.I. Phenomenon of Lotka – Volterra mathematical model and similar models. News of higher educational institutions. Applied nonlinear dynamics. 2011. V. 19. № 2. P. 69–88. DOI 10.18500/0869-6632-2011-19-2-69-88. (in Russian)
  9. Khimenko V.I. Time coherence and probability structure of random optical radiation intensity. Information and control systems. 2011. № 1(50). P. 2–8. (in Russian)
  10. Khimenko V.I. Laser information systems: developing a statistical theory. Information and control systems. 2015. № 5(78). P. 43–54. DOI 10.15217/issn1684-8853.2015.5.43. (in Russian)
  11. Pugachev V.S., Sinitsyn I.N. Stochastic differential systems. Analysis and filtration. Ed. 2nd. M.: Nauka. 1990. 630 p. (in Russian)
  12. Pugachev V.S., Sinitsyn I.N. Theory of stochastic systems. Ed. 2nd. M.: Logos. 2003. 1000 p. (in Russian)
  13. Mao X. Stochastic differential equations and applications. Cambridge: Woodhead Publ. 2008. 440 p.
  14. Sinitsyn I.N., Sinitsyn V.I. Analytical modeling of normal processes in volterra stochastic systems. Systems and means of computer science. 2018. V. 28. № 2. p. 4–19. DOI 10.14357/08696527180201. (in Russian)
  15. Hening A., Nguyen D.H. Persistence in Stochastic Lotka – Volterra Food Chains with Intraspecific Competition. Bulletin of Mathematical Biology. 2018. V. 80. № 10. P. 2527–2560. DOI 10.1007/s11538-018-0468-5.
  16. Druzhinina O.V., Belousov V.V. Construction of algorithms for the study of multidimensional stochastic Lotka – Volterra systems using the normal approximation method. Management of large systems. 2025. 118. P. 2341. DOI 10.25728/ubs.2025.118.2. (in Russian)
  17. Belousov V.V., Druzhinina O.V. Construction and analysis of stochastic models of organizational and technical systems using the normal approximation method. Science Intensive Technologies. 2025. V. 26. № 6. P. 38−47. DOI 10.18127/j19998465-202506-04 (in Russian)
  18. Korolev V.Y., Korchagin A.Y., Zeifman A.I. Convergence of nonhomogeneous random walks generated by compound Cox processes to generalized variance-gamma Lévy processes. Doklady Mathematics. 2015. V. 92. 1. P. 408411. DOI 10.1134/S1064562415040043.  
Date of receipt: 31.03.2026
Approved after review: 07.04.2026
Accepted for publication: 28.04.2026