| Title |
Construction of special soliton solutions to the stochastic Riccati equation / |
| Authors |
Navickas, Zenonas ; Telksnienė, Inga ; Telksnys, Tadas ; Marcinkevicius, Romas ; Ragulskis, Minvydas |
| DOI |
10.1515/math-2022-0051 |
| Full Text |
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| Is Part of |
Open mathematics.. Berlin : Walter de Gruyter. 2022, vol. 20, iss. 1, p. 829-844.. ISSN 2391-5455 |
| Keywords [eng] |
stochastic differential equation ; analytical solution ; Ito calculus |
| Abstract [eng] |
A scheme for the analytical stochastization of ordinary differential equations (ODEs) is presented in this article. Using Ito calculus, an ODE is transformed into a stochastic differential equation (SDE) in such a way that the analytical solutions of the obtained equation can be constructed. Furthermore, the constructed stochastic trajectories remain bounded in the same interval as the deterministic solutions. The proposed approach is in a stark contrast to methods based on the randomization of solution trajectories and is not focused on the analysis of martingales. This article extends the theory of Ito calculus by directly implementing it into analytical schemes for the solution of differential equations based on the generalized operator of differentiation. The efficacy of the presented analytical stochastization techniques is demonstrated by deriving stochastic soliton solutions to the Riccati differential equation. The presented semi-analytical stochastization scheme is relevant for the investigation of the global dynamics of different biological and biomedical processes where the variation interval of the stochastic solution is predetermined by the rationale of the model. |
| Published |
Berlin : Walter de Gruyter |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
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