Construction of analytical solutions to systems of two stochastic differential equations
A scheme for the stochastization of systems of ordinary differential equations (ODEs) based on Itô calculus is presented in this article. Using the presented techniques, a system of stochastic differential equations (SDEs) can be constructed in such a way that eliminating the stochastic component yi...
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Published in: | Open mathematics (Warsaw, Poland) Vol. 21; no. 1; pp. 108133 - 336 |
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De Gruyter
11-11-2023
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Abstract | A scheme for the stochastization of systems of ordinary differential equations (ODEs) based on Itô calculus is presented in this article. Using the presented techniques, a system of stochastic differential equations (SDEs) can be constructed in such a way that eliminating the stochastic component yields the original system of ODEs. One of the main benefits of this scheme is the ability to construct analytical solutions to SDEs with the use of special vector-valued functions, which significantly differs from the randomization approach, which can only be applied via numerical integration. Moreover, using the presented techniques, a system of ODEs and SDEs can be constructed from a given diffusion function, which governs the uncertainty of a particular process. |
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AbstractList | A scheme for the stochastization of systems of ordinary differential equations (ODEs) based on Itô calculus is presented in this article. Using the presented techniques, a system of stochastic differential equations (SDEs) can be constructed in such a way that eliminating the stochastic component yields the original system of ODEs. One of the main benefits of this scheme is the ability to construct analytical solutions to SDEs with the use of special vector-valued functions, which significantly differs from the randomization approach, which can only be applied via numerical integration. Moreover, using the presented techniques, a system of ODEs and SDEs can be constructed from a given diffusion function, which governs the uncertainty of a particular process. |
Author | Ragulskis, Minvydas Marcinkevicius, Romas Telksnys, Tadas Telksniene, Inga Navickas, Zenonas |
Author_xml | – sequence: 1 givenname: Zenonas surname: Navickas fullname: Navickas, Zenonas email: zenonas.navickas@ktu.lt organization: Center for Nonlinear Systems, Kaunas University of Technology, Studentu 50-147, Kaunas LT-51368, Lithuania – sequence: 2 givenname: Inga surname: Telksniene fullname: Telksniene, Inga email: inga.telksniene@ktu.edu organization: Center for Nonlinear Systems, Kaunas University of Technology, Studentu 50-147, Kaunas LT-51368, Lithuania – sequence: 3 givenname: Tadas surname: Telksnys fullname: Telksnys, Tadas email: tadas.telksnys@ktu.lt organization: Center for Nonlinear Systems, Kaunas University of Technology, Studentu 50-147, Kaunas LT-51368, Lithuania – sequence: 4 givenname: Romas surname: Marcinkevicius fullname: Marcinkevicius, Romas email: romas.marcinkevicius@ktu.lt organization: Department of Software Engineering, Kaunas University of Technology, Studentu 50-415, Kaunas LT-51368, Lithuania – sequence: 5 givenname: Minvydas surname: Ragulskis fullname: Ragulskis, Minvydas email: minvydas.ragulskis@ktu.lt organization: Center for Nonlinear Systems, Kaunas University of Technology, Studentu 50-147, Kaunas LT-51368, Lithuania |
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Cites_doi | 10.1515/math-2022-0051 10.1016/j.ijepes.2019.05.054 10.1007/978-3-642-14394-6_5 10.1016/j.matcom.2022.08.012 10.1016/j.chaos.2021.111105 10.1137/050645142 10.1016/j.cnsns.2023.107201 10.1038/s41598-022-20059-0 10.1016/j.jsv.2013.03.025 10.4171/072 10.2514/6.2009-976 10.1093/biomethods/bpac022 10.1016/j.chaos.2022.113008 10.1016/j.compchemeng.2023.108133 10.1201/9780203738283 10.1201/9781003168102 |
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SubjectTerms | 35R60 60H10 Differential calculus differential equation Differential equations Exact solutions Itô equation Numerical integration stochastic calculus |
Title | Construction of analytical solutions to systems of two stochastic differential equations |
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