Volume 17, no. 2Pages 83 - 95

Numerical Algorithm and Computational Experiments for One Linear Stochastic Hoff Model

E.A. Soldatova, A.V. Keller
Investigated is a model of deformation in a structure composed of I-beams with random external effect; it is based on stochastic Hoff equations with an initial-final condition. The article describes an algorithm for a numerical solution of the initial-final problem for stochastic Hoff equations; the algorithm is based on the Galerkin method. Provided is a numerical investigation algorithm providing for numerical solutions for both degenerate and non-degenerate equations. The main theoretical results that enabled this numerical investigation are the methods of the theory of degenerate groups of operators and of the theory of the Sobolev type equations. The algorithms are represented by schemes enabling building flowcharts of programs for computational experiments. Results of computational experiments. In addition, numerical investigation of the stochastic model involves further obtaining and processing the results of n experiments at various values of a random variable, including those related to rare events.
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Keywords
Hoff model; geometric graph; initial-final condition; numerical investigation; algorithm; Sobolev type stochastic equations; computational experiment.
References
1. Frolov А.V. Dinamiko-stokhasticheskie modeli mnogoletnikh kolebanii urovnya protochnykh ozer [Dynamic-Stochastic Models of Long-Term Level Fluctuations in Non-Terminal Lakes]. Moscow, Nauka, 1985. (in Russian)
2. Breer V.V., Novikov D.A., Rogatkin A.D. Stochastic Models of Mob Control. Automation and Remote Control, 2016, vol. 77, pp. 895-913. DOI: 10.1134/S000511791605012X
3. Kibzun А.I., Ivanov S.V., Stepanova А.S. Construction of Confidence Absorbing Set for Analysis of Static Stochastic Systems. Automation and Remote Control, 2020, vol. 81, no. 4, pp. 589-601. DOI: 10.1134/S0005117920040025
4. Nelson E. Dynamical Theories of Brownian Motion. Princeton, Princeton University Press, 1967.
5. Gliklikh Yu.E. Global and Stochastic Analisys with Applications to Mathematical Physicas. London, Dordrecht, Heidelberg, New York, Springer, 2011.
6. Sviridyuk G.A., Manakova N.A. The Dynamical Models of Sobolev Type with Showolter-Sidorov Condition and Additive "Noise". Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2014, vol. 7, no. 1, pp. 90-103. DOI: 10.14529/mmp140108
7. Favini A., Sviridyuk G.A., Manakova N.A. Linear Sobolev Type Equations with Relatively p-Sectorial Operators in Space of "Noises". Abstract and Applied Analysis, 2015, vol. 2015, article ID: 697410, 8 p. DOI: 10.1155/2015/697410
8. Favini A., Sviridyuk G.A., Zamishlyaeva A.A. One Class of Sobolev Type Equations of Higher Order with Additive "White Noise". Communications on Pure and Applied Analysis, 2016, vol. 15, issue 1, pp. 185-196. DOI: 10.3934/cpaa.2016.15.185
9. Favini A., Sviridyuk G., Sagadeeva M. Linear Sobolev Type Equations with Relatively p-Radial Operators in Space of "Noises". Mediterranean Journal of Mathematics, 2016, vol. 13, issue 6, pp. 4607-4621. DOI: 10.1007/s00009-016-0765-x
10. Zagrebina S., Sukacheva T., Sviridyuk G. The Multipoint Initial-Final Value Problems for Linear Sobolev-Type Equations with Relatively p-Sectorial Operator and Additive "Noise". Global and Stochastic Analysis, 2018, vol. 5, no. 2, pp. 129-143.
11. Shestakov A.L., Keller A.V., Sviridyuk G.A. The Theory of Optimal Measurements. Journal of Computational and Engineering Mathematics, 2014, vol. 1, issue 1, pp. 3-16.
12. Da Prato G., Zabczyk J. Stochastic Equations in Infinite Dimensions. Cambridge, Cambridge University Press, 1992.
13. Melnikova I.V., Filinkov A.I., Anufrieva U.A. Abstract Stochastic Equations. I. Classical and Distributional Solutions. Journal of Mathematical Sciences, 2002, vol. 111, no. 2, pp. 3430-3475.
14. Kovacuteacs M., Larsson S. Introduction to Stochastic Partial Differential Equations. Proceedings of New Directions in the Mathematical and Computer Sciences, Abuja, 2008, vol. 4, pp. 159-232.
15. Zamyshlyaeva А.А. Stochastic Incomplete Linear Sobolev Type High-Ordered Equations with Additive White Noise. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2012, no. 40 (299), issue 14, pp. 73-82.
16. Zagrebina S.А., Soldatova E.A. The Linear Sobolev-Type Equations With Relatively p-Bounded Operators and Additive White Noise. Bulletin of Irkutsk State University. Series: Mathematics, 2013, vol. 6, no. 1, pp. 20-34.
17. Hoff N.J. The Analysis of Structures. New York, John Wiley, 1956.
18. Sidorov N.A. Obshchie voprosy regulyarizacii v zadachah teorii vetvleniya [General Questions of Regularization in Problems of Bifurcation Theory]. Irkutsk, Irkutsk State University Publisher, 1982. (in Russian)
19. Sidorov N.A., Romanova O.A. On Application of Some Results of the Branching Theory in the Process of Solving Differential Equations with Degeneracy. Differential Equations, 1983, vol. 19, no. 9, pp. 1516-1526.
20. Sidorov N.A., Falaleev M.V. Generalized Solution of Differential Equations with a Fredholm Operator at the Derivative. Differential Equations, 1987, vol. 23, no. 4, pp. 726-728.
21. Sviridyuk G.A., Shemetova V.V. Hoff Equations on Graphs. Differential Equations, 2006, vol. 42, no. 1, pp. 139-145. DOI: 10.1134/S0012266106010125
22. Sviridyuk G.A., Bayazitova A.A. On Direct and Inverse Problems for the Hoff Equations on Graph. Journal of Samara State Technical University. Series: Physical and Mathematical Sciences, 2009, no. 1 (18), pp. 6-17.
23. Zagrebina S.А., Moskvicheva P.O. Stability in Hoff Models. Saarbrucken, LAMBERT Academic Publishing, 2012. (in Russian)
24. Manakova N.A., Dylkov А.G. Optimal Control of Solutions of Initial-Finish Problem for the Linear Sobolev Type Equations. Bulletin of the South Ural State University. Series: Mathematical Modeling, Programming and Computer Software, 2011, no. 17 (234), issue. 8, pp. 113-114.
25. Sagadeeva M.A., Generalov A.V. Numerical Solution for Non-Stationary Linearized Hoff Equation Defined on Geometrical Graph. Journal of Computational and Engineering Mathematics, 2018, vol. 5, no. 3, pp. 61-74.
26. Favini A., Zagrebina S.A., Sviridyuk G.A. The Multipoint Initial-Final Value Condition for the Hoff Equations on Geometrical Graph in Spaces of K-"Noises". Mediterranean Journal of Mathematics, 2022, vol. 19, article ID: 53. DOI: 10.1007/s00009-021-01940-0
27. Soldatova E.A. The Initial-Final Problem for the linear Stochastic Hoff Model. Bulletin of the South Ural State University. Series: Mathematical Modeling and Programming and Computer Software, 2014, vol. 7, no. 2, pp. 124-128. DOI: 10.14529/mmp140212