Increasing the Accuracy of Solving Boundary Value Problems with Linear Ordinary Differential Equations Using the Bubnov-Galerkin Method
https://doi.org/10.23947/2587-8999-2024-8-4-7-18
Abstract
Introduction. This study investigates the possibility of increasing the accuracy of numerically solving boundary value problems using the modified Bubnov-Galerkin method with a linear ordinary differential equation, where the coefficients and the right-hand side are continuous functions. The order of the differential equation n must be less than the number of coordinate functions m.
Materials and Methods. A modified Petrov-Galerkin method was used to numerically solve the boundary value problem. It employs a system of linearly independent power-type basis functions on the interval [−1,1], each normalized by the unit Chebyshev norm. The system of linear algebraic equations includes only the linearly independent boundary conditions of the original problem.
Results. For the first time, an integral quadrature formula with a 22nd order error was developed for a uniform grid. This formula is used to calculate the matrix elements and coefficients in the right-hand side of the system of linear algebraic equations, taking into account the scalar product of two functions based on the new quadrature formula. The study proves a theorem on the existence and uniqueness of a solution for boundary value problems with general non-separated conditions, provided that n linearly independent particular solutions of a homogeneous differential equation of order n are known.
Discussion and Conclusion. The hydrodynamic problem in a viscous strong boundary layer with a third-order equation was precisely solved. The analytical solution was compared with its numerical counterpart, and the uniform norm of their difference did not exceed 5·10‒15. The formulas derived using the generalized Bubnov-Galerkin method may be useful for solving boundary value problems with linear ordinary differential equations of the third and higher orders.
About the Authors
N. К. VolosovaRussian Federation
Natalya K. Volosova - Post-graduate Student
2nd Baumanskaya St. 5‒1, Moscow, 105005
K. A. Volosov
Russian Federation
Konstantin A. Volosov - Doctor of Physical and Mathematical Sciences, Professor of the Department of Applied Mathematics
Obraztsova St. 9‒9, Moscow, GSP-4, 127994
A. K. Volosova
Russian Federation
Aleksandra K. Volosova - Candidate of Physical and Mathematical Sciences, Chief Analytical Department “Tramplin” LLC
Obraztsova St. 9‒9, Moscow, GSP-4, 127994
M. I. Karlov
Russian Federation
Mikhail I. Karlov - Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Mathematics
9, Institutsky Lane, GSP-4, Dolgoprudny, 141701
D. F. Pastukhov
Belarus
Dmitriy F. Pastukhov - Candidate of Physical and Mathematical Sciences, Associate Professor
Blokhin St. 29, Novopolotsk, 211440
Yu. F. Pastukhov
Belarus
Yuriy F. Pastukhov - Candidate of Physical and Mathematical Sciences,Associate Professor
Blokhin St. 29, Novopolotsk, 211440
References
1. Bahvalov N.S., Zhidkov N.P., Kobelkov G.M. Numerical methods: a textbook for students of physics and mathematics specialties of higher educational institutions. Binom. lab. Knowledge; 2011. 636 p. (In Russ.)
2. Ershova, T.Ya. Boundary value problem for a third-order differential equation with a strong boundary layer. Bulletin of Moscow University. Episode 15: Computational mathematics and cybernetics. 2020;1:30–39. (In Russ.) https://doi.org/10.3103/S0278641920010057
3. Ershova, T.Ya. On the convergence of a grid solution to the problem for a third-order equation in the case of a strong boundary layer. Lomonosov readings: scientific conference. Moscow: MAKS Press LLC, 2020. P. 77‒78. (In Russ.)
4. Volosova N.K. [et al.]. Modified Bubnov-Galerkin method for solving boundary value problems with a linear ordinary differential equation. Computational Mathematics and Information Technologies. 2024;8(3):23‒33. (In Russ.) https://doi.org/10.23947/2587-8999-2024-8-3-23-33
5. Bahvalov N.S., Lapin A.V., Chizhonkov E.V. Numerical methods in problems and exercises. Moscow: BINOM. Knowledge laboratory; 2010. 240 p. (In Russ.).
6. Petrov A.G. High-precision numerical schemes for solving plane boundary value problems for a polyharmonic equation and their application to problems of hydrodynamics. Applied Mathematics and Mechanics. 2023;87(3):343–368 (In Russ.) https://doi.org/10.31857/S0032823523030128
7. Proskurin D.K., Sysoev D.V., Sazonova S.A. Convergence of the computational process when implementing the variational method for solving the boundary value problem of hydrodynamics. Bulletin of the Voronezh State Technical University. 2021;17(3):14‒19. (In Russ.) https://doi.org/10.36622/VSTU.2021.17.3.002
8. Sidoryakina V.V., Solomaha D.A. Symmetrized versions of the Seidel and upper relaxation methods for solving twodimensional difference problems of elliptic. Computational Mathematics and Information Technologies. 2023;7(3):12‒19. (In Russ.) https://doi.org/10.23947/2587-8999-2023-7-3-12-19
9. Alekseev V.M., Galeev E.M., Tikhomirov V.M. Collection of optimization problems: Theory. Examples. Problems. Moscow: Fizmatlit; 2008. 256 p. (In Russ.)
Review
For citations:
Volosova N.К., Volosov K.A., Volosova A.K., Karlov M.I., Pastukhov D.F., Pastukhov Yu.F. Increasing the Accuracy of Solving Boundary Value Problems with Linear Ordinary Differential Equations Using the Bubnov-Galerkin Method. Computational Mathematics and Information Technologies. 2024;8(4):7-18. https://doi.org/10.23947/2587-8999-2024-8-4-7-18