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JOURNALS // Vestnik Yuzhno-Ural'skogo Universiteta. Seriya Matematicheskoe Modelirovanie i Programmirovanie // Archive

Vestnik YuUrGU. Ser. Mat. Model. Progr., 2015 Volume 8, Issue 4, Pages 5–13 (Mi vyuru284)

This article is cited in 3 papers

Mathematical Modelling

An integral method for the numerical solution of nonlinear singular boundary value problems

M. V. Bulatovab, P. M. Limac, Thanh Do Tienb

a Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk, Russian Federation
b Irkutsk National Research Technical University, Irkutsk, Russian Federation
c Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal

Abstract: We discuss the numerical treatment of a nonlinear singular second order boundary value problem in ordinary differential equations, posed on an unbounded domain, which represents the density profile equation for the description of the formation of microscopic bubbles in a non-homogeneous fluid. Due to the fact that the nonlinear differential equation has a singularity at the origin and the boundary value problem is posed on an unbounded domain, the proposed approaches are complex and require a considerable computational effort. This is the motivation for our present study, where we describe an alternative approach, based on the reduction of the original problem to an integro-differential equation. In this way, we obtain a Volterra integro-differential equation with a singular kernel. The numerical integration of such equations is not straightforward, due to the singularity. However, in this paper we show that this equation may be accurately solved by simple product integration methods, such as the implicit Euler method and a second order method, based on the trapezoidal rule. We illustrate the proposed methods with some numerical examples.

Keywords: density profile equation; singular boundary value problem; integro-differential equation; implicit Euler method.

UDC: 519.62

MSC: 65R20

Received: 05.05.2015

Language: English

DOI: 10.14529/mmp150401



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