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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2023 Volume 63, Number 12, Page 2158 (Mi zvmmf11681)

Ordinary differential equations

A novel fitted method for a class of singularly perturbed differential-difference equations with small delay exhibiting twin layer or oscillatory behaviour

Javed Alam, Hari Shankar Prasad, Rakesh Ranjan

Department of Mathematics, National Institute of Jamshedpur, Jharkhand-831014, India

Abstract: A new exponentially fitted three term method is developed for the numerical treatment of a class of linear second order singularly perturbed differential-difference equations (SPDDEs) which involves the small delay in un-differentiated term. The solution of such equations with the interval and boundary conditions exhibits twin layer or oscillatory behaviour. The method uses the Taylor’s series expansion for constructing an equivalent valid version of the original problem first and then, to derive a new three term finite difference recurrence relationship/scheme. The non-uniformity in the solution is resolved by the introduction of a suitable fitting parameter in the derived new scheme. Finally the resulting system of algebraic equations is solved by the well known “discrete invariant algorithm”. Method is analyzed for the stability and convergence, and the theory is illustrated by solving several test example problems. Computational results are tabulated and compared to show the applicability, accuracy and efficiency of the method. Theory and computation show that the method is able to approximate the solution very well with second order convergence rate.

Key words: differential-difference equation, singular perturbation problem, boundary layer, stability and convergence, finite difference method.

UDC: 519.62

Received: 09.10.2021
Revised: 15.08.2023
Accepted: 22.08.2023

Language: English

DOI: 10.31857/S0044466923120037


 English version:
Computational Mathematics and Mathematical Physics, 2023, 63:12, 2528–2550

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© Steklov Math. Inst. of RAS, 2024