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Insight into Reformulation of an A-stable Runge-Kutta (RK) Method as an Implicit Runge-Kutta-Nystrom (RKN) Method for Directly Solving Second-order ODEs

Received: 18 February 2026     Accepted: 5 March 2026     Published: 8 April 2026
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Abstract

This work intends to contribute to the growing literature on the direct numerical solution of special and general second-order initial value problems (IVPs) of ordinary differential equations (ODEs) by reformulating an A-stable Runge-Kutta (RK) method as a type of implicit Runge–Kutta–Nystrӧm methods (RKN). Unlike traditional methods that reduce second-order IVPs of ODEs to equivalent systems of first-order IVPs, the approach in this work preserves the original problem structure while also benefiting from the sixth-order accuracy and A-stability of the GLRK method. Using an extended Butcher array, the resulting RKN coefficients are obtained explicitly, ensuring they meet the consistency and order conditions. The linear stability analysis reveals a broad stability region, which is necessary for handling stiff and oscillatory systems. Application of the method to numerical examples shows that it offers better accuracy than most existing methods, while maintaining a similar computational cost. This reformulation strategy paves the way for deriving high-order A-stable RKN methods based on existing RK schemes.

Published in Engineering Mathematics (Volume 10, Issue 1)
DOI 10.11648/j.engmath.20261001.12
Page(s) 14-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

A-stable, Stiff and Oscillatory Differential Equation, Runge–Kutta–Nystrӧm Methods, Numerical Analysis

References
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    Lukuman, M. A. (2026). Insight into Reformulation of an A-stable Runge-Kutta (RK) Method as an Implicit Runge-Kutta-Nystrom (RKN) Method for Directly Solving Second-order ODEs. Engineering Mathematics, 10(1), 14-23. https://doi.org/10.11648/j.engmath.20261001.12

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    ACS Style

    Lukuman, M. A. Insight into Reformulation of an A-stable Runge-Kutta (RK) Method as an Implicit Runge-Kutta-Nystrom (RKN) Method for Directly Solving Second-order ODEs. Eng. Math. 2026, 10(1), 14-23. doi: 10.11648/j.engmath.20261001.12

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    AMA Style

    Lukuman MA. Insight into Reformulation of an A-stable Runge-Kutta (RK) Method as an Implicit Runge-Kutta-Nystrom (RKN) Method for Directly Solving Second-order ODEs. Eng Math. 2026;10(1):14-23. doi: 10.11648/j.engmath.20261001.12

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  • @article{10.11648/j.engmath.20261001.12,
      author = {Momoh Adelegan Lukuman},
      title = {Insight into Reformulation of an A-stable Runge-Kutta (RK) Method as an Implicit Runge-Kutta-Nystrom (RKN) Method for Directly Solving Second-order ODEs
    },
      journal = {Engineering Mathematics},
      volume = {10},
      number = {1},
      pages = {14-23},
      doi = {10.11648/j.engmath.20261001.12},
      url = {https://doi.org/10.11648/j.engmath.20261001.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20261001.12},
      abstract = {This work intends to contribute to the growing literature on the direct numerical solution of special and general second-order initial value problems (IVPs) of ordinary differential equations (ODEs) by reformulating an A-stable Runge-Kutta (RK) method as a type of implicit Runge–Kutta–Nystrӧm methods (RKN). Unlike traditional methods that reduce second-order IVPs of ODEs to equivalent systems of first-order IVPs, the approach in this work preserves the original problem structure while also benefiting from the sixth-order accuracy and A-stability of the GLRK method. Using an extended Butcher array, the resulting RKN coefficients are obtained explicitly, ensuring they meet the consistency and order conditions. The linear stability analysis reveals a broad stability region, which is necessary for handling stiff and oscillatory systems. Application of the method to numerical examples shows that it offers better accuracy than most existing methods, while maintaining a similar computational cost. This reformulation strategy paves the way for deriving high-order A-stable RKN methods based on existing RK schemes.
    },
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Insight into Reformulation of an A-stable Runge-Kutta (RK) Method as an Implicit Runge-Kutta-Nystrom (RKN) Method for Directly Solving Second-order ODEs
    
    AU  - Momoh Adelegan Lukuman
    Y1  - 2026/04/08
    PY  - 2026
    N1  - https://doi.org/10.11648/j.engmath.20261001.12
    DO  - 10.11648/j.engmath.20261001.12
    T2  - Engineering Mathematics
    JF  - Engineering Mathematics
    JO  - Engineering Mathematics
    SP  - 14
    EP  - 23
    PB  - Science Publishing Group
    SN  - 2640-088X
    UR  - https://doi.org/10.11648/j.engmath.20261001.12
    AB  - This work intends to contribute to the growing literature on the direct numerical solution of special and general second-order initial value problems (IVPs) of ordinary differential equations (ODEs) by reformulating an A-stable Runge-Kutta (RK) method as a type of implicit Runge–Kutta–Nystrӧm methods (RKN). Unlike traditional methods that reduce second-order IVPs of ODEs to equivalent systems of first-order IVPs, the approach in this work preserves the original problem structure while also benefiting from the sixth-order accuracy and A-stability of the GLRK method. Using an extended Butcher array, the resulting RKN coefficients are obtained explicitly, ensuring they meet the consistency and order conditions. The linear stability analysis reveals a broad stability region, which is necessary for handling stiff and oscillatory systems. Application of the method to numerical examples shows that it offers better accuracy than most existing methods, while maintaining a similar computational cost. This reformulation strategy paves the way for deriving high-order A-stable RKN methods based on existing RK schemes.
    
    VL  - 10
    IS  - 1
    ER  - 

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