Approximate Solution of PHI-Four and Allen–Cahn Equations Using Non-Polynomial Spline Technique

Mehboob Ul Haq (), Sirajul Haq, Ihteram Ali and Mohammad Javad Ebadi ()
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Mehboob Ul Haq: Faculty of Engineering Sciences, GIK Institute, Topi 23640, KP, Pakistan
Sirajul Haq: Faculty of Engineering Sciences, GIK Institute, Topi 23640, KP, Pakistan
Ihteram Ali: Department of Mathematics and Statistics, Women University Swabi, Swabi 23430, KP, Pakistan
Mohammad Javad Ebadi: Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, 39, 00186 Roma, Italy

Mathematics, 2024, vol. 12, issue 6, 1-15

Abstract: The aim of this work is to use an efficient and accurate numerical technique based on non-polynomial spline for the solution of the PHI-Four and Allen–Cahn equations. A recent discovery suggests that the PHI-Four equation focuses on its implications for particle physics and the behavior of scalar fields in the quantum realm. In materials science, ongoing research involves using the Allen–Cahn equation to understand and predict the evolution of microstructures in various materials as well as in biophysics. It depicts pattern formation in biological systems and the dynamics of spatial organization in tissues. To obtain an approximate solution of both equations, this technique uses forward differences for the time and cubic non-polynomial spline function for spatial descretization. The stability of the suggested technique is addressed using the von Neumann technique. Convergence test is carried out theoretically to show the order of convergence of the scheme. Some numerical tests are carried out to confirm accuracy and efficiency in terms of absolute error L R . Convergence rates for different test problems are also computed numerically. Numerical results and simulations obtained are compared with the existing methods.

Keywords: non-polynomial splines; Allen–Cahn equation; PHI-four equation; finite differences; von Neumann stability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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