Solution of a non-homogeneous dynamic equation on a time scale

Document Type : Research Paper

Authors

1 Al-Ryada University for Science and Technology, Sadat City, Menoufia, Egypt.

2 Mathematics Department, Faculty of Science, Al-Azhar University, Nasr-City, Cairo, Egypt.

3 Mathematics Education Program, Faculty of Education and Arts, Sohar University, Sohar 311, Oman.

Abstract

We find the general solution to the non-homogeneous dynamic equation, which is a combination of discrete and continuous mathematics. The nature of this equation requires a careful approach, as it involves elements of both types of math, making it both versatile and challenging. To address this, we will derive the formula for the general solution of the non-homogeneous equation, incorporating the given initial conditions. During this process, we will define several critical points that may be either discrete, continuous, or a mix of both. By analyzing these points, we aim to capture the essence of the dynamic behavior of the system. Our approach involves finding an analytical solution to the equation and comparing it with a numerical approximation to evaluate their accuracy. We will graph both the analytical and numerical solutions to visualize their behavior and identify any discrepancies. Additionally, we will calculate the absolute error between the exact solution and the numerical solution to quantify the differences precisely. This comparison provides valuable insights into the accuracy and stability of numerical methods for solving such equations. Finally, we will demonstrate this approach by applying it to various examples, showcasing the methodology’s effectiveness in solving a range of non-homogeneous dynamic equations with different initial conditions and parameters.

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Main Subjects


  • [1] B. A. Anderson, Difference equations as a part of time scale calculus, Journal of Mathematical Analysis and Applications, 315(1) (2006), 78–89.
  • [2] B. A. Anderson, Applications of time scale calculus in biology, Mathematical Biology, 55(1) (2014), 42–58.
  • [3] M. A. Anderson and M. Fisher, Financial modeling using time scales, Journal of Financial Markets, 18(3) (2015), 103–124.
  • [4] F. M. Atici and F. Uysal, Mathematical models on time scales: Applications and advancements, Advances in Dynamical Systems and Applications, 5(1) (2010), 25–41.
  • [5] D. S. Atkinson and J. Burch, Modeling hybrid systems using time scales, Journal of Computational and Nonlinear Dynamics, 1(2) (2005), 151–159.
  • [6] B. Aulbach and S. Hilger, Linear dynamic processes with time scales, in: V. Lakshmikantham (Ed.), World Congress of Nonlinear Analysts, Pergamon Press, (1988), 59–84.
  • [7] M. Bohner, Dynamic systems on time scales, Communications in Nonlinear Science and Numerical Simulation, 7(1) (2002), 4–14.
  • [8] M. Bohner, Time scales in science and engineering: A review, Journal of Mathematical Analysis and Applications, 444(2) (2017), 1016–1035.
  • [9] M. Bohner and S. G. Georgiev, Multivariable dynamic calculus on time scales, Springer International Publishing, (2016).
  • [10] M. Bohner and A. Peterson, Dynamic equations on time scales, Birkhäuser Boston, (2001), 1–358.
  • [11] M. Bohner and A. Peterson, Advances in dynamic equations on time scales, Birkhäuser Boston, (2003).
  • [12] M. Bohner et al., Unified time scale approaches to physics, Journal of Mathematical Physics, 45(3) (2004), 1002– 1023.
  • [13] S. R. Davis and A. G. Anderson, Applications of time scale calculus in control theory, Mathematical Control Theory, 15(2) (2010), 99–115.
  • [14] R. Gorenflo and Y. Luchko, Time scales in mathematical analysis, The American Mathematical Monthly, 108(5) (2001), 402–418.
  • [15] S. G. Georgiev and A. M. Erhan, Numerical analysis on time scales, Walter de Gruyter GmbH, Berlin, (2022).
  • [16] C. Harris, Utilizing time scales for hybrid modeling, Mathematics and Computer Modeling, 51(1–2) (2010), 263– 276.
  • [17] S. M. Harris, Unified approach to studying complex systems using time scale theory, Chaos, Solitons and Fractals, 116 (2018), 206–212.
  • [18] S. Hilger, Analysis on measure chains: A unified approach to continuous and discrete calculus, Results in Mathematics, 18(1) (1988), 18–56.
  • [19] S. Hilger, A new approach to differential equations on time scales, International Journal of Mathematics and Mathematical Sciences, 18(1) (1995), 107–116.
  • [20] J. He, On the delta derivative in time scale calculus, Applied Mathematics and Computation, 178(2) (2006), 518–524.
  • [21] L. Liu and Y. Zhang, New insights into hybrid phenomena using time scale theory, Journal of Applied Mathematics, 2016 (2016), Article ID 5676147.
  • [22] J. M. Liu, Mathematical modeling of complex systems with discrete and continuous processes, Journal of Mathematical Biology, 58(3) (2009), 467–486.
  • [23] X. Liu and S. Zhang, Discrete control of continuous systems: An introduction, Control Theory and Technology, 11(2) (2013), 157–166.