Method of lines and Runge-Kutta method for solving delayed one dimensional transport equation
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Authors
S. Karthick
- Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamilnadu, India.
R. Mahendran
- Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamilnadu, India.
V. Subburayan
- Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamilnadu, India.
Abstract
In this article we consider a delayed one dimensional transport equation. The method of lines with Runge-Kutta method is applied to solve the problem. It is proved that the present method is stable and convergence of order \(O(\Delta t+\bar{h}^{4})\). Numerical examples are presented to illustrate the method presented in this article.
Share and Cite
ISRP Style
S. Karthick, R. Mahendran, V. Subburayan, Method of lines and Runge-Kutta method for solving delayed one dimensional transport equation, Journal of Mathematics and Computer Science, 28 (2023), no. 3, 270--280
AMA Style
Karthick S., Mahendran R., Subburayan V., Method of lines and Runge-Kutta method for solving delayed one dimensional transport equation. J Math Comput SCI-JM. (2023); 28(3):270--280
Chicago/Turabian Style
Karthick, S., Mahendran, R., Subburayan, V.. "Method of lines and Runge-Kutta method for solving delayed one dimensional transport equation." Journal of Mathematics and Computer Science, 28, no. 3 (2023): 270--280
Keywords
- Stable method
- Runge-Kutta method
- transport equation
- method of lines
MSC
- 34K10
- 35B50
- 35F10
- 65M06
- 65M12
- 65M15
References
-
[1]
A. N. Al-Mutib, Stability properties of numerical methods for solving delay differential equations, J. Comput. Appl. Math., 10 (1984), 71--79
-
[2]
D. D. Bainov, Z. Kamont, E. Minchev, Comparison principles for impulsive hyperbolic equations of first order, J. Comput. Appl. Math., 60 (1995), 379--388
-
[3]
J. Banasiak, J. R. Mika, Singularly perturbed telegraph equations with applications in the random walk theory, J. Appl. Math. Stochastic Anal., 11 (1998), 9--28
-
[4]
A. Bellen, M. Zennaro, Numerical methods for delay differential equations, Oxford University Press, New York (2013)
-
[5]
Z. L. Feng, H. R. Thieme, Endemic models with arbitrarily distributed periods of infection I: fundamental properties of the model, SIAM J. Appl. Math., 61 (2000), 803--833
-
[6]
K. Gopalsamy, Stability and Oscillations in Delay Differential Equations of Population Dynamics, Kluwer Academic Publishers, Dordrecht (1992)
-
[7]
E. Hairer, G. Wanner, Solving ordinary differential equations II, Springer, Berlin (1996)
-
[8]
H. W. Hethcote, P. van den Driessche, An SIS epidemic model with variable population size and a delay, J. Math. Biol., 34 (1995), 177--194
-
[9]
H. W. Hethcote, P. van den Driessche, Two SIS epidemiologic models with delays, J. Math. Biol., 40 (2000), 3--26
-
[10]
A. V. Holden, Models of the stochastic activity of neurons, Springer Science and Business Media, Berlin (2013)
-
[11]
S. Karthick, V. Subburayan, Finite Difference Methods with Interpolation for First-Order Hyperbolic Delay Differential Equations, In: Differential equations and applications, 2021 (2021), 147--161
-
[12]
S. Karthick, V. Subburayan, R. P. Agrwal, Stable Difference Schemes with Interpolation for Delayed One-Dimensional Transport Equation, Symmetry, 14 (2022), 18 pages
-
[13]
Y. Kuang, Delay Differential Equations with applications in population dynamics, Academic Press, San Diego (1993)
-
[14]
H. P. Langtangen, S. Linge, Finite difference computing with PDEs: a modern software approach, Springer, Cham (2017)
-
[15]
Z. Li, Z. Qiao, T. Tang, Numerical solution of differential equations: introduction to finite difference and finite element methods, Cambridge University Press, Cambridge (2017)
-
[16]
X.-D. Liu, A maximum principle satisfying modification of triangle based adapative stencils for the solution of scalar hyperbolic conservation laws, SIAM J. Numer. Anal., 30 (1993), 701--716
-
[17]
J. Loustau, Numerical Differential Equations, World Scientific, Hackensack (2016)
-
[18]
S. Mazumder, Numerical methods for partial differential equations, Elsevier/Academic Press, Amsterdam (2015)
-
[19]
J. J. H. Miller, E. O’riordan, G. I. Shishkin, Fitted numerical methods for singular perturbation problems, World scientific, New York (1996)
-
[20]
M. H. Protter, H. F. Weinberger, Maximum principles in differential equations, Prentice-Hall, Englewood Cliffs (1967)
-
[21]
P. Rai, K. K. Sharma, Numerical study of singularly perturbed differential-difference equation arising in the modeling of neuronal variability, Comput. Math. Appl., 63 (2012), 118--132
-
[22]
M. M. Rana, V. E. Howle, K. Long, A. Meek, A New Block Preconditioner for Implicit Runge–Kutta Methods for Parabolic PDE Problems, SIAM J. Sci. Comput.,, 43 (2021), 475--495
-
[23]
K. K. Sharma, P. Singh, Hyperbolic partial differential-difference equation in the mathematical modeling of neuronal firing and its numerical solution, Appl. Math. Comput., 201 (2008), 229--238
-
[24]
S. Singh, V. K. Patel, V. K. Singh, Application of wavelet collocation method for hyperbolic partial differential equations via matrices, Appl. Math. Comput., 320 (2018), 407--424
-
[25]
P. Singh, K. K. Sharma, Numerical solution of first-order hyperbolic partial differential-difference equation with shift, Numer. Methods Partial Differential Equations, 26 (2010), 107--116
-
[26]
G. D. Smith, Numerical Solution of Partial Differential Equations: Finite Difference Methods, Oxford University Press, New York (1985)
-
[27]
H. Smith, An introduction to delay differential equations with applications to the life sciences, Springer, New York (2011)
-
[28]
R. B. Stein, A theoretical analysis of neuronal variability, Biophys. J., 5 (1965), 173--194
-
[29]
R. B. Stein, Some models of neuronal variability, Biophys. J., 7 (1967), 37--68
-
[30]
J. C. Strikwerda, Finite difference schemes and partial differential equations, SIAM, Philadelphia (2004)
-
[31]
V. Subburayan, N. Ramanujam, An asymptotic numerical method for singularly perturbed convection-diffusion problems with a negative shift, Neural Parallel Sci. Comput., 21 (2013), 431--446
-
[32]
V. Subburayan, N. Ramanujam, An initial value technique for singularly perturbed convection-diffusion problems with a negative shift, J. Optim. Theory Appl., 158 (2013), 234--250
-
[33]
E. Suli, D. F. Mayers, An introduction to numerical analysis, Cambridge university press, Cambridge (2003)
-
[34]
Y. Takei, Y. Iwata, Numerical Scheme Based on the Implicit Runge-Kutta Method and Spectral Method for Calculating Nonlinear Hyperbolic Evolution Equations, Axioms, 11 (2022), 19 pages
-
[35]
R. F. Warming, B. J. Hyett, The modified equation approach to the stability and accuracy analysis of finite-difference methods, J. Comput. phys., 14 (1974), 159--179