Av-Avcı Problemleri için Kararlı Sonlu Eleman Yöntemleri Üzerine Bir Not
Bu çalışmada, konveksiyon-difüzyon-reaksiyon problemleri ile modellenebilen av-avcı denklem sistemlerinin simülasyonunda kullanılan sayısal çözüm tekniklerini iyileştirecek ve daha etkin sonuçlar üretecek sayısal bir yöntem önerilmiştir. Uzay ayrıklaştırması için, sonlu elemanlar metodunu uygularken seçilen polinom baz fonksiyonlarına ilaveten fonksiyon uzayının özel tip fonksiyonlarla (residual-free bubbles) zenginleştirilmesine dayanan Pseudo Residual-free Bubble (PRFB) yöntemi kullanılmıştır. Söz konusu yöntem, çeşitli test örneklerine uygulanmış olup elde edilen sayısal çözümlerin, literatürde mevcut olan sonuçlar ile iyi bir uyum içinde olduğu gözlemlenmiştir. Sayısal sonuçlar, önerilen yöntemin verimli ve uygulanabilir olduğunu göstermektedir.
A Note on Stabilized Finite Element Methods for Predator-Prey Systems
A numerical method that will improve and produce effective results for solving mathematical model forthe system of predator-prey interactions which is defined by convection-diffusion-reaction problem isstudied herein. We consider the Pseudo Residual-free Bubble (PRFB) method which is based onaugmenting the finite element space by appropriate functions for the space discretization. The methodis applied on different test problems and the numerical solutions are in good agreement with the resultavailable in literature. The numerical results depict that the algorithm is efficient and feasible.
___
- Allen, L. J. S., 2007. An Introduction to Mathematical
Biology. Marcia J. Horton, Pearson/Prentice Hall, New
Jersey, 365.
- Brezzi, F., Bristeau, M. O., Franca, L. P., Mallet, M. and
Roge, G., 1992. A relationship between stabilized finite
element methods and the Galerkin method with bubble
functions. Comput. Methods Appl. Mech. Engrg. 96,
117–129.
- Brezzi, F., Franca, L. P., Hughes, T.J.R. and Russo, A., 1997.
? = ∫ ?. Computer Methods in Applied Mechanics and
Engineering, 145, 329–339.
- Brezzi, F. and Russo, A., 1994. Choosing bubbles for
advection-diffusion problems. Mathematical Models
and Methods in Applied Sciences, 4, 571–587.
- Brezzi, F., Marini, D. and Russo, A., 1998. Applications of
pseudo residual-free bubbles to the stabilization of
convection-diffusion problems. Computer Methods in
Applied Mechanics and Engineering, 166, 51–63.
- Brezzi, F., Marini, D. and Russo, A., 2005. On the choice of
a stabilizing sub-grid for convection-diffusion problems.
Computer Methods in Applied Mechanics and
Engineering, 194, 127–148.
- Chong, O. A., Diniz, G. L. and Villatoro, F. R., 2005.
Dispersal of fish populations in dams: modelling and
simulation. Ecological modelling, 186, 290–298.
- Cosner, C., 2014. Reaction-diffusion-advection models for
the effects and evolution of dispersal. Discrete and
Continuous Dynamical Systems, 34, 1701–1745.
- Dimitrov, T.D. and Kojouharov, H.V., 2006. Positive and
elementary stable nonstandard numerical methods
with applications to predator - prey models. Journal of
Computational and Applied Mathematics, 189, 98–108.
- Dimitrov, D.T. and Kojouharov, H.V., 2007. Stabilitypreserving finite-difference methods for general multidimensional autonomous dynamical systems.
International Journal of Numerical Analysis and
Modeling, 4, 282–292.
- Franca, L. P., Nesliturk, A. and Stynes, M., 1998. On the
stability of residual-free bubbles for convectiondiffusion problems and their approximation by a twolevel finite element method. Computer Methods in
Applied Mechanics and Engineering, 166, 35–49.
- Garvie, M. R., 2007. Finite-Difference Schemes for
Reaction–Diffusion Equations Modeling Predator-Prey
Interactions in MATLAB. Bulletin of mathematical
biology, 69 (3), 931-956.
- Garvie, M. R., Burkardt, J. and Morgan, J., 2015. Simple
Finite Element Methods for Approximating PredatorPrey Dynamics in Two Dimensions Using Matlab.
Bulletin of mathematical biology, 77 (3), 548-578.
- Garzon-Alvarado, D.A., Galeano, C.H. and Mantilla, J.M.,
2012. Computational examples of reaction- convectiondiffusion equations solution under the influence of fluid
flow: First example. Applied Mathematical Modelling,
36, 5029–5045.
- Hilker, F.M. and Lewis, M.A., 2010. Predator-prey systems
in streams and rivers. Theoretical Ecology, 3, 175–193.
- Hughes, T. J. R., 1995. Multiscale phenomena: Green’s
functions, the Dirichlet-to-Neumann formulation,
subgrid scale models, bubbles and the origin of
stabilized methods. Computer Methods in Applied
Mechanics and Engineering, 127, 387–401.
- Medvinsky, A. B., Petrovskii, S. V., Tikhonova, I. A.,
Malchow, H. and Li, B. L., 2002. Spatiotemporal
complexity of plankton and fish dynamics. SIAM review,
44, 311–370.
- Meyer, J. F. C. A., and Diniz, G. L., 1997. Changes of habitat
of fish populations: a mathematical model.
International Journal of Mathematical Education in
Science and Technology, 28, 519–529.
- Mickens, R. E., 1994. Nonstandard finite difference model
of differential equations. World Scientific, Singapore.
Moghadas, S. M., Alexander, M. E. and Corbett, B. D. A.,
2004. Non-standard numerical scheme for a
generalized Gause-type predator-prey model. Journal
of Physics D, 188, 134–151.
- Murray, J. D., 2003. Mathematical Biology II: Spatial
Models and Biomedical Applications. Interdisciplinary
Applied Mathematics, 18, Springer, New York.
- Sendur, A. and Nesliturk, A. I., 2012. Applications of the
pseudo residual-free bubbles to the stabilization of
convection-diffusion-reaction problems. Calcolo, 49,
1–19.
- Sendur, A., Nesliturk, A. I. and Kaya, A., 2014. Applications
of the pseudo residual-free bubbles to the stabilization
of the convection-diffusion-reaction problems in 2D.
Computer Methods in Applied Mechanics and
Engineering, 277, 154–179.
- Stefano, M., Perotto, S. and David, F., 2013. Model
adaptation enriched with an anisotropic mesh spacing
for nonlinear equations: application to environmental
and CFD problems. Numerical Mathematics: Theory,
Methods and Applications, 6, 447–478.
- Zhang, T. and Jin, Y., 2017. Traveling waves for a reactiondiffusion-advection predator-prey model. Nonlinear
Analysis: Real World Applications, 36, 203–232.