DOI QR코드

DOI QR Code

THE MAXIMUM PRINCIPLE IN AN ASYMMETRIC WEIGHTED DIRECTED NETWORK

  • Malay Banerjee (Department of Mathematics and Statistics Indian Institute of Technology) ;
  • Zhi Ling (School of Mathematical Science Yangzhou University) ;
  • You Zhou (School of Mathematical Science Yangzhou University)
  • 투고 : 2024.02.01
  • 심사 : 2024.05.13
  • 발행 : 2025.01.31

초록

The reaction-diffusion equations on an asymmetric weighted digraph are concerned in this paper. We extend the (strong) maximum principle for classic reaction-diffusion systems in the continuous space when the Laplacian matrix of the digraph L is diagonally dominant. Some examples are provided to illustrate the results.

키워드

과제정보

This work was financially supported by the National Natural Science Foundation of China (No. 12171418 and 12371505), and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX24 3707).

참고문헌

  1. L. J. S. Allen, B. M. Bolker, Y. Lou, and A. L. Nevai, Asymptotic profiles of the steady states for an SIS epidemic patch model, SIAM J. Appl. Math. 67 (2007), no. 5, 1283–1309. https://doi.org/10.1137/060672522
  2. R. S. Cantrell and C. Cosner, Spatial Ecology via Reaction-Diffusion Equations, Wiley Series in Mathematical and Computational Biology, John Wiley & Sons, Ltd., Chichester, 2003. https://doi.org/10.1002/0470871296
  3. S. Chen, J. Shi, Z. Shuai, and Y. Wu, Asymptotic profiles of the steady states for an SIS epidemic patch model with asymmetric connectivity matrix, J. Math. Biol. 80 (2020), no. 7, 2327–2361. https://doi.org/10.1007/s00285-020-01497-8
  4. S. Chen, J. Shi, Z. Shuai, and Y. Wu, Global dynamics of a Lotka-Volterra competition patch model, Nonlinearity 35 (2022), no. 2, 817–842. https://doi.org/10.1088/1361-6544/ac3c2e
  5. J. Ge, D. He, Z. Lin, H. Zhu, and Z. Zhuang, Four-tier response system and spatial propagation of COVID-19 in China by a network model, Math. Biosci. 330 (2020), 108484, 10 pp. https://doi.org/10.1016/j.mbs.2020.108484
  6. H. Jiang, K.-Y. Lam, and Y. Lou, Are two-patch models sufficient? The evolution of dispersal and topology of river network modules, Bull. Math. Biol. 82 (2020), no. 10, Paper No. 131, 42 pp. https://doi.org/10.1007/s11538-020-00803-1
  7. Z. Liu and C. Tian, A weighted networked SIRS epidemic model, J. Differential Equations 269 (2020), no. 12, 10995–11019. https://doi.org/10.1016/j.jde.2020.07.038
  8. Y. Lou, Ideal free distribution in two patches, Journal of Nonlinear Modeling and Analysis, 1 (2019), 151–166. https://doi.org/10.12150/jnma.2019.151
  9. Y. Lou and F. Lutscher, Evolution of dispersal in open advective environments, J. Math. Biol. 69 (2014), no. 6-7, 1319–1342. https://doi.org/10.1007/s00285-013-0730-2
  10. J. D. Murray, Mathematical biology. II, third edition, Interdisciplinary Applied Mathematics, 18, Springer, New York, 2003.
  11. C. Tian, Z. Liu, and S. Ruan, Asymptotic and transient dynamics of SEIR epidemic models on weighted networks, European J. Appl. Math. 34 (2023), no. 2, 238–261. https://doi.org/10.1017/s0956792522000109
  12. C. Tian, Q. Zhang, and L. Zhang, Global stability in a networked SIR epidemic model, Appl. Math. Lett. 107 (2020), 106444, 6 pp. https://doi.org/10.1016/j.aml.2020.106444
  13. Y. Zhou, C. Tian, and Z. Ling, Dynamical behavior of the heroin epidemic model on a finite weighted network, Bull. Malays. Math. Sci. Soc. 46 (2023), no. 5, Paper No. 175, 27 pp. https://doi.org/10.1007/s40840-023-01568-1