Communications on Applied Mathematics and Computation ›› 2023, Vol. 5 ›› Issue (3): 1247-1255.doi: 10.1007/s42967-022-00198-x

• ORIGINAL PAPER • Previous Articles     Next Articles

Global Existence and Stability of Solutions to River Flow System

Xian-ting Wang1, Yun-guang Lu2, Naoki Tsuge3   

  1. 1. Wuxi Institute of Technology, Wuxi, 214121, Jiangsu, China;
    2. K. K. Chen Institute for Advanced Studies, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China;
    3. Department of Mathematics, Faculty of Education, Gifu University, Gifu, Japan
  • Received:2021-11-16 Revised:2022-05-02 Online:2023-09-20 Published:2023-08-29
  • Contact: Yun-guang Lu,E-mail:ylu2005@ustc.edu.cn E-mail:wangxt@wxit.edu.cn;ylu2005@ustc.edu.cn;tuge@gifu-u.ac.jp
  • Supported by:
    This paper is dedicated, with respect, to Prof. Tong Zhang on the occasion of his 90th birthday. The first author is supported by the Zhejiang Natural Science Foundation of China (Grant No. LY17A010019); the second author is supported by the Zhejiang Natural Science Foundation of China (Grant No. LY20A010023) and the National Natural Science Foundation of China (Grant No. 12071106) and the third author is supported by the Grant-in-Aid for Scientific Research (C) 17K05315, Japan.

Abstract: In this short note, we are concerned with the global existence and stability of solutions to the river flow system. We introduce a new technique to set up a relation between the Riemann invariants and the finite mass to obtain a time-independent, bounded solution for any adiabatic exponent. The global existence of solutions was known long ago [Klingenberg and Lu in Commun. Math. Phys. 187: 327–340, 1997]. However, since the uncertainty of the function b(x), which corresponds physically to the slope of the topography, the L estimates growed larger with respect to the time variable. As a result, it does not guarantee the stability of solutions. By employing a suitable mathematical transformation to control the slope of the topography by the friction and the finite mass, we prove the uniformly bounded estimate with respect to the time variable. This means that our solutions are stable.

Key words: Stability, River flow system, Time-independent estimate, Viscosity approximation, Maximum principle

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