Mathematical Theory and Applications ›› 2026, Vol. 46 ›› Issue (02): 68-79.doi: 10.3969/j.issn.1006-8074.2026.02.004

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Convergence of Combinatorial p-th Ricci Flows in Euclidean Background Geometry

Li Zhengkun*, Song Kai   

  1. College of Science, National University of Defense Technology, Changsha 410073, China
  • Online:2026-06-28 Published:2026-07-15
  • Contact: Li Zhengkun; E-mail: lizhengkun24@nudt.edu.cn
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (No. 12171480), Hunan Provincial Natural Science Foundation of China (No. 2022JJ10059) and Scientific Research Program of NUDT (Nos. JS2023-01 and IISF-C24001)

Abstract: Lin and Zhang first introduced the combinatorial $p$-th Ricci flows and generalized Chow-Luo's classical results on combinatorial Ricci flows (when $p=2$) to any $p>1$. However, their generalization in Euclidean background geometry is incomplete: they only proved the convergence of discrete curvatures along the flow, but failed to establish the convergence of circle packing metrics. In this paper, by introducing a time-dependent normalization term $C(t)$, we overcome the core obstacle arising from the lack of compactness for solutions to combinatorial $p$-th Ricci flows. Our results improve those of Lin and Zhang and generalize Chow-Luo's classical results in Euclidean background geometry from $p=2$ to any $p>1$ in full generality.

Key words: Combinatorial $p$-th Ricci flow, Time-dependent normalization term, Circle packing, Euclidean background geometry, Constant curvature metric