Direct Product Multicommodity Max-Concurrent-Flow Min-Sparse-Cut Theorem

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  • 1 School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China;
    2 Department of Mathematics, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China;
    3 School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China

Received date: 2023-09-03

  Revised date: 2024-09-02

  Online published: 2026-07-06

Supported by

This work was supported by the National Natural Science Foundation of China (No.12371356), Major Research Project of Shanxi Province (No.202202020101006).

Abstract

We extend the max-concurrent-flow min-sparse-cut theorem from product multicommodity to direct product multicommodity. We prove that $\Theta(\log k)$ is the tight gap between the max-concurrent-flow and the min-sparse-cut for direct product multicommodity, where $k$ is the number of commodities. Besides, when the network we consider is centralized, we prove that there is a $\frac{1}{\alpha}$-approximation algorithm for the sparsest cut problem, where $\alpha$ is the maximum weight ratio of vertices.

Cite this article

Rui Guan, Dong-Yue Liang, Wei Wang, Wei-Hua Yang . Direct Product Multicommodity Max-Concurrent-Flow Min-Sparse-Cut Theorem[J]. Journal of the Operations Research Society of China, 2026 , 14(2) : 719 -729 . DOI: 10.1007/s40305-024-00567-8

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