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k-Wiener index of a k-plex

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  • Zhongyuan Che

    (Penn State University, Beaver Campus)

Abstract

A k-plex is a hypergraph with the property that each subset of a hyperedge is also a hyperedge and each hyperedge contains at most $$k+1$$ k + 1 vertices. We introduce a new concept called the k-Wiener index of a k-plex as the summation of k-distances between every two hyperedges of cardinality k of the k-plex. The concept is different from the Wiener index of a hypergraph which is the sum of distances between every two vertices of the hypergraph. We provide basic properties for the k-Wiener index of a k-plex. Similarly to the fact that trees are the fundamental 1-dimensional graphs, k-trees form an important class of k-plexes and have many properties parallel to those of trees. We provide a recursive formula for the k-Wiener index of a k-tree using its property of a perfect elimination ordering. We show that the k-Wiener index of a k-tree of order n is bounded below by $$2 {1+(n-k)k \atopwithdelims ()2} - (n-k) {k+1 \atopwithdelims ()2} $$ 2 1 + ( n - k ) k 2 - ( n - k ) k + 1 2 and above by $$k^2 {n-k+2 \atopwithdelims ()3} - (n-k){k \atopwithdelims ()2}$$ k 2 n - k + 2 3 - ( n - k ) k 2 . The bounds are attained only when the k-tree is a k-star and a k-th power of path, respectively. Our results generalize the well-known results that the Wiener index of a tree of order n is bounded between $$(n-1)^2$$ ( n - 1 ) 2 and $${n+1 \atopwithdelims ()3}$$ n + 1 3 , and the lower bound (resp., the upper bound) is attained only when the tree is a star (resp., a path) from 1-dimensional trees to k-dimensional trees.

Suggested Citation

  • Zhongyuan Che, 2022. "k-Wiener index of a k-plex," Journal of Combinatorial Optimization, Springer, vol. 43(1), pages 65-78, January.
  • Handle: RePEc:spr:jcomop:v:43:y:2022:i:1:d:10.1007_s10878-021-00750-0
    DOI: 10.1007/s10878-021-00750-0
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    References listed on IDEAS

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    1. Xiangxiang Liu & Ligong Wang & Xihe Li, 2020. "The Wiener index of hypergraphs," Journal of Combinatorial Optimization, Springer, vol. 39(2), pages 351-364, February.
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