弧脊有向图的Linial猜想

Q3 Computer Science
Lucas R. Yoshimura , Maycon Sambinelli , Cândida N. da Silva , Orlando Lee
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引用次数: 2

摘要

有向图D的路径划分P是有向路径的集合,使得每个顶点只属于一条路径。给定正整数k, D的路径分区P的k范数定义为∑P∈Pmin (|Pi|,k)。最小k-范数的路径划分称为k-最优,其k-范数用πk(D)表示。有向图D的稳定集是V(D)的成对非相邻顶点的子集。给定一个正整数k,我们用αk(D)表示可以分解成k个不相交的稳定D集的D的最大顶点集。1981年,Linial推测对于每一个有向图πk(D)≤αk(D)。如果V(D)可以划分为两个集合X和Y,其中X是可追踪的,并且Y在a (D)中最多包含一个弧,则我们说有向图D是弧脊图。本文证明了Linial猜想对于弧脊有向图的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linial's Conjecture for Arc-spine Digraphs

A path partition P of a digraph D is a collection of directed paths such that every vertex belongs to precisely one path. Given a positive integer k, the k-norm of a path partition P of D is defined as PPmin{|Pi|,k}. A path partition of a minimum k-norm is called k-optimal and its k-norm is denoted by πk(D). A stable set of a digraph D is a subset of pairwise non-adjacent vertices of V(D). Given a positive integer k, we denote by αk(D) the largest set of vertices of D that can be decomposed into k disjoint stable sets of D. In 1981, Linial conjectured that πk(D) ≤ αk(D) for every digraph. We say that a digraph D is arc-spine if V(D) can be partitioned into two sets X and Y where X is traceable and Y contains at most one arc in A(D). In this paper we show the validity of Linial's Conjecture for arc-spine digraphs.

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来源期刊
Electronic Notes in Theoretical Computer Science
Electronic Notes in Theoretical Computer Science Computer Science-Computer Science (all)
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期刊介绍: ENTCS is a venue for the rapid electronic publication of the proceedings of conferences, of lecture notes, monographs and other similar material for which quick publication and the availability on the electronic media is appropriate. Organizers of conferences whose proceedings appear in ENTCS, and authors of other material appearing as a volume in the series are allowed to make hard copies of the relevant volume for limited distribution. For example, conference proceedings may be distributed to participants at the meeting, and lecture notes can be distributed to those taking a course based on the material in the volume.
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