On Real-rootedness of Independence Polynomials of Rooted Products of Graphs

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED
Aria Ming-yue Zhu, Bao-xuan Zhu
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引用次数: 0

Abstract

An independent set in a graph G is a set of pairwise non-adjacent vertices. The independence polynomial of G is the polynomial \(\sum\limits_A {{x^{|A|}}} \), where the sum is over all independent sets A of G. In 1987, Alavi, Malde, Schwenk and Erdős conjectured that the independence polynomial of any tree or forest is unimodal. Although this unimodality conjecture has attracted many researchers’ attention, it is still open. Recently, Basit and Galvin even asked a much stronger question whether the independence polynomial of every tree is ordered log-concave. Note that if a polynomial has only negative real zeros then it is ordered log-concave and unimodal. In this paper, we observe real-rootedness of independence polynomials of rooted products of graphs. We find some trees whose rooted product preserves real-rootedness of independence polynomials. In consequence, starting from any graph whose independence polynomial has only real zeros, we can obtain an infinite family of graphs whose independence polynomials have only real zeros. In particular, applying it to trees or forests, we obtain that their independence polynomials are unimodal and ordered log-concave.

关于图的根积的独立多项式的实根性
图G中的独立集是一组成对的不相邻顶点。G的独立多项式是多项式\(\sum\limits_A{{x^{|A|}}),其中和在G的所有独立集A上。1987年,Alavi、Malde、Schwenk和Erdõs猜测任何树或森林的独立多项式都是单峰的。尽管这种单峰猜想引起了许多研究者的注意,但它仍然是开放的。最近,Basit和Galvin甚至提出了一个更强的问题,即每棵树的独立多项式是否都是有序对数凹的。注意,如果一个多项式只有负实零点,那么它是有序的对数凹和单峰的。本文观察了图的根积的独立多项式的实根性。我们发现一些树的根积保持了独立多项式的实根性。因此,从任何独立多项式只有实零的图开始,我们可以得到一个独立多项式只有实数零的无限图族。特别是将其应用于树木或森林,我们得到它们的独立多项式是单峰和有序的对数凹的。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
70
审稿时长
3.0 months
期刊介绍: Acta Mathematicae Applicatae Sinica (English Series) is a quarterly journal established by the Chinese Mathematical Society. The journal publishes high quality research papers from all branches of applied mathematics, and particularly welcomes those from partial differential equations, computational mathematics, applied probability, mathematical finance, statistics, dynamical systems, optimization and management science.
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