arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2301.06008math.CO
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没有相交三角形作为子图的谱极值图

Spectral extremal graphs without intersecting triangles as a minor

Xiaocong He, Yongtao Li, Lihua Feng

摘要:

令$F_s$是通过共享公共顶点而从$s$三角形获得的友谊图。对于固定的$s\ge 2$和足够大的$n$,达到最大谱半径的$n$阶的无$F_s$图首先由Cioabelo,Feng,Tait和Zhang [Electron. J. Combin. 27(4)(2020)],后来由Zhai,Liu和Xue [Electron. J. Combin. 29(3)(2022)]。近年来,不含$H$的图的谱极值问题得到了广泛的研究。例如,Tait [J. Combin. Theory Ser. A 166(2019)],Zhai and Lin [J. Combin.理论系列B 157(2022)]分别解决了$H=K_r$和$H=K_{s,t}$的情况。受这些结果的启发,我们考虑了$H=F_s$情形下的谱极值问题。证明了$K_s \vee I_{n-s}$是所有$n$ -顶点$F_s$ -无子图中唯一的达到最大谱半径的图.此外,令$Q_t$是通过共享公共顶点从长度为$4$的圈的$t$副本获得的图。我们还确定了唯一的$Q_t$ -minor-free图达到最大的谱半径。即,$K_t \vee M_{n-t}$,其中$M_{n-t}$是通过嵌入由$\lfloor \frac{n-t}{2}\rfloor$边组成的匹配从阶$n-t$的独立集合获得的图。

英文摘要:

Let $F_s$ be the friendship graph obtained from $s$ triangles by sharing a common vertex. For fixed $s\ge 2$ and sufficiently large $n$, the $F_s$-free graphs of order $n$ which attain the maximal spectral radius was firstly characterized by Cioabă, Feng, Tait and Zhang [Electron. J. Combin. 27 (4) (2020)],and later uniquely determined by Zhai, Liu and Xue [Electron. J. Combin. 29 (3) (2022)]. Recently, the spectral extremal problems was widely studied for graphs containing no $H$ as a minor. For instance, Tait [J. Combin. Theory Ser. A 166 (2019)], Zhai and Lin [J. Combin. Theory Ser. B 157 (2022)] solved the case $H=K_r$ and $H=K_{s,t}$, respectively. Motivated by these results, we consider the spectral extremal problems in the case $H=F_s$. We shall prove that $K_s \vee I_{n-s}$ is the unique graph that attain the maximal spectral radius over all $n$-vertex $F_s$-minor-free graphs. Moreover, let $Q_t$ be the graph obtained from $t$ copies of the cycle of length $4$ by sharing a common vertex. We also determine the unique $Q_t$-minor-free graph attaining the maximal spectral radius. Namely, $K_t \vee M_{n-t}$, where $M_{n-t}$ is a graph obtained from an independent set of order $n-t$ by embedding a matching consisting of $\lfloor \frac{n-t}{2}\rfloor$ edges.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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