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arXiv 2512.04074cs.CGcs.DMmath.GT
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嵌入平面图中的良 quasi-序

Well-quasi-orders on embedded planar graphs

Charles University(查理大学);INRIA UniCA(法国国家信息与自动化研究所尼斯-索菲亚抗提斯校区)

Corentin Lunel, Clément Maria

AI总结:

本文研究了嵌入平面图中经典minor关系的变种,证明其在不同约束条件下均为良quasi-序,拓展了拓扑图论的理论基础。

摘要:

拓扑图论的核心定理指出,图的minor关系在图上是一个良quasi-序。它有深远的影响,特别是在图结构的研究和参数化算法的设计中。在本文中,我们研究了结构图论中两个经典的minor关系的嵌入版本,并证明它们在一般或受限的嵌入平面图类别上也是良quasi-序。这些嵌入minor关系自然出现在内在嵌入对象中,如结图和$\mathbb{R}^3$中的表面。处理嵌入的额外拓扑约束需要仔细分析和经典方法的扩展,以应对更受限的嵌入minor关系。我们证明嵌入版本的浸入在有界carving-width平面图上诱导出良quasi-序,通过展示特别结构化的树分解,并利用经典论点来证明森林上的良quasi-序。我们推导出嵌入图minor关系在有界分支宽度的平面图上通过其定向中线图定义为良quasi-序。我们得出结论,嵌入图minor关系在所有平面图上是良quasi-序,使用经典网格定理在无界分支宽度情况下。

英文摘要:

The central theorem of topological graph theory states that the graph minor relation is a well-quasi-order on graphs. It has far-reaching consequences, in particular in the study of graph structures and the design of (parameterized) algorithms. In this article, we study two embedded versions of classical minor relations from structural graph theory and prove that they are also well-quasi-orders on general or restricted classes of embedded planar graphs. These embedded minor relations appear naturally for intrinsically embedded objects, such as knot diagrams and surfaces in $\mathbb{R}^3$. Handling the extra topological constraints of the embeddings requires careful analysis and extensions of classical methods for the more constrained embedded minor relations. We prove that the embedded version of immersion induces a well-quasi-order on bounded carving-width plane graphs by exhibiting particularly well-structured tree-decompositions and leveraging a classical argument on well-quasi-orders on forests. We deduce that the embedded graph minor relation defines a well-quasi-order on plane graphs via their directed medial graphs, when their branch-width is bounded. We conclude that the embedded graph minor relation is a well-quasi-order on all plane graphs, using classical grids theorems in the unbounded branch-width case.

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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