A Whitney Type Theorem for Surfaces: Characterising Graphs with Locally Planar Embeddings

IF 1 2区 数学 Q1 MATHEMATICS Combinatorica Pub Date : 2024-07-23 DOI:10.1007/s00493-024-00118-y
Johannes Carmesin
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Abstract

Given a graph G and a parameter r, we define the r-local matroid of G to be the matroid generated by its cycles of length at most r. Extending Whitney’s abstract planar duality theorem from 1932, we prove that for every r the r-local matroid of G is co-graphic if and only if G admits a certain type of embedding in a surface, which we call r-planar embedding. The maximum value of r such that a graph G admits an r-planar embedding is closely related to face-width, and such embeddings for this maximum value of r are quite often embeddings of minimum genus. Unlike minimum genus embeddings, these r-planar embeddings can be computed in polynomial time. This provides the first systematic and polynomially computable method to construct for every graph G a surface so that G embeds in that surface in an optimal way (phrased in our notion of r-planarity).

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曲面的惠特尼型定理:用局部平面嵌入描述图形的特征
给定一个图 G 和一个参数 r,我们将 G 的 r 局部矩阵定义为由最长为 r 的循环生成的矩阵。我们扩展了惠特尼在 1932 年提出的抽象平面对偶定理,证明对于每一个 r,当且仅当 G 在曲面中允许某种类型的嵌入(我们称之为 r 平面嵌入)时,G 的 r 局部矩阵是共图形的。使图 G 能够接受 r-planar 嵌入的 r 的最大值与面宽密切相关,而这种 r 的最大值的嵌入通常是最小属嵌入。与最小属嵌入不同,这些 r-planar 嵌入可以在多项式时间内计算。这提供了第一种系统的、可多项式计算的方法,为每个图 G 构建一个曲面,使 G 以最优方式嵌入该曲面(用我们的 r-planarity 概念表述)。
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来源期刊
Combinatorica
Combinatorica 数学-数学
CiteScore
1.90
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are - Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups). - Combinatorial optimization. - Combinatorial aspects of geometry and number theory. - Algorithms in combinatorics and related fields. - Computational complexity theory. - Randomization and explicit construction in combinatorics and algorithms.
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