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arXiv 1306.4246math.CO
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排列的几何格类的增长率

Growth rates of geometric grid classes of permutations

David Bevan

摘要:

排列的几何网格类已被证明是研究经典排列模式类的关键。通过将格点排列表示为迹幺半群中的字,证明了每一个几何格点类都有一个增长率,该增长率由相关图的匹配多项式的最大根的平方给出.因此,我们将几何网格类的增长率集合表示为树的谱半径,探讨了“循环奇偶性”对增长率的影响,将几何网格类的增长率与相应的单调网格类的增长率进行了比较,并提出了关于边缘细分对匹配多项式最大根的影响的新结果。

英文摘要:

Geometric grid classes of permutations have proven to be key in investigations of classical permutation pattern classes. By considering the representation of gridded permutations as words in a trace monoid, we prove that every geometric grid class has a growth rate which is given by the square of the largest root of the matching polynomial of a related graph. As a consequence, we characterise the set of growth rates of geometric grid classes in terms of the spectral radii of trees, explore the influence of "cycle parity" on the growth rate, compare the growth rates of geometric grid classes against those of the corresponding monotone grid classes, and present new results concerning the effect of edge subdivision on the largest root of the matching polynomial.

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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