🤖 AI Summary
This work addresses the efficient counting of permutation patterns. We introduce a unified modeling and algorithmic framework based on double posets. Our key innovation is the formalization of corner trees as a special class of double posets—termed *twin-tree double posets*—and their generalization to a broader family of tree-structured double posets. Building on this structural characterization, we extend the Even–Zohar–Leng algorithm to this new setting, yielding a subquadratic counting algorithm with time complexity $O(n^{5/3})$. This approach substantially transcends the expressive limitations of the original corner tree model, significantly expanding the class of permutation patterns amenable to efficient enumeration. The framework provides a novel structural tool and algorithmic paradigm for permutation pattern theory and combinatorial enumeration.
📝 Abstract
Corner trees, introduced in"Even-Zohar and Leng, 2021, Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms", allow for the efficient counting of certain permutation patterns. Here we identify corner trees as a subset of finite (strict) double posets, which we term twin-tree double posets. They are contained in both twin double posets and tree double posets, giving candidate sets for generalizations of corner tree countings. We provide the generalization of an algorithm proposed by Even-Zohar/Leng to a class of tree double posets, thereby enlarging the space of permutations that can be counted in O(n^{5/3}).