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Electronic Journal of Combinatorics
Article . 2025 . Peer-reviewed
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Article . 2025
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Article . 2025
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Ascent Sequences Avoiding a Triple of Length-3 Patterns

Ascent sequences avoiding a triple of length-3 patterns
Authors: David Callan; Toufik Mansour;

Ascent Sequences Avoiding a Triple of Length-3 Patterns

Abstract

An ascent sequence is a sequence $a_1a_2\cdots a_n$ consisting of non-negative integers satisfying $a_1=0$ and for $1<i\leq n$, $a_i\leq \text{asc}(a_1a_2\cdots a_{i-1})+1$, where $\text{asc}(a_1a_2\cdots a_k)$ is the number of ascents in the sequence $a_1a_2\cdots a_k$. We say that two sets of patterns $B$ and $C$ are $A$-Wilf-equivalent if the number of ascent sequences of length $n$ that avoid $B$ equals the number of ascent sequences of length $n$ that avoid $C$, for all $n\geq0$. In this paper, we show that the number of $A$-Wilf-equivalences among triples of length-3 patterns is 62. The main tool is generating trees; bijective methods are also sometimes used. One case is of particular interest: ascent sequences avoiding the 3 patterns 100, 201 and 210 are easy to characterize, but it seems remarkably involved to show that, like 021-avoiding ascent sequences, they are counted by the Catalan numbers.

Related Organizations
Keywords

Permutations, words, matrices, Other combinatorial number theory, Special sequences and polynomials, Exact enumeration problems, generating functions, \(A\)-Wilf-equivalent sets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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