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Electronic Journal of Combinatorics
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Further Applications of a Power Series Method for Pattern Avoidance

Further applications of a power series method for pattern avoidance
Authors: Rampersad, Narad;

Further Applications of a Power Series Method for Pattern Avoidance

Abstract

In combinatorics on words, a word $w$ over an alphabet $\Sigma$ is said to avoid a pattern $p$ over an alphabet $\Delta$ if there is no factor $x$ of $w$ and no non-erasing morphism $h$ from $\Delta^*$ to $\Sigma^*$ such that $h(p) = x$. Bell and Goh have recently applied an algebraic technique due to Golod to show that for a certain wide class of patterns $p$ there are exponentially many words of length $n$ over a $4$-letter alphabet that avoid $p$. We consider some further consequences of their work. In particular, we show that any pattern with $k$ variables of length at least $4^k$ is avoidable on the binary alphabet. This improves an earlier bound due to Cassaigne and Roth.

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Canada
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Keywords

FOS: Computer and information sciences, Combinatorics on words, Formal Languages and Automata Theory (cs.FL), FOS: Mathematics, Mathematics - Combinatorics, Computer Science - Formal Languages and Automata Theory, Combinatorics (math.CO), 68R15, binary alphabet

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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!
6
Average
Top 10%
Average
Green
gold