On minimal pattern-containing inversion sequences
Benjamin Testart
TL;DR
The paper introduces minimal pattern-containing inversion sequences for a pattern $\rho$ and develops a rigorous framework around $\mathcal{I}_n$ and $\mathcal{P}_n$, including the statistics $mdd(\rho)$, $dist$, and $Sat$, to characterize $\rho$-minimal sequences. It proves a structural characterization via filler-entry conditions around each occurrence of $\rho$, yielding sharp length bounds $|\rho|+mdd(\rho) \le |\sigma| \le |\rho|+2\,mdd(\rho)$ and the aggregate bound $|\sigma| \le 3|\rho| - 2$, with explicit constructions showing tightness. The authors provide enumerative results by bijecting $\rho$-minimal inversion sequences to colored-prefix trees for patterns with $\rho_1 = mdd(\rho)$, and compute counts for patterns up to length $5$, alongside a broader enumeration of $\mathcal{I} \cap \mathcal{P}$ via non-plane increasing trees, linking to poly-Bernoulli numbers of type $C$. They also introduce practical exhaustive-generation methods and a new data descriptor, ISBT, to classify minimal sequences, culminating in open questions about Wilf-equivalence, longest minimal sequences, and deeper connections to known poly-Bernoulli frameworks. These results advance pattern-avoidance in inversion sequences and connect combinatorial structures with classic integer sequences.
Abstract
We introduce the notion of minimal inversion sequences for a pattern $ρ$, which form the smallest set of inversion sequences whose avoidance is equivalent to the avoidance of $ρ$ for inversion sequences. We give a characterization of $ρ$-minimal inversion sequences based on the occurrences of the pattern $ρ$ they contain, and use it to find upper and lower bounds on the lengths of $ρ$-minimal inversion sequences. We provide some enumerative results on the exact number of minimal inversion sequences for some patterns, through a bijection with increasing trees, and some exhaustive generation. Lastly, we enumerate inversion sequences which are equal to their reduction, and find an interesting connection with poly-Bernoulli numbers.
