Substring compatibility of permutation statistics
Michael Tang

TL;DR
This paper introduces the concept of substring compatibility for permutation statistics, constructs related algebraic structures, and explores their properties and conjectures about their uniqueness.
Contribution
It defines substring-compatible permutation statistics, develops their associated algebraic structures, and proposes a conjecture on their classification.
Findings
Constructed the substring coalgebra for such statistics
Established conditions under which a Hopf algebra can be formed
Proposed a conjecture on the uniqueness of certain permutation statistics
Abstract
A permutation statistic is substring-compatible if its value on a permutation determines its value on every substring of that permutation. We construct the substring coalgebra of such a statistic, an analog of the shuffle algebra of a shuffle-compatible statistic introduced by Gessel and Zhuang. Furthermore, we show that for substring-compatible statistics that also satisfy a weak form of shuffle compatibility, the shuffle algebra and substring coalgebra can be combined to yield a Hopf algebra. Finally, we conjecture that the only nontrivial permutation statistics that are both shuffle-compatible and substring-compatible are the descent set, the peak set, and the valley set, and we describe our progress towards proving this conjecture.
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