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A Computational Obstruction to Swapping Area and Dinv: An Automata-Theoretic View of the q,tq,t-Catalan Symmetry

Published 4 Sep 2026 in math.CO, cs.CC, cs.FL, and cs.LO | (2609.05005v1)

Abstract: Algebraic combinatorics often seeks bijections that explain identities between distributions object by object. Encoding combinatorial objects as words lets automata theory study such a bijection as a word-to-word computation and measure its memory, input access, and control of output order. This refines existence questions by asking which computational mechanisms a bijection requires. We develop this viewpoint for Dyck paths. Our motivating example is the q,tq,t-Catalan polynomial. Let DnD_n be the set of Dyck paths of semilength nn, let D=n0DnD=\bigcup_{n\ge 0}D_n, and let area,dinv,bounce ⁣:DNarea, dinv, bounce \colon D\to\mathbb{N} be the standard statistics. Then, [ C_n(q,t)=\sum_{P\in D_n}q{area(P)}t{bounce(P)} =\sum_{P\in D_n}q{dinv(P)}t{area(P)}. ] Haglund's zeta map ζ ⁣:DDζ\colon D\to D gives a bijective proof: it preserves semilength and sends (dinv,area)(dinv,area) to (area,bounce)(area,bounce). By contrast, the full symmetry Cn(q,t)=Cn(t,q)C_n(q,t)=C_n(t,q) still lacks a direct explanation: no explicit, uniform, semilength-preserving bijection is known that swaps area and dinv on every Dyck path. Polyregular maps from automata theory provide a natural computational starting point, but we prove that neither ζζ nor the classical height-sweep bijection witnessing Narayana symmetry is polyregular. The missing mechanism is global ordering by numerical levels whose range grows with the input. We call this a \emph{rank sort} and introduce \emph{weighted-rank polyregular maps} (WRP), extending polyregular maps by one such sort and containing both bijections. Nevertheless, WRP is a proper subclass of deterministic logspace. We prove that ζ<sup>1ζ<sup>{-1} lies outside WRP and that no WRP map can realise a semilength-preserving area-dinv swap. Thus the rank-sorting strategy behind ζζ cannot be extended within WRP to exchange the two statistics.

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