A multivariate "inv" hook formula for forests
Florent Hivert, Victor Reiner

TL;DR
This paper extends the inversion number hook formula for forests to a multivariate setting, motivated by modular invariant theory of finite general linear groups, building on previous q-generalizations involving major index and inversion statistics.
Contribution
It introduces a multivariate generalization of the inversion number hook formula for forests, connecting combinatorics with modular invariant theory.
Findings
Proves a multivariate inversion number hook formula for forests.
Links combinatorial formulas to modular invariant theory.
Builds on previous q-generalizations involving major index and inversion statistics.
Abstract
Bjoerner and Wachs provided two q-generalizations of Knuth's hook formula counting linear extensions of forests: one involving the major index statistic, and one involving the inversion number statistic. We prove a multivariate generalization of their inversion number result, motivated by specializations related to the modular invariant theory of finite general linear groups.
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Topological and Geometric Data Analysis · Algebraic structures and combinatorial models
