On average orders of automorphism groups of bilinear maps over finite fields
Markus Bläser, Yinan Li, Youming Qiao, Alexander Rogovskyy
TL;DR
This work establishes sharp asymptotic bounds on the average order of automorphism groups for bilinear maps over finite fields, quantified by h(n,m,q) and its symmetric/alternating variants, in the regime m = Θ(n). The authors transform the problem into counting GL(V)×GL(W) orbits on tensor-type spaces via Burnside’s lemma, and analyze fixed points by decomposing matrices P,Q according to their rational normal forms, showing that most cases force P and Q to be almost scalar. The resulting bound h(n,m,q) ≤ q−1 + q^{−Ω(n^2)} yields near-tight counts for isomorphism classes of bilinear maps and has broad applications: asymptotically tight bounds for p-groups of Frattini class 2, probabilistic sampling of matrix spaces with trivial symmetry, and enumeration of cube-zero commutative algebras. These connections illustrate the central role of GL-orbit techniques in both classical group enumeration and modern linear-algebraic approaches to algebraic structures over finite fields, with implications for isomorphism testing and random-space constructions.
Abstract
Let $\varphi:V\times V\to W$ be a bilinear map of finite vector spaces $V$ and $W$ over a finite field $\mathbb{F}_q$. We present asymptotic bounds on the number of isomorphism classes of bilinear maps under the natural action of $\mathrm{GL}(V)$ and $\mathrm{GL}(W)$, when $\dim(V)$ and $\dim(W)$ are linearly related. As motivations and applications of the results, we present almost tight upper bounds on the number of $p$-groups of Frattini class $2$ as first studied by Higman (Proc. Lond. Math. Soc., 1960). Such bounds lead to answers for some open questions by Blackburn, Neumann, and Venkataraman (Cambridge Tracts in Mathematics, 2007). Further applications include sampling matrix spaces with the trivial automorphism group, and asymptotic bounds on the number of isomorphism classes of finite cube-zero commutative algebras.
