On putative q-Analogues of the Fano Plane and Related Combinatorial Structures
Thomas Honold, Michael Kiermaier
TL;DR
This work investigates putative $q$-analogues of the Fano plane by studying sets of $3$-dimensional subspaces in $\\mathbb{F}_q^7$ that cover each $2$-dimensional subspace exactly once, connecting the problem to plane subspace codes in $\\mathrm{PG}(6,\\mathbb{F}_q)$. It develops a counting framework via spectra, constructs large plane codes using lifted Gabidulin (LMRD) codes and expurgation-augmentation techniques, and achieves a general code of size $q^8+q^5+q^4-q-1$ that can be extended to larger sizes but falls short of a true $q$-analogue due to collision phenomena. The paper provides a computer-free binary construction yielding $329$ planes and a computer-assisted ternary construction yielding $6977$, along with a refined analysis of extension steps and symmetry-invariant designs. Although the $q$-analogue remains unresolved, the work significantly advances subspace-code constructions, clarifies obstructions, and outlines concrete pathways for future exploration, including potential generalization to larger ambient dimensions $v$.
Abstract
A set $\mathcal{F}_q$ of $3$-dimensional subspaces of $\mathbb{F}_q^7$, the $7$-dimensional vector space over the finite field $\mathbb{F}_q$, is said to form a $q$-analogue of the Fano plane if every $2$-dimensional subspace of $\mathbb{F}_q^7$ is contained in precisely one member of $\mathcal{F}_q$. The existence problem for such $q$-analogues remains unsolved for every single value of $q$. Here we report on an attempt to construct such $q$-analogues using ideas from the theory of subspace codes, which were introduced a few years ago by Koetter and Kschischang in their seminal work on error-correction for network coding. Our attempt eventually fails, but it produces the largest subspace codes known so far with the same parameters as a putative $q$-analogue. In particular we find a ternary subspace code of new record size $6977$, and we are able to construct a binary subspace code of the largest currently known size $329$ in an entirely computer-free manner.
