Adjoints of Morphisms of Neural Codes

Fuente: arXiv
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Autori principali: Geraci, Juliann, Kunin, Alexander B., Seceleanu, Alexandra
Natura: Preprint
Pubblicazione: 2026
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author Geraci, Juliann
Kunin, Alexander B.
Seceleanu, Alexandra
author_facet Geraci, Juliann
Kunin, Alexander B.
Seceleanu, Alexandra
contents A combinatorial code $\mathcal{C}$ is a collection of subsets of $[n]$, or equivalently a set of points in $\{0,1\}^n$. A morphism of codes is a map from one combinatorial code to another such that the coordinates of points in the image can be expressed as products of coordinates in the domain. By representing morphisms of codes as binary matrices, we show that any morphism of codes is part of a Galois connection where its adjoint is boolean multiplication by the representative matrix. We use this to characterize those morphisms of codes which allow to factor a boolean matrix, with applications to estimating boolean matrix rank. Morphisms also induce a partial order on (isomorphism classes of) codes. We determine the covering relations in this partial order for which the two adjoint maps are mutual inverses in terms of \emph{free} neurons, a combinatorial condition on the index corresponding to the covering maps. We introduce the \emph{defect} of a code as a new tool to study this poset and show that defect decreases by exactly 0 or 1 under a covering map.
format Preprint
id arxiv_https___arxiv_org_abs_2603_10837
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Adjoints of Morphisms of Neural Codes
Geraci, Juliann
Kunin, Alexander B.
Seceleanu, Alexandra
Combinatorics
Commutative Algebra
15B34 (Primary) 13P25 52C99 (Secondary)
A combinatorial code $\mathcal{C}$ is a collection of subsets of $[n]$, or equivalently a set of points in $\{0,1\}^n$. A morphism of codes is a map from one combinatorial code to another such that the coordinates of points in the image can be expressed as products of coordinates in the domain. By representing morphisms of codes as binary matrices, we show that any morphism of codes is part of a Galois connection where its adjoint is boolean multiplication by the representative matrix. We use this to characterize those morphisms of codes which allow to factor a boolean matrix, with applications to estimating boolean matrix rank. Morphisms also induce a partial order on (isomorphism classes of) codes. We determine the covering relations in this partial order for which the two adjoint maps are mutual inverses in terms of \emph{free} neurons, a combinatorial condition on the index corresponding to the covering maps. We introduce the \emph{defect} of a code as a new tool to study this poset and show that defect decreases by exactly 0 or 1 under a covering map.
title Adjoints of Morphisms of Neural Codes
topic Combinatorics
Commutative Algebra
15B34 (Primary) 13P25 52C99 (Secondary)
url https://arxiv.org/abs/2603.10837