Neural ring homomorphism preserves mandatory sets required for open convexity
Abstract
It has been studied by Curto et al. (SIAM J. on App. Alg. and Geom., 1(1) : 222 238, 2017) that a neural code that has an open convex realization does not have any local obstruction relative to the neural code. Further, a neural code has no local obstructions if and only if it contains the set of mandatory codewords, which depends only on the simplicial complex . Thus if , then cannot be open convex. However, the problem of constructing for any given code is undecidable. There is yet another way to capture the local obstructions via the homological mandatory set, The significance of for a given code is that and so will have local obstructions if In this paper we study the affect on the sets and under the action of various surjective elementary code maps. Further, we study the relationship between Stanley-Reisner rings of the simplicial complexes associated with neural codes of the elementary code maps. Moreover, using this relationship, we give an alternative proof to show that is preserved under the elementary code maps.
Keywords
Cite
@article{arxiv.2310.06323,
title = {Neural ring homomorphism preserves mandatory sets required for open convexity},
author = {Neha Gupta and Suhith K N},
journal= {arXiv preprint arXiv:2310.06323},
year = {2023}
}