The $\text{FP}^\text{NP}$ versus #P dichotomy for #EO

Fuente: arXiv
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Main Authors: Meng, Boning, Wang, Juqiu, Xia, Mingji
Format: Preprint
Published: 2025
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author Meng, Boning
Wang, Juqiu
Xia, Mingji
author_facet Meng, Boning
Wang, Juqiu
Xia, Mingji
contents The complexity classification of the Holant problem has remained unresolved for the past fifteen years. Counting complex-weighted Eulerian orientation problems, denoted as #EO, is regarded as one of the most significant challenges to the comprehensive complexity classification of the Holant problem. This article presents an $\text{FP}^\text{NP}$ vs. #P dichotomy for #EO, demonstrating that #EO defined by a signature set is either #P-hard or polynomial-time computable with a specific NP oracle. This result provides a comprehensive complexity classification for #EO, and potentially leads to a dichotomy for the Holant problem. Furthermore, we derive three additional dichotomies related to the Holant problem from the dichotomy for #EO.
format Preprint
id arxiv_https___arxiv_org_abs_2502_02012
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The $\text{FP}^\text{NP}$ versus #P dichotomy for #EO
Meng, Boning
Wang, Juqiu
Xia, Mingji
Computational Complexity
The complexity classification of the Holant problem has remained unresolved for the past fifteen years. Counting complex-weighted Eulerian orientation problems, denoted as #EO, is regarded as one of the most significant challenges to the comprehensive complexity classification of the Holant problem. This article presents an $\text{FP}^\text{NP}$ vs. #P dichotomy for #EO, demonstrating that #EO defined by a signature set is either #P-hard or polynomial-time computable with a specific NP oracle. This result provides a comprehensive complexity classification for #EO, and potentially leads to a dichotomy for the Holant problem. Furthermore, we derive three additional dichotomies related to the Holant problem from the dichotomy for #EO.
title The $\text{FP}^\text{NP}$ versus #P dichotomy for #EO
topic Computational Complexity
url https://arxiv.org/abs/2502.02012