Improved lower bounds for the maximum size of Condorcet domains

Fuente: arXiv
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Main Authors: Karpov, Alexander, Markstrom, Klas, Riis, Soren, Zhou, Bei
Format: Preprint
Published: 2026
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author Karpov, Alexander
Markstrom, Klas
Riis, Soren
Zhou, Bei
author_facet Karpov, Alexander
Markstrom, Klas
Riis, Soren
Zhou, Bei
contents Condorcet domains are sets of linear orders with the property that, whenever voters' preferences are restricted to the domain, the pairwise majority relation (for an odd number of voters) is transitive and hence a linear order. Determining the maximum size of a Condorcet domain, sometimes under additional constraints, has been a longstanding problem in the mathematical theory of majority voting. The exact maximum is only known for $n\leq 8$ alternatives. In this paper we use a structural analysis of the largest domains for small $n$ to design a new inductive search method. Using an implementation of this method on a supercomputer, together with existing algorithms, we improve the size of the largest known domains for all $9 \leq n \leq 20$. These domains are then used in a separate construction to obtain the currently largest known domains for $21 \leq n \leq 25$, and to improve the best asymptotic lower bound for the maximum size of a Condorcet domain to $Ω(2.198139^n)$. Finally, we discuss properties of the domains found and state several open problems and conjectures.
format Preprint
id arxiv_https___arxiv_org_abs_2601_07336
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Improved lower bounds for the maximum size of Condorcet domains
Karpov, Alexander
Markstrom, Klas
Riis, Soren
Zhou, Bei
Discrete Mathematics
Computer Science and Game Theory
Condorcet domains are sets of linear orders with the property that, whenever voters' preferences are restricted to the domain, the pairwise majority relation (for an odd number of voters) is transitive and hence a linear order. Determining the maximum size of a Condorcet domain, sometimes under additional constraints, has been a longstanding problem in the mathematical theory of majority voting. The exact maximum is only known for $n\leq 8$ alternatives. In this paper we use a structural analysis of the largest domains for small $n$ to design a new inductive search method. Using an implementation of this method on a supercomputer, together with existing algorithms, we improve the size of the largest known domains for all $9 \leq n \leq 20$. These domains are then used in a separate construction to obtain the currently largest known domains for $21 \leq n \leq 25$, and to improve the best asymptotic lower bound for the maximum size of a Condorcet domain to $Ω(2.198139^n)$. Finally, we discuss properties of the domains found and state several open problems and conjectures.
title Improved lower bounds for the maximum size of Condorcet domains
topic Discrete Mathematics
Computer Science and Game Theory
url https://arxiv.org/abs/2601.07336