Coherent domains and improved lower bounds for the maximum size of Condorcet domains

In this paper, we study Condorcet domains, sets of linear orders from which majority ranking produces a linear order. We introduce a new class of Condorcet domains, called coherent domains, which is natural from both a voting theoretic and combinatorial perspective. After studying the properties of these domains we introduce set-alternating schemes. This is a method for constructing well-behaved coherent domains. Using this we show that, for sufficiently large numbers of alternatives n , there are coherent domains of size more than 2 . 197 3 n . This improves the best existing asymptotic lower bounds for the size of the largest general Condorcet domains.

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Publication Details

Journal
Discrete Applied Mathematics
Published
2025-03-14
DOI
https://doi.org/10.1016/j.dam.2025.03.007
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Coherent domains and improved lower bounds for the maximum size of Condorcet domains

Alexander Karpov, Søren Riis, Klas Markström, Bei Zhou
Discrete Applied Mathematics
Advanced Optimization Algorithms Research
article

Coherent domains and improved lower bounds for the maximum size of Condorcet domains

Alexander Karpov, Søren Riis, Klas Markström, Bei Zhou
article en

Abstract

In this paper, we study Condorcet domains, sets of linear orders from which majority ranking produces a linear order. We introduce a new class of Condorcet domains, called coherent domains, which is natural from both a voting theoretic and combinatorial perspective. After studying the properties of these domains we introduce set-alternating schemes. This is a method for constructing well-behaved coherent domains. Using this we show that, for sufficiently large numbers of alternatives n , there are coherent domains of size more than 2 . 197 3 n . This improves the best existing asymptotic lower bounds for the size of the largest general Condorcet domains.

Discrete Applied MathematicsVol. 370
National Research University Higher School of Economics (RU), Queen Mary University of London (GB), V. A. Trapeznikov Institute of Control Sciences (RU), Imperial College London (GB), Umeå University (SE)
Queen Mary University of London, China Scholarship Council, National Research University Higher School of Economics
Openalex Percentile: Top 92%
Advanced Optimization Algorithms Research
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Coherent domains and improved lower bounds for the maximum size of Condorcet domains — Alexander Karpov, Søren Riis, et al. · Discrete Applied Mathematics (2025) | TGRS Research Map | TGRS