Axiomatic and Erd\H{o}s-Moon approaches to tournament rankings
Sergei Nokhrin, Mikhail Patrakeev

TL;DR
This paper explores combining axiomatic and Erd extendash{}Moon methods for tournament rankings, establishing the minimal proportion of backward arcs achievable under specific axioms, notably proving it is 3/4 for the Copeland axiom.
Contribution
It introduces a combined approach to tournament rankings, defining the Erd extendash{}Moon number for axioms and calculating it for the Copeland axiom as 3/4.
Findings
The Erd extendash{}Moon number for the Copeland axiom is 3/4.
The combined approach minimizes backward arcs among rankings satisfying given axioms.
It extends the understanding of tournament ranking optimization under axiomatic constraints.
Abstract
Tournament ranking is a function that assigns each vertex of a tournament (i.e., a directed graph without loops, in which each pair of different vertexes is connected by exactly one arc) a number called the rank of the vertex. One of approaches to constructing tournament rankings suggests choosing a ranking that satisfies a fixed set of axioms. In another approach, proposed by Erd\H{o}s and Moon, only injective rankings are considered, and among them, one that minimises the number of backward arcs is selected (an arc is called backward iff the rank of is less than the rank of ). We combine these two approaches as follows: among the rankings that satisfy a fixed set of axioms, we choose one that minimises the number of backward arcs. The Erd\H{o}s-Moon approach naturally leads to the question of how small the proportion of backward arcs can be guaranteed when using…
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Taxonomy
TopicsGame Theory and Voting Systems · Constraint Satisfaction and Optimization · Data Management and Algorithms
