Reverse Sequential Proportional Approval Voting Rule: Proportionality and Approximation Guarantees

Abstract:We study the Reverse Sequential Proportional Approval Voting Rule (RevSeqPAV) in approval-based committee elections. Despite its historical prominence and practical use, its properties and guarantees are much less understood than those of Sequential PAV. We analyze it along two dimensions: proportional representation (measured by Extended Justified Representation, its approximations, and proportionality degree) and approximation of the maximum PAV score of instances. We first establish strong negative results for general, unrestricted election instances and then identify settings in which the rule provides meaningful fairness and optimization guarantees.

Computer Science and Game Theory (cs.GT); Artificial Intelligence (cs.AI)

arXiv:2609.35331 [cs.GT]

(or arXiv:2609.35331v1 [cs.GT] for this version)

https://doi.org/10.48550/arXiv.2609.35331 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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