# Positional Voting and Doubly Stochastic Matrices

**Authors:** Jacqueline Anderson, Brian Camara, John Pike

arXiv: 1908.06506 · 2020-08-17

## TL;DR

This paper explores the mathematical structure of positional voting systems using doubly stochastic matrices, providing elementary proofs, explicit constructions of paradoxical profiles, and methods to select weights for desired outcomes.

## Contribution

It introduces a simplified, matrix-based framework for analyzing positional voting systems, including explicit constructions and weight selection techniques.

## Key findings

- Elementary proofs for key results in positional voting theory
- Explicit construction of paradoxical voting profiles
- Method to choose weights for desired election outcomes

## Abstract

We provide elementary proofs of several results concerning the possible outcomes arising from a fixed profile within the class of positional voting systems. Our arguments enable a simple and explicit construction of paradoxical profiles, and we also demonstrate how to choose weights that realize desirable results from a given profile. The analysis ultimately boils down to thinking about positional voting systems in terms of doubly stochastic matrices.

## Full text

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## References

15 references — full list in the complete paper: https://tomesphere.com/paper/1908.06506/full.md

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Source: https://tomesphere.com/paper/1908.06506