English

Matrix Rationalization via Partial Orders

Discrete Mathematics 2024-06-03 v1 Computer Science and Game Theory

Abstract

A preference matrix MM has an entry for each pair of candidates in an election whose value pijp_{ij} represents the proportion of voters that prefer candidate ii over candidate jj. The matrix is rationalizable if it is consistent with a set of voters whose preferences are total orders. A celebrated open problem asks for a concise characterization of rationalizable preference matrices. In this paper, we generalize this matrix rationalizability question and study when a preference matrix is consistent with a set of voters whose preferences are partial orders of width α\alpha. The width (the maximum cardinality of an antichain) of the partial order is a natural measure of the rationality of a voter; indeed, a partial order of width 11 is a total order. Our primary focus concerns the rationality number, the minimum width required to rationalize a preference matrix. We present two main results. The first concerns the class of half-integral preference matrices, where we show the key parameter required in evaluating the rationality number is the chromatic number of the undirected unanimity graph associated with the preference matrix MM. The second concerns the class of integral preference matrices, where we show the key parameter now is the dichromatic number of the directed voting graph associated with MM.

Keywords

Cite

@article{arxiv.2405.20976,
  title  = {Matrix Rationalization via Partial Orders},
  author = {Agnes Totschnig and Rohit Vasishta and Adrian Vetta},
  journal= {arXiv preprint arXiv:2405.20976},
  year   = {2024}
}