Matrix Rationalization via Partial Orders
Abstract
A preference matrix has an entry for each pair of candidates in an election whose value represents the proportion of voters that prefer candidate over candidate . 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 . 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 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 . 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 .
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}
}