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Multidimensional Manhattan Preferences

Published 24 Jan 2022 in cs.MA, econ.TH, and math.CO | (2201.09691v1)

Abstract: A preference profile with mm alternatives and nn voters is dd-Manhattan (resp. dd-Euclidean) if both the alternatives and the voters can be placed into the dd-dimensional space such that between each pair of alternatives, every voter prefers the one which has a shorter Manhattan (resp. Euclidean) distance to the voter. Following Bogomolnaia and Laslier [Journal of Mathematical Economics, 2007] and Chen and Grottke [Social Choice and Welfare, 2021] who look at dd-Euclidean preference profiles, we study which preference profiles are dd-Manhattan depending on the values mm and nn. First, we show that each preference profile with mm alternatives and nn voters is dd-Manhattan whenever dd ≥\geq min(nn, mm-$1$). Second, for d=2d = 2, we show that the smallest non dd-Manhattan preference profile has either three voters and six alternatives, or four voters and five alternatives, or five voters and four alternatives. This is more complex than the case with dd-Euclidean preferences (see [Bogomolnaia and Laslier, 2007] and [Bulteau and Chen, 2020].

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