2019
DOI: 10.1080/00029890.2019.1528127
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Achieving Rental Harmony with a Secretive Roommate

Abstract: Given the subjective preferences of n roommates in an n-bedroom apartment, one can use Sperner's lemma to find a division of the rent such that each roommate is content with a distinct room. At the given price distribution, no roommate has a strictly stronger preference for a different room. We give a new elementary proof that the subjective preferences of only n − 1 of the roommates actually suffice to achieve this envy-free rent division. Our proof, in particular, yields an algorithm to find such a fair divi… Show more

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Cited by 14 publications
(17 citation statements)
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“…We do not state the version we could get in its full generality and we consider only the most interesting cases p = k − 1 and q = k − 1. The first case is actually that of the secretive roommates version considered in the paper by Frick et al [14]. The second case is the following Survivor rental harmony theorem, which is a new result in this area.…”
Section: Other Applicationsmentioning
confidence: 94%
“…We do not state the version we could get in its full generality and we consider only the most interesting cases p = k − 1 and q = k − 1. The first case is actually that of the secretive roommates version considered in the paper by Frick et al [14]. The second case is the following Survivor rental harmony theorem, which is a new result in this area.…”
Section: Other Applicationsmentioning
confidence: 94%
“…al. [6] show that an envy-free rent division can be achieved among n people, even if the preferences of only n − 1 housemates are known.…”
Section: Introductionmentioning
confidence: 99%
“…Our proof is constructive in a purely logical sense but does not directly admit an algorithm for computing a desired division. Usually, finding such an algorithm in envy-free division problems is a byproduct of applying a Sperner-like theorem, which often times provides a path-following method for approximating the required division (see e.g., Su [17, Section 5] and Frick et al [7,Section 5]). Thus, it would be interesting to find an algorithmic version of our proof, especially using a path-following method.…”
Section: Introductionmentioning
confidence: 99%