2003
DOI: 10.1016/s0022-247x(03)00107-0
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Maximin share and minimax envy in fair-division problems

Abstract: For fair-division or cake-cutting problems with value functions which are normalized positive measures (i.e., the values are probability measures) maximin-share and minimax-envy inequalities are derived for both continuous and discrete measures. The tools used include classical and recent basic convexity results, as well as ad hoc constructions. Examples are given to show that the envyminimizing criterion is not Pareto optimal, even if the values are mutually absolutely continuous. In the discrete measure case… Show more

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Cited by 14 publications
(10 citation statements)
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“…In the case of additive utilities, [10] consider a more general model, where the object to be partitioned is a measurable space (Ω, F) (think as an example that (Ω, F) = ([0, 1], Borel sets)).…”
Section: Proof Of Theoremmentioning
confidence: 99%
See 3 more Smart Citations
“…In the case of additive utilities, [10] consider a more general model, where the object to be partitioned is a measurable space (Ω, F) (think as an example that (Ω, F) = ([0, 1], Borel sets)).…”
Section: Proof Of Theoremmentioning
confidence: 99%
“…In that case, the marginal utility of any good is clearly the maximum value of an atom, which is α. It was shown in [10] that there exist allocations with envy at most O(αn 3/2 ).…”
Section: Proof Of Theoremmentioning
confidence: 99%
See 2 more Smart Citations
“…In particular, its relationship with other important notions such as efficiency (or Pareto optimality) and, above all, envy-freeness has been investigated with alternating success: each maxmin partition is efficient, but while for the two children case Brams and Taylor [6] showed that it is also envy-free, the same may not hold when three or more children are to be served, as shown in Dall'Aglio and Hill [9].…”
Section: Introductionmentioning
confidence: 99%