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Fair Shares: Feasibility, Domination, and Incentives

Author

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  • Moshe Babaioff

    (School of Engineering and Computer Science, The Hebrew University of Jerusalem, 9190416 Jerusalem, Israel)

  • Uriel Feige

    (Department of Computer Science and Applied Mathematics, The Weizmann Institute, 7610001 Rehovot, Israel)

Abstract

We consider fair allocation of indivisible goods to n equally entitled agents. Every agent i has a valuation function v i from some given class of valuation functions. A share s is a function that maps ( v i , n ) to a nonnegative value. A share is feasible if for every allocation instance, there is an allocation that gives every agent i a bundle that is acceptable with respect to v i , one of value at least her share value s ( v i , n ) . We introduce the following concepts. A share is self-maximizing if reporting the true valuation maximizes the minimum true value of a bundle that is acceptable with respect to the report. A share s ρ-dominates another share s ′ if s ( v i , n ) ≥ ρ · s ′ ( v i , n ) for every valuation function. We initiate a systematic study of feasible and self-maximizing shares and a systematic study of ρ -domination relation between shares, presenting both positive and negative results.

Suggested Citation

  • Moshe Babaioff & Uriel Feige, 2025. "Fair Shares: Feasibility, Domination, and Incentives," Mathematics of Operations Research, INFORMS, vol. 50(3), pages 1901-1934, August.
  • Handle: RePEc:inm:ormoor:v:50:y:2025:i:3:p:1901-1934
    DOI: 10.1287/moor.2022.0257
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