Weighted Fair Division of Indivisible Mixed Manna
Nicholas Teh
Abstract
We study weighted fair division of indivisible mixed manna under additive valuations. First, we resolve the general existence open question for weighted envy-freeness up to one item (WEF1), and show that every instance with arbitrary positive entitlements admits a complete WEF1 allocation computable in polynomial time. We then show that existence does not imply any welfare guarantee, i.e., the utilitarian price of WEF1 is infinite, even for two unweighted agents with normalized valuations, common item signs, and singleton values in a fixed four-value set; a welfare-maximizing WEF1 allocation in the construction is fractionally Pareto optimal. Second, suppose each agent i has a number ai>0 such that their valuation for any item is -ai, 0, or ai. Then, for arbitrary entitlements, a weighted maximin share (WMMS) allocation always exists, is computable in polynomial time, and can be chosen to be fractionally Pareto optimal. An exact formula for each WMMS value leads to a polynomial-time flow algorithm. In this class, every WEF1 allocation satisfies a best possible additive WMMS guarantee whose loss depends on the agent's entitlement relative to the largest entitlement. Thus maximum entitlement agents receive exact WMMS and, under equal entitlements, every WEF1 allocation is also MMS-fair. Allowing a second positive magnitude can violate exact WMMS, while unrestricted entitlement ratios rule out any fixed multiplicative WMMS guarantee compatible with WEF1 for chores.
Create a lesson
Related papers
Approximately Efficient Multidimensional Bilateral Trade
Aviad Rubinstein, Xizhi Tan, Zixin Zhou
Almost Envy-Freeness for Additive Mixed Manna with Entitlements: Deterministic and Randomized Guarantees
Zehan Lin, Shengxin Liu, Biaoshuai Tao et al.
Fair Stable Matching: A Nash Social Welfare Approach
Parth Desai, Rasheed M, Ganesh Ghalme et al.
The Complexity of Justified Representation with Additive Utilities
Carmel Baharav, Jakob de Raaij, Agnès Totschnig
Graph Coloring with Color Preferences
Tomohiro Koana, Yeeseok Oh, Hirotaka Yoneda
Independent Reinforcement Learning in Discounted Markov Games
Asrin Efe Yorulmaz, Ugur Aydin, Tamer Basar