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Toward Constant-Factor Maximin Share Guarantees for Subadditive Valuations

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CC BY 4.0
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  • GPT 5.6
  • GPT 6
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Abstract · v1

For nn agents and mm indivisible goods, an agent's maximin share (MMS) is the largest minimum bundle value she can obtain by partitioning the goods into nn bundles. Constant MMS approximations are known for additive, submodular, or XOS valuations, but whether such a guarantee exists for general subadditive valuations remains open. We advance this question in two directions. For general subadditive valuations, we exponentially improve the guarantee from Ω(1/log⁡log⁡n)Ω(1/\log\log n) to Ω(1/log⁡∗n)Ω(1/\log^* n), where log⁡∗n\log^* n is the iterated logarithm. We then seek constant MMS guarantees under additional structure on subadditive valuations by studying qq-partitioning valuations: every partition of a bundle into at most qq groups admits nonnegative group prices that sum to the bundle's value and whose sum on any collection of groups is at most the value of their union. This hierarchy ranges from subadditivity at q=2q=2 to XOS for q≥mq\ge m. We give the first study of MMS in the intermediate classes and prove constant guarantees whenever q/nq/n has a fixed positive lower bound, including 1/61/6 for q≥nq\ge n and 1/41/4 for q≥2nq\ge2n. For XOS valuations, we further improve the universal guarantee from 4/17≈0.23534/17\approx 0.2353 to 5/16=0.31255/16=0.3125. For subadditive valuations, we prove a bidding amplification theorem that gives an exponential bound on each agent's probability of receiving less than half her MMS, while satisfying her budget in every outcome. For qq-partitioning valuations, we give a scalar criterion that converts bounds on the value lost from disjoint deletions within a bundle into bounds on potential losses, even when an agent contributes zero below the target bundle value. For XOS valuations, we prove a reservation theorem that selects goods for integral assignment together with auxiliary additive valuations and accounts for the loss in rounding.

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