Statistical mechanics of combinatorial auctions

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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4 pages, 4 figures, minor changes, references added. To appear on PRL

Scientific paper

10.1103/PhysRevLett.97.128701

Combinatorial auctions are formulated as frustrated lattice gases on sparse random graphs, allowing the determination of the optimal revenue by methods of statistical physics. Transitions between computationally easy and hard regimes are found and interpreted in terms of the geometric structure of the space of solutions. We introduce an iterative algorithm to solve intermediate and large instances, and discuss competing states of optimal revenue and maximal number of satisfied bidders. The algorithm can be generalized to the hard phase and to more sophisticated auction protocols.

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