Duality and optimality of auctions for uniform distributions

We develop a general duality-theory framework for revenue maximization in additive Bayesian auctions. The framework extends linear programming duality and complementarity to constraints with partial derivatives. The dual system reveals the geometric nature of the problem and highlights its connectio...

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Bibliografische gegevens
Hoofdauteurs: Giannakopoulos, Y, Koutsoupias, E
Formaat: Journal article
Gepubliceerd in: Society for Industrial and Applied Mathematics 2018
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author Giannakopoulos, Y
Koutsoupias, E
author_facet Giannakopoulos, Y
Koutsoupias, E
author_sort Giannakopoulos, Y
collection OXFORD
description We develop a general duality-theory framework for revenue maximization in additive Bayesian auctions. The framework extends linear programming duality and complementarity to constraints with partial derivatives. The dual system reveals the geometric nature of the problem and highlights its connection with the theory of bipartite graph matchings. We demonstrate the power of the framework by applying it to a multiple-good monopoly setting where the buyer has uniformly distributed valuations for the items, the canonical long-standing open problem in the area. We propose a deterministic selling mechanism called Straight-Jacket Auction (SJA) which we prove to be exactly optimal for up to 6 items, and conjecture its optimality for any number of goods. The duality framework is used not only for proving optimality, but perhaps more importantly, for deriving the optimal mechanism itself; as a result, SJA is defined by natural geometric constraints.
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spelling oxford-uuid:f42c1180-2e09-4ee2-898b-67856debc0f22022-03-27T12:17:40ZDuality and optimality of auctions for uniform distributionsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f42c1180-2e09-4ee2-898b-67856debc0f2Symplectic Elements at OxfordSociety for Industrial and Applied Mathematics2018Giannakopoulos, YKoutsoupias, EWe develop a general duality-theory framework for revenue maximization in additive Bayesian auctions. The framework extends linear programming duality and complementarity to constraints with partial derivatives. The dual system reveals the geometric nature of the problem and highlights its connection with the theory of bipartite graph matchings. We demonstrate the power of the framework by applying it to a multiple-good monopoly setting where the buyer has uniformly distributed valuations for the items, the canonical long-standing open problem in the area. We propose a deterministic selling mechanism called Straight-Jacket Auction (SJA) which we prove to be exactly optimal for up to 6 items, and conjecture its optimality for any number of goods. The duality framework is used not only for proving optimality, but perhaps more importantly, for deriving the optimal mechanism itself; as a result, SJA is defined by natural geometric constraints.
spellingShingle Giannakopoulos, Y
Koutsoupias, E
Duality and optimality of auctions for uniform distributions
title Duality and optimality of auctions for uniform distributions
title_full Duality and optimality of auctions for uniform distributions
title_fullStr Duality and optimality of auctions for uniform distributions
title_full_unstemmed Duality and optimality of auctions for uniform distributions
title_short Duality and optimality of auctions for uniform distributions
title_sort duality and optimality of auctions for uniform distributions
work_keys_str_mv AT giannakopoulosy dualityandoptimalityofauctionsforuniformdistributions
AT koutsoupiase dualityandoptimalityofauctionsforuniformdistributions