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Strong Duality for a Multiple Good Monopolist

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Proves strong duality for the single-buyer multi-item revenue problem by mapping the primal (maximize a convex 1-Lipschitz utility functional) to an optimal-transport dual that allows mass-splitting preserving the mean. The dual is tight, so every optimal mechanism has a transportation-flow certificate checkable by complementary slackness. Corollaries: grand bundling is optimal iff two stochastic-dominance conditions between explicit signed measures of F hold; examples show bundling can beat separate pricing (uniform [1,2] yields $2.25 vs $2) and randomized menus can strictly beat any deterministic mechanism.

AI-written summary · about

  1. 0:00Introduction
  2. 0:17Standard Setting
  3. 0:43Single Item Setting
  4. 7:08Concave Approach
  5. 8:17Main Theorem
  6. 12:34Characterization
  7. 15:25Summary
  8. 16:48Duality
  9. 24:44Optimality
  10. 29:58Conclusion
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