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¾ÜºÙ ¡ÚÊó¹ð¼Ô¡Û¾®ÅçÉð¿Î¡ÊStanford University, Assistant Professor¡Ë
¡Ú¥¿¥¤¥È¥ë¡Û"Implementing Random Assignments: A Generalization of the Birkhoff-von Neumann Theorem"
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³µÍס§The literature on random mechanisms often describes outcomes incompletely as ``random assignments'' - expressing the probabilities that individual items are assigned to different agents - and the joint constraints that a feasible assignment must satisfy. We provide a necessary and sufficient condition (the ``bihierarchy'' condition) for the set of constraints to have the property that if the random assignment satisfies the constraints in expectation, then it is a randomization over pure assignments that each satisfy the constraints. The sets of constraints generalize those allowed by the celebrated Birkhoff-von Neumann theorem. We also provide a random algorithm to implement any such random assignment. Several applications are described, including (i) single-unit random assignment, such as school choice; (ii) multi-unit random assignment, such as course allocation and fair division; and (iii) two-sided matching problems, such as the scheduling of inter-league sports matchups. The same method also finds applications beyond economics, generalizing previous results on the minimize makespan problem in the computer science literature.
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