Minimum incoming cost rules for arborescences
Eric Bahel () and
Christian Trudeau ()
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Eric Bahel: Virginia Polytechnic Institute and State University
Social Choice and Welfare, 2017, vol. 49, issue 2, 287-314
Abstract The paper examines minimum cost arborescence (mca) problems, which generalize the well-known minimum cost spanning tree (mcst) problems by allowing the cost to depend on the direction of the flow. We propose a new family of cost sharing methods that are easy to compute, as they closely relate to the network-building algorithm. These methods are called minimum incoming cost rules for arborescences (MICRAs). They include as a particular case the extension of the folk solution introduced by Dutta and Mishra [Games Econ Behav 74(1):120–143, 2012], providing a simple procedure for its computation. We also provide new axiomatizations of (a) the set of stable and symmetric MICRAs and (b) the Dutta–Mishra solution. Finally, we closely examine two MICRAs that (unlike the Dutta–Mishra rule) compensate agents who help others connect at a lower cost. The first of these two rules relates to the cycle-complete solution for mcst problems introduced by Trudeau [Games Econ Behav 75(1):402–412, 2012].
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