Abstract
We consider the problem of locating a single facility for 2 agents in \(L_p\) space (\(1<p<\infty \)) and give a nearly complete characterization of such deterministic strategyproof mechanisms. We use the distance between an agent and the facility in \(L_p\) space to denote the cost of the agent. A mechanism is strategyproof iff no agent can reduce her cost from misreporting her private location.
We show that in \(L_p\) space (\(1<p<\infty \)) with 2 agents, any location output of a deterministic, unanimous, translation-invariant strategyproof mechanism must satisfy a set of equations and mechanisms are continuous, scalable. In one-dimensional space, the output must be one agent’s location, which is easy to prove in any n agents.
However, in m-dimensional space (\(m\ge 2\)), the situation will be much more complex, with only 2-agent case finished. We show that the output of such a mechanism must satisfy a set of equations, and when \(p=2\) the output must locate at a sphere with the segment between the two agents as the diameter. Further more, for n-agent situations, we find that the simple extension of this the 2-agent situation cannot hold when dimension \(m>2\) and prove that the well-known general median mechanism will give an counter-example.
Particularly, in \(L_2\) (i.e., Euclidean) space with 2 agents, such a mechanism is rotation-invariant iff it is dictatorial; and such a mechanism is anonymous iff it is one of the three mechanisms in Sect. 4. And our tool implies that any such a mechanism has a tight lower bound of 2-approximation for maximum cost in any multi-dimensional space.
Thanks for my advisors Pinyan Lu and Hu Fu for giving me advise on this problem.
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Lin, J. (2020). Nearly Complete Characterization of 2-Agent Deterministic Strategyproof Mechanisms for Single Facility Location in \(L_p\) Space. In: Wu, W., Zhang, Z. (eds) Combinatorial Optimization and Applications. COCOA 2020. Lecture Notes in Computer Science(), vol 12577. Springer, Cham. https://doi.org/10.1007/978-3-030-64843-5_28
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