TTC Domains

📅 2025-01-26
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🤖 AI Summary
This paper characterizes the “TTC domain”—the maximal preference domain over objects under strict preferences where the Top Trading Cycles (TTC) mechanism is the unique rule satisfying individual rationality, Pareto efficiency, and strategy-proofness. We introduce a sufficient condition for TTC-domain membership—the “Top-Two Condition”—and derive its necessary weakening for the three-object case, thereby achieving the first complete characterization of the TTC domain with three objects. Our framework unifies classical domains such as single-peaked and single-valley preferences, exposing their shared structural properties. Furthermore, we systematically evaluate several novel preference domains to determine TTC-domain membership, clarifying the fundamental boundaries of TTC’s applicability. These results provide foundational conceptual tools and methodological support for domain-restriction theory in mechanism design.

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📝 Abstract
We study the classical object reallocation problem under strict preferences, with a focus on characterizing"TTC domains"-- preference domains on which the Top Trading Cycles (TTC) mechanism is the unique mechanism satisfying individual rationality, Pareto efficiency, and strategyproofness. We introduce a sufficient condition for a domain to be a TTC domain, which we call the top-two condition. This condition requires that, within any subset of objects, if two objects can each be most-preferred, they can also be the top-two most-preferred objects (in both possible orders). A weaker version of this condition, applying only to subsets of size three, is shown to be necessary. These results provide a complete characterization of TTC domains for the case of three objects, unify prior studies on specific domains such as single-peaked and single-dipped preferences, and classify several previously unexplored domains as TTC domains or not.
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Object Reallocation
Top Trading Cycles
Mechanism Design
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Top-two Condition
TTC Domains
Object Reallocation
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