The General Graph Matching Game: Approximate Core
Vijay V. Vazirani

TL;DR
This paper introduces a method to find approximate core solutions in general graph matching games, providing bounds and insights into the structure of these solutions, especially when the core may be empty.
Contribution
It establishes a 2/3-approximate core for general graph matching games and explores the relationship between agent competitiveness and profit distribution.
Findings
The 2/3-approximate core bound is tight, matching the LP integrality gap.
Profit multipliers can often be better than 2/3, depending on constraints.
Insights into degeneracy and competitiveness in core imputations.
Abstract
The classic paper of Shapley and Shubik \cite{Shapley1971assignment} characterized the core of the assignment game using ideas from matching theory and LP-duality theory and their highly non-trivial interplay. Whereas the core of this game is always non-empty, that of the general graph matching game can be empty. This paper salvages the situation by giving an imputation in the -approximate core for the latter. This bound is best possible, since it is the integrality gap of the natural underlying LP. Our profit allocation method goes further: the multiplier on the profit of an agent is often better than and lies in the interval , depending on how severely constrained the agent is. Next, we provide new insights showing how discerning core imputations of an assignment games are by studying them via the lens of complementary slackness. We present a…
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