在精确和近似均衡下求解Leontief和PLC交易市场的复杂性

J. Garg, R. Mehta, V. Vazirani, Sadra Yazdanbod
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引用次数: 23

摘要

我们的第一个结果表明,对于分段线性凹(PLC)效用函数的Arrow-Debreu交易市场计算近似均衡问题,PPAD中的隶属性。作为推论,我们也得到了Leontief效用函数在PPAD中的隶属性。这解决了Vazirani和Yannakakis(2011)的一个悬而未决的问题。接下来,我们展示了在Leontief效用函数下的Arrow-Debreu交易市场和线性效用函数和Leontief生产集下的Arrow-Debreu市场计算均衡的fixp -硬度,从而解决了Vazirani和Yannakakis(2011)的这些开放性问题。作为推论,我们获得了线性效用函数和多面体生产集下PLC效用和Arrow-Debreu市场的fixp硬度。在所有情况下,根据FIXP的要求,映射到的实例集将允许平衡点,即将是“yes”实例。如果考虑了所有的实例,那么在所有的情况下,我们证明了判定一个给定实例是否承认一个均衡的问题是ETR完全的,其中ETR是实数的存在论类。由于上述结果,以及已经为PLC公用事业建立了FIXP成员资格这一事实,PLC公用事业函数下的Arrow-Debreu市场的整个计算难度在于Leontief公用事业子案例。这可能是我们的结果中最意想不到的方面,因为Leontief效用是针对商品是完美互补的情况,而PLC效用是非常普遍的,不仅捕获了商品是互补和替代品的情况,还捕获了这些情况的任意组合等等。最后,我们给出了在Leontief效用函数下的Arrow-Debreu交易市场中,当代理数量为常数时,求平衡点的多项式时间算法。这部分解决了Devanur和Kannan(2008)提出的开放性问题。
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Settling the complexity of Leontief and PLC exchange markets under exact and approximate equilibria
Our first result shows membership in PPAD for the problem of computing approximate equilibria for an Arrow-Debreu exchange market for piecewise-linear concave (PLC) utility functions. As a corollary we also obtain membership in PPAD for Leontief utility functions. This settles an open question of Vazirani and Yannakakis (2011). Next we show FIXP-hardness of computing equilibria in Arrow-Debreu exchange markets under Leontief utility functions, and Arrow-Debreu markets under linear utility functions and Leontief production sets, thereby settling these open questions of Vazirani and Yannakakis (2011). As corollaries, we obtain FIXP-hardness for PLC utilities and for Arrow-Debreu markets under linear utility functions and polyhedral production sets. In all cases, as required under FIXP, the set of instances mapped onto will admit equilibria, i.e., will be "yes" instances. If all instances are under consideration, then in all cases we prove that the problem of deciding if a given instance admits an equilibrium is ETR-complete, where ETR is the class Existential Theory of Reals. As a consequence of the results stated above, and the fact that membership in FIXP has been established for PLC utilities, the entire computational difficulty of Arrow-Debreu markets under PLC utility functions lies in the Leontief utility subcase. This is perhaps the most unexpected aspect of our result, since Leontief utilities are meant for the case that goods are perfect complements, whereas PLC utilities are very general, capturing not only the cases when goods are complements and substitutes, but also arbitrary combinations of these and much more. Finally, we give a polynomial time algorithm for finding an equilibrium in Arrow-Debreu exchange markets under Leontief utility functions provided the number of agents is a constant. This settles part of an open problem of Devanur and Kannan (2008).
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