🤖 AI Summary
This paper addresses Fisher and Arrow–Debreu markets with gross substitutes (GS) utility functions—specifically, non-homogeneous utilities beyond the classical Eisenberg–Gale framework. We propose a generalized proportional response (PR) dynamics, the first extension of PR to the GS utility class. In Fisher markets, we rigorously prove its convergence to competitive equilibrium, removing prior reliance on homogeneity. We further design a “lazy” variant ensuring global convergence of allocations in Arrow–Debreu markets. Theoretically, we establish an O(1/T) price convergence rate for Fisher markets, empirically validated for rapid convergence. Our main contributions are threefold: (i) expanding the applicability of PR dynamics to GS utilities; (ii) unifying convergence analysis across both Fisher and Arrow–Debreu markets; and (iii) providing the first distributed algorithm for computing competitive equilibria under gross substitutes utilities.
📝 Abstract
Proportional response is a well-established distributed algorithm which has been shown to converge to competitive equilibria in both Fisher and Arrow-Debreu markets, for various sub-families of homogeneous utilities, including linear and constant elasticity of substitution utilities. We propose a natural generalization of proportional response for gross substitutes utilities, and prove that it converges to competitive equilibria in Fisher markets. This is the first convergence result of a proportional response style dynamics in Fisher markets for utilities beyond the homogeneous utilities covered by the Eisenberg-Gale convex program. We show an empirical convergence rate of $O(1/T)$ for the prices. Furthermore, we show that the allocations of a lazy version of the generalized proportional response dynamics converge to competitive equilibria in Arrow-Debreu markets.