Accelerated Price Adjustment for Fisher Markets with Exact Recovery of Competitive Equilibrium

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Hauptverfasser: Chen, He, Jiang, Chonghe, So, Anthony Man-Cho
Format: Preprint
Veröffentlicht: 2025
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author Chen, He
Jiang, Chonghe
So, Anthony Man-Cho
author_facet Chen, He
Jiang, Chonghe
So, Anthony Man-Cho
contents The canonical price-adjustment process, tâtonnement, typically fails to converge to the exact competitive equilibrium (CE) and requires a high iteration complexity of $\tilde{\mathcal{O}}(1/ε)$ to compute $ε$-CE prices in widely studied linear and quasi-linear Fisher markets. This paper proposes refined price-adjustment processes to overcome these limitations. By formulating the task of finding CE of a (quasi-)linear Fisher market as a strongly convex nonsmooth minimization problem, we develop a novel accelerated price-adjustment method (APM) that finds an $ε$-CE price in $\tilde{\mathcal{O}}(1/\sqrtε)$ lightweight iterations, which significantly improves upon the iteration complexities of tâtonnement methods. Furthermore, through our new formulation, we construct a recovery oracle that maps approximate CE prices to exact CE prices at a low computational cost. By coupling this recovery oracle with APM, we obtain an adaptive price-adjustment method whose iterates converge to CE prices in finite steps. To the best of our knowledge, this is the first convergence guarantee to exact CE for price-adjustment methods in linear and quasi-linear Fisher markets. Our developments pave the way for efficient lightweight computation of CE prices. We also present numerical results to demonstrate the fast convergence of the proposed methods and the efficient recovery of CE prices.
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id arxiv_https___arxiv_org_abs_2510_07759
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Accelerated Price Adjustment for Fisher Markets with Exact Recovery of Competitive Equilibrium
Chen, He
Jiang, Chonghe
So, Anthony Man-Cho
Optimization and Control
The canonical price-adjustment process, tâtonnement, typically fails to converge to the exact competitive equilibrium (CE) and requires a high iteration complexity of $\tilde{\mathcal{O}}(1/ε)$ to compute $ε$-CE prices in widely studied linear and quasi-linear Fisher markets. This paper proposes refined price-adjustment processes to overcome these limitations. By formulating the task of finding CE of a (quasi-)linear Fisher market as a strongly convex nonsmooth minimization problem, we develop a novel accelerated price-adjustment method (APM) that finds an $ε$-CE price in $\tilde{\mathcal{O}}(1/\sqrtε)$ lightweight iterations, which significantly improves upon the iteration complexities of tâtonnement methods. Furthermore, through our new formulation, we construct a recovery oracle that maps approximate CE prices to exact CE prices at a low computational cost. By coupling this recovery oracle with APM, we obtain an adaptive price-adjustment method whose iterates converge to CE prices in finite steps. To the best of our knowledge, this is the first convergence guarantee to exact CE for price-adjustment methods in linear and quasi-linear Fisher markets. Our developments pave the way for efficient lightweight computation of CE prices. We also present numerical results to demonstrate the fast convergence of the proposed methods and the efficient recovery of CE prices.
title Accelerated Price Adjustment for Fisher Markets with Exact Recovery of Competitive Equilibrium
topic Optimization and Control
url https://arxiv.org/abs/2510.07759