Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Deligkas, Argyrios, Fearnley, John, Hollender, Alexandros, Melissourgos, Themistoklis
Format: Preprint
Published: 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915970250964992
author Deligkas, Argyrios
Fearnley, John
Hollender, Alexandros
Melissourgos, Themistoklis
author_facet Deligkas, Argyrios
Fearnley, John
Hollender, Alexandros
Melissourgos, Themistoklis
contents We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, meaning that every buyer receives a $(1-δ)$-optimal bundle, instead of a perfectly optimal one. We establish the first intractability result for the problem by showing that it is PPAD-hard for some constant $δ> 0$, assuming the PCP-for-PPAD conjecture. This hardness result holds even if all buyers have identical budgets (competitive equilibrium with equal incomes), linear capped utilities, and even if we also allow $\varepsilon$-approximate clearing instead of perfect clearing, for any constant $\varepsilon < 1/9$. Importantly, we show that the PCP-for-PPAD conjecture is in fact required to show hardness for constant $δ$: showing PPAD-hardness for finding such approximate market equilibria in a broad class of markets encompassing those generated by our hardness result would prove the conjecture. This is the first natural problem where the conjecture is provably required to establish hardness for it.
format Preprint
id arxiv_https___arxiv_org_abs_2604_27276
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD
Deligkas, Argyrios
Fearnley, John
Hollender, Alexandros
Melissourgos, Themistoklis
Computer Science and Game Theory
Computational Complexity
We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, meaning that every buyer receives a $(1-δ)$-optimal bundle, instead of a perfectly optimal one. We establish the first intractability result for the problem by showing that it is PPAD-hard for some constant $δ> 0$, assuming the PCP-for-PPAD conjecture. This hardness result holds even if all buyers have identical budgets (competitive equilibrium with equal incomes), linear capped utilities, and even if we also allow $\varepsilon$-approximate clearing instead of perfect clearing, for any constant $\varepsilon < 1/9$. Importantly, we show that the PCP-for-PPAD conjecture is in fact required to show hardness for constant $δ$: showing PPAD-hardness for finding such approximate market equilibria in a broad class of markets encompassing those generated by our hardness result would prove the conjecture. This is the first natural problem where the conjecture is provably required to establish hardness for it.
title Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD
topic Computer Science and Game Theory
Computational Complexity
url https://arxiv.org/abs/2604.27276