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Constant inapproximability for Fisher markets

Abstract:
We study the problem of computing approximate market equilibria in Fisher markets with separable piecewise-linear concave (SPLC) utility functions. In this setting, the problem was only known to be PPAD-complete for inverse-polynomial approximations. We strengthen this result by showing PPAD-hardness for constant approximations. This means that the problem does not admit a polynomial time approximation scheme (PTAS) unless PPAD = P. In fact, we prove that computing any approximation better than 1/11 is PPAD-complete. As a direct byproduct of our main result, we get the same inapproximability bound for Arrow-Debreu exchange markets with SPLC utility functions.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3670865.3673533

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
All Souls College
Role:
Author
ORCID:
0000-0001-5255-9349


More from this funder
Funder identifier:
https://ror.org/0439y7842
Funding agency for:
Deligkas, A
Grant:
EP/X039862/1
Programme:
NAfANE: New Approaches for Approximate Nash Equilibria
More from this funder
Funder identifier:
https://ror.org/0439y7842
Funding agency for:
Fearnley, J
Grant:
EP/W014750/1
Programme:
New Techniques for Resolving Boundary Problems in Total Search


Publisher:
Association for Computing Machinery
Host title:
EC '24: Proceedings of the 25th ACM Conference on Economics and Computation
Pages:
13-39
Publication date:
2024-12-17
Acceptance date:
2024-05-18
Event title:
25th ACM Conference on Economics and Computation (EC 2024)
Event location:
New Haven, CT, United States
Event website:
https://ec24.sigecom.org/
Event start date:
2024-07-08
Event end date:
2024-07-11
DOI:
EISBN:
9798400707049


Language:
English
Keywords:
Pubs id:
2020860
Local pid:
pubs:2020860
Deposit date:
2024-08-09

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