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| Content Provider | ACM Digital Library |
|---|---|
| Author | Fleischer, Lisa Saberi, Amin Kapoor, Sanjiv Khandekar, Rohit Garg, Rahul |
| Copyright Year | 2016 |
| Abstract | We give a new mathematical formulation of market equilibria in exchange economies using an indirect utility function: the function of prices and income that gives the maximum utility achievable. The formulation is a $\textit{convex}$ program and can be solved when the indirect utility function is convex in prices. We illustrate that many economies, including: —Homogeneous utilities of degree α ∈ [0, 1] in Fisher economies—this includes Linear, Leontief, Cobb-Douglas —Resource allocation utilities like multi-commodity flows satisfy this condition and can be efficiently solved. Further, we give a natural tâtonnement type price-adjusting algorithm in these economies. Our algorithm, which is applicable to a larger class of utility functions than previously known weak gross substitutes, mimics the natural dynamics for the markets as suggested by Walras: it iteratively adjusts a good’s price upward when the demand for that good under current prices exceeds its supply; and downward when its supply exceeds its demand. The algorithm computes an approximate equilibrium in a number of iterations that is independent of the number of traders and is almost $\textit{linear}$ in the number of goods. |
| Starting Page | 1 |
| Ending Page | 15 |
| Page Count | 15 |
| File Format | |
| ISSN | 15496325 |
| e-ISSN | 15496333 |
| DOI | 10.1145/2905372 |
| Volume Number | 12 |
| Issue Number | 3 |
| Journal | ACM Transactions on Algorithms (TALG) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-05-13 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Market equilibrium Approximation algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics |
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