A primal-dual algorithm for computing Fisher equilibrium in the absence of gross substitutability property

We provide the first strongly polynomial time exact combinatorial algorithm to compute Fisher equilibrium for the case when utility functions do not satisfy the Gross substitutability property. The motivation for this comes from the work of Kelly, Maulloo, and Tan [F.P. Kelly, A.K. Maulloo, D.K.H. T...

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Vydané v:Theoretical computer science Ročník 378; číslo 2; s. 143 - 152
Hlavní autori: Garg, Dinesh, Jain, Kamal, Talwar, Kunal, Vazirani, Vijay V.
Médium: Journal Article Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 06.06.2007
Elsevier
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ISSN:0304-3975, 1879-2294
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Abstract We provide the first strongly polynomial time exact combinatorial algorithm to compute Fisher equilibrium for the case when utility functions do not satisfy the Gross substitutability property. The motivation for this comes from the work of Kelly, Maulloo, and Tan [F.P. Kelly, A.K. Maulloo, D.K.H. Tan, Rate control for communication networks: Shadow prices, proportional fairness and stability, Journal of Operational Research (1998)] and Kelly and Vazirani [F.P. Kelly, Vijay V. Vazirani, Rate control as a market equilibrium (2003) (in preparation)] on rate control in communication networks. We consider a tree like network in which root is the source and all the leaf nodes are the sinks. Each sink has got a fixed amount of money which it can use to buy the capacities of the edges in the network. The edges of the network sell their capacities at certain prices. The objective of each edge is to fix a price that can fetch the maximum money for it, and the objective of each sink is to buy capacities on edges in such a way that it can facilitate the sink to pull maximum flow from the source. In this problem, the edges and the sinks play precisely the role of sellers and buyers, respectively, in Fisher’s market model. The utility of a buyer (or sink) takes the form of a Leontief function which is known for not satisfying Gross substitutability property. We develop an O ( m 3 ) exact combinatorial algorithm for computing equilibrium prices of the edges. The time taken by our algorithm is independent of the values of sink money and edge capacities. A corollary of our algorithm is that equilibrium prices and flows are rational numbers. Although there are algorithms to solve this problem they are all based on convex programming techniques. To the best of our knowledge, ours is the first strongly polynomial time exact combinatorial algorithm for computing equilibrium prices of Fisher’s model under the case when buyers’ utility functions do not satisfy gross substitutability property.
AbstractList We provide the first strongly polynomial time exact combinatorial algorithm to compute Fisher equilibrium for the case when utility functions do not satisfy the Gross substitutability property. The motivation for this comes from the work of Kelly, Maulloo, and Tan [F.P. Kelly, A.K. Maulloo, D.K.H. Tan, Rate control for communication networks: Shadow prices, proportional fairness and stability, Journal of Operational Research (1998)] and Kelly and Vazirani [F.P. Kelly, Vijay V. Vazirani, Rate control as a market equilibrium (2003) (in preparation)] on rate control in communication networks. We consider a tree like network in which root is the source and all the leaf nodes are the sinks. Each sink has got a fixed amount of money which it can use to buy the capacities of the edges in the network. The edges of the network sell their capacities at certain prices. The objective of each edge is to fix a price that can fetch the maximum money for it, and the objective of each sink is to buy capacities on edges in such a way that it can facilitate the sink to pull maximum flow from the source. In this problem, the edges and the sinks play precisely the role of sellers and buyers, respectively, in Fisher’s market model. The utility of a buyer (or sink) takes the form of a Leontief function which is known for not satisfying Gross substitutability property. We develop an O ( m 3 ) exact combinatorial algorithm for computing equilibrium prices of the edges. The time taken by our algorithm is independent of the values of sink money and edge capacities. A corollary of our algorithm is that equilibrium prices and flows are rational numbers. Although there are algorithms to solve this problem they are all based on convex programming techniques. To the best of our knowledge, ours is the first strongly polynomial time exact combinatorial algorithm for computing equilibrium prices of Fisher’s model under the case when buyers’ utility functions do not satisfy gross substitutability property.
Author Jain, Kamal
Vazirani, Vijay V.
Garg, Dinesh
Talwar, Kunal
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10.1016/S0022-0000(03)00011-4
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10.1145/509919.509920
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Issue 2
Keywords Computing market equilibria
Primal-dual algorithm
Strongly polynomial time exact algorithm
Gross substitutability property
Fisher equilibrium
Combinatorial algorithm
Polynomial
Computer theory
Node
Research
Computing
Communication network
Knowledge
Equilibrium
Convex programming
Flow
Polynomial time
Maximum
Tree
Numerical stability
Communication
Language English
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  article-title: Consensus of subjective probabilities: The Pari–Mutuel method
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Snippet We provide the first strongly polynomial time exact combinatorial algorithm to compute Fisher equilibrium for the case when utility functions do not satisfy...
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StartPage 143
SubjectTerms Algorithmics. Computability. Computer arithmetics
Applied sciences
Combinatorial algorithm
Combinatorics
Combinatorics. Ordered structures
Computer science; control theory; systems
Computing market equilibria
Exact sciences and technology
Fisher equilibrium
Graph theory
Gross substitutability property
Mathematics
Miscellaneous
Primal-dual algorithm
Programming theory
Sciences and techniques of general use
Strongly polynomial time exact algorithm
Theoretical computing
Title A primal-dual algorithm for computing Fisher equilibrium in the absence of gross substitutability property
URI https://dx.doi.org/10.1016/j.tcs.2007.02.017
Volume 378
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