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Continuum and thermodynamic limits for a simple random-exchange model
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Düring, Bertram, Georgiou, Nicos, Merino-Aceituno, Sara and Scalas, Enrico (2022) Continuum and thermodynamic limits for a simple random-exchange model. Stochastic Processes and their Applications, 149 . pp. 248-277. doi:10.1016/j.spa.2022.03.015 ISSN 0304-4149. [ 🗎 Public]. [ (✓) hoa:511 ]
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WRAP-Continuum-and-thermodynamic-limits-for-a-simple-random-exchange-model-During-2022.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only until 4 April 2023. Contact author directly, specifying your specific needs. - Requires a PDF viewer. Download (834Kb) |
Official URL: https://doi.org/10.1016/j.spa.2022.03.015
Abstract
We discuss various limits of a simple random exchange model that can be used for the distribution of wealth. We start from a discrete state space - discrete time version of this model and, under suitable scaling, we show its functional convergence to a continuous space - discrete time model. Then, we show a thermodynamic limit of the empirical distribution to the solution of a kinetic equation of Boltzmann type. We solve this equation and we show that the solutions coincide with the appropriate limits of the invariant measure for the Markov chain. In this way we complete Boltzmann’s program of deriving kinetic equations from random dynamics for this simple model. Three families of invariant measures for the mean field limit are discovered and we show that only two of those families can be obtained as limits of the discrete system while the third is extraneous.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | H Social Sciences > HB Economic Theory Q Science > QA Mathematics Q Science > QC Physics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Wealth -- Moral and ethical aspects, Income distribution, Mean field theory, Markov processes, Limit theorems (Probability theory), Exponential functions, Stochastic models, Kinetic theory of gases | |||||||||||||||
Journal or Publication Title: | Stochastic Processes and their Applications | |||||||||||||||
Publisher: | Elsevier Science BV | |||||||||||||||
ISSN: | 0304-4149 | |||||||||||||||
Official Date: | July 2022 | |||||||||||||||
Dates: |
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Volume: | 149 | |||||||||||||||
Page Range: | pp. 248-277 | |||||||||||||||
DOI: | 10.1016/j.spa.2022.03.015 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
Date of first compliant deposit: | 28 March 2022 | |||||||||||||||
Date of first compliant Open Access: | 27 May 2022 | |||||||||||||||
RIOXX Funder/Project Grant: |
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