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The Schelling model on Z

Deijfen, Maria and Vilkas, Timo LU orcid (2021) In Annales de l'institut Henri Poincare (B) Probability and Statistics 57(2). p.800-814
Abstract

A version of the Schelling model on Z is defined, where two types of agents are allocated on the sites. An agent prefers to be surrounded by other agents of its own type, and may choose to move if this is not the case. It then sends a request to an agent of opposite type chosen according to some given moving distribution and, if the move is beneficial for both agents, they swap location. We show that certain choices in the dynamics are crucial for the properties of the model. In particular, the model exhibits different asymptotic behavior depending on whether the moving distribution has bounded or unbounded support. Furthermore, the behavior changes if the agents are lazy in the sense that they only swap location if this strictly... (More)

A version of the Schelling model on Z is defined, where two types of agents are allocated on the sites. An agent prefers to be surrounded by other agents of its own type, and may choose to move if this is not the case. It then sends a request to an agent of opposite type chosen according to some given moving distribution and, if the move is beneficial for both agents, they swap location. We show that certain choices in the dynamics are crucial for the properties of the model. In particular, the model exhibits different asymptotic behavior depending on whether the moving distribution has bounded or unbounded support. Furthermore, the behavior changes if the agents are lazy in the sense that they only swap location if this strictly improves their situation. Generalizations to a version that includes multiple types are discussed. The work provides a rigorous analysis of so called Kawasaki dynamics on an infinite structure with local interactions.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
keywords
Asymptotic behavior, Interacting particle systems, Kawasaki dynamics, Schelling segregation model, Voter model
in
Annales de l'institut Henri Poincare (B) Probability and Statistics
volume
57
issue
2
pages
15 pages
publisher
Gauthier-Villars
external identifiers
  • scopus:85106365833
ISSN
0246-0203
DOI
10.1214/20-AIHP1096
language
English
LU publication?
no
additional info
Publisher Copyright: © 2021 Institute of Mathematical Statistics. All rights reserved.
id
03bce42d-81a1-42fd-87bc-2323fb2eebc3
date added to LUP
2023-12-14 13:16:22
date last changed
2023-12-14 15:08:35
@article{03bce42d-81a1-42fd-87bc-2323fb2eebc3,
  abstract     = {{<p>A version of the Schelling model on Z is defined, where two types of agents are allocated on the sites. An agent prefers to be surrounded by other agents of its own type, and may choose to move if this is not the case. It then sends a request to an agent of opposite type chosen according to some given moving distribution and, if the move is beneficial for both agents, they swap location. We show that certain choices in the dynamics are crucial for the properties of the model. In particular, the model exhibits different asymptotic behavior depending on whether the moving distribution has bounded or unbounded support. Furthermore, the behavior changes if the agents are lazy in the sense that they only swap location if this strictly improves their situation. Generalizations to a version that includes multiple types are discussed. The work provides a rigorous analysis of so called Kawasaki dynamics on an infinite structure with local interactions.</p>}},
  author       = {{Deijfen, Maria and Vilkas, Timo}},
  issn         = {{0246-0203}},
  keywords     = {{Asymptotic behavior; Interacting particle systems; Kawasaki dynamics; Schelling segregation model; Voter model}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{800--814}},
  publisher    = {{Gauthier-Villars}},
  series       = {{Annales de l'institut Henri Poincare (B) Probability and Statistics}},
  title        = {{The Schelling model on Z}},
  url          = {{http://dx.doi.org/10.1214/20-AIHP1096}},
  doi          = {{10.1214/20-AIHP1096}},
  volume       = {{57}},
  year         = {{2021}},
}