A biased dollar exchange model involving bank and debt with discontinuous equilibrium

In this work, we investigate a biased dollar exchange model with collective debt limit, in which agents picked at random (with a rate depending on the amount of dollars they have) give at random time a dollar to another agent being picked uniformly at random, as long as they have at least one dollar in their pockets or they can borrow a dollar from a central bank if the bank is not empty. This dynamics enjoys a mean-field type interaction and partially extends the recent work (Cao and Motsch SIAM J. Appl. Math. 83 (2023) 1872–1891). on a related model. We perform a formal mean-field analysis as the number of agents grows to infinity and as a by-product we discover a two-phase (ODE) dynamics behind the underlying stochastic N-agents dynamics. Numerical experiments on the two-phase (ODE) dynamics are also conducted where we observe the convergence towards its unique equilibrium in the large time limit.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-17
DOI
https://doi.org/10.1051/mmnp/2025007/pdf
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

A biased dollar exchange model involving bank and debt with discontinuous equilibrium

Fei Cao, Stephanie Reed
Springer Link (Chiba Institute of Technology)
Complex Systems and Time Series Analysis
article

A biased dollar exchange model involving bank and debt with discontinuous equilibrium

Fei Cao, Stephanie Reed
article en

Abstract

In this work, we investigate a biased dollar exchange model with collective debt limit, in which agents picked at random (with a rate depending on the amount of dollars they have) give at random time a dollar to another agent being picked uniformly at random, as long as they have at least one dollar in their pockets or they can borrow a dollar from a central bank if the bank is not empty. This dynamics enjoys a mean-field type interaction and partially extends the recent work (Cao and Motsch SIAM J. Appl. Math. 83 (2023) 1872–1891). on a related model. We perform a formal mean-field analysis as the number of agents grows to infinity and as a by-product we discover a two-phase (ODE) dynamics behind the underlying stochastic N-agents dynamics. Numerical experiments on the two-phase (ODE) dynamics are also conducted where we observe the convergence towards its unique equilibrium in the large time limit.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 14%
Complex Systems and Time Series Analysis
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