Distribution of money on connected graphs with multiple banks
Nicolas Lanchier, Stephanie Reed

TL;DR
This paper proves that in a generalized model of money distribution on connected graphs with multiple banks, the equilibrium distribution converges to an asymmetric Laplace distribution, extending previous conjectures to more complex network structures.
Contribution
It extends the conjecture of money distribution convergence to asymmetric Laplace to models with multiple banks and arbitrary connected graphs, providing exact distribution expressions.
Findings
Convergence to asymmetric Laplace distribution for any connected graph.
Extension of previous single-bank models to multi-bank, networked settings.
Exact distribution formulas for all population sizes and temperatures.
Abstract
This paper studies an interacting particle system of interest in econophysics inspired from a model introduced in the physics literature. The original model consists of the customers of a single bank characterized by their capital, and the discrete-time dynamics consists of monetary transactions in which a random individual gives one coin to another random individual , the transaction being canceled when is in debt and there is no more coins to borrow from the bank. Using a combination of numerical simulations and heuristic arguments, physicists conjectured that the distribution of money (the distribution of the number of coins owned by a given individual) at equilibrium converges to an asymmetric Laplace distribution in the large population/temperature limit. In this paper, we prove and extend this conjecture to a more general model including multiple banks and interactions…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Complex Network Analysis Techniques · Opinion Dynamics and Social Influence
