Viewpoint reveals how stochastic models explain steady states in wealth distribution, suggesting parallels to economics.
Motivated by discussions with John F. Stanton, this Viewpoint explains why a large class of fair or reversible "money games", i.e., stochastic models of wealth redistribution among agents, lead to steady states described by canonical and microcanonical distributions. The games considered include, for example, games in which more than two agents can be simultaneously involved in money transfers (similarly to many-body collisions in chemical kinetics) and in which amounts transferred between agents are random. At the same time, money games that break time reversal symmetry can also lead to canonical/microcanonical distributions, as illustrated by an explicit example.
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Dmitrii E. Makarov (2025) studied this question.
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