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Dynamics of multi-player games

E Ben-Naim1, B Kahng1,2 and J S Kim1,2

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Figure 1

Figure 1. The stationary distribution of winning rates (12) for the case n = 3, m = 1.



Figure 2

Figure 2. The stationary distribution of winning rates (17) for n = 3, m = 2.



Figure 3

Figure 3. The stationary distribution of winning rates (26) for the case n = m = 3.



Figure 4

Figure 4. The stationary distribution of winning rates Φ(x) for n = 4 (top) and n = 10 (bottom). Monte Carlo simulation results with N = 106 particles at time t = 105 are shown. The circles are the theoretical predictions for the maximal winning rate x0 and the size of the lower tier Φ0.



Figure 5

Figure 5. The infinite-n limit. From equation (37), the points (x0, Φ0) all lie on the curve Φ = (x - 1)/x (dashed line).




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