Abstract
We discuss nonlinear Markov processes defined on discrete time points and discrete state spaces using Markov chains. In this context, special attention is paid to the distinction between linear and nonlinear Markov processes. We illustrate that the Chapman–Kolmogorov equation holds for nonlinear Markov processes by a winner-takes-all model for social conformity.
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