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Stochastic linearization produces a linear system with the same covariance kernel as the original nonlinear system. The method passes from factorization of finite-dimensional covariance kernels through convergence results to the final input/output operator representation of the linear system.doi:10.1155/s0161171204301225 fatcat:gd5wtwhqirbedcc57qg34yi7gi