Stability in Distribution of Randomly Perturbed Quadratic Maps as Markov Processes

Rabi Bhattacharya, Mukul Majumdar

Iteration of randomly chosen quadratic maps defines a Markov process: X_{n+1}=ε_{n+1}X_n(1-X_n), where ε_n are i.i.d. with values in the parameter space [0,4] of quadratic maps F_θ…