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Stability in Distribution of Randomly Perturbed Quadratic Maps as Markov Processes

Author

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  • Bhattacharya, Rabi

    (Indiana U)

  • Majumdar, Mukul

    (Cornell U)

Abstract

Iteration of randomly chosen quadtratic maps defines a Markov process: X[subscript n + 1] = epsilon[subscript n + 1] X[subscript n](1 - X[subscript n]), where epsilon[subscript n] are i.i.d. with values in the parameter space [0, 4] of quadratic maps F[subscript theta](x) = theta*x(1 - x). Its study is of significance not only as an important Markov model, but also for dynamical systems defined by the individual quadratic maps themselves. In this article a broad criterion is established for positive Harris recurrence of X[subscript n], whose invariant probability may be viewed as an approximation to the so-called Kolmogorov measure of a dynamical system.

Suggested Citation

  • Bhattacharya, Rabi & Majumdar, Mukul, 2002. "Stability in Distribution of Randomly Perturbed Quadratic Maps as Markov Processes," Working Papers 02-03, Cornell University, Center for Analytic Economics.
  • Handle: RePEc:ecl:corcae:02-03
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    File URL: https://cae.economics.cornell.edu/bhattquadraticmaps.pdf
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