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Limit Theorems for Conservative Flows on Multiple Stochastic Integrals

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  • Shuyang Bai

    (University of Georgia)

Abstract

We consider a stationary sequence $$(X_n)$$ ( X n ) constructed by a multiple stochastic integral and an infinite-measure conservative dynamical system. The random measure defining the multiple integral is non-Gaussian and infinitely divisible and has a finite variance. Some additional assumptions on the dynamical system give rise to a parameter $$\beta \in (0,1)$$ β ∈ ( 0 , 1 ) quantifying the conservativity of the system. This parameter $$\beta $$ β together with the order of the integral determines the decay rate of the covariance of $$(X_n)$$ ( X n ) . The goal of the paper is to establish limit theorems for the partial sum process of $$(X_n)$$ ( X n ) . We obtain a central limit theorem with Brownian motion as limit when the covariance decays fast enough, as well as a non-central limit theorem with fractional Brownian motion or Rosenblatt process as limit when the covariance decays slowly enough.

Suggested Citation

  • Shuyang Bai, 2022. "Limit Theorems for Conservative Flows on Multiple Stochastic Integrals," Journal of Theoretical Probability, Springer, vol. 35(2), pages 917-948, June.
  • Handle: RePEc:spr:jotpro:v:35:y:2022:i:2:d:10.1007_s10959-021-01090-9
    DOI: 10.1007/s10959-021-01090-9
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    References listed on IDEAS

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    1. Takashi Owada, 2016. "Limit Theory for the Sample Autocovariance for Heavy-Tailed Stationary Infinitely Divisible Processes Generated by Conservative Flows," Journal of Theoretical Probability, Springer, vol. 29(1), pages 63-95, March.
    2. Pipiras,Vladas & Taqqu,Murad S., 2017. "Long-Range Dependence and Self-Similarity," Cambridge Books, Cambridge University Press, number 9781107039469.
    3. Bai, Shuyang & Owada, Takashi & Wang, Yizao, 2020. "A functional non-central limit theorem for multiple-stable processes with long-range dependence," Stochastic Processes and their Applications, Elsevier, vol. 130(9), pages 5768-5801.
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