Abstract
Long-range dependence in time series may yield non-central limit theorems. We show that there are analogous time series in free probability with limits represented by multiple Wigner integrals, where Hermite processes are replaced by non-commutative Tchebycheff processes. This includes the non-commutative fractional Brownian motion and the non-commutative Rosenblatt process.
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Notes
Cumulants have the following property which linearizes independence:
$$ \kappa_n(X+Y,\ldots,X+Y)=\kappa_n(X, \ldots,X)+\kappa_n(Y,\ldots ,Y),\quad n\geq1. $$(2.7)Relation (2.7) holds in classical probability if X and Y are independent random variables and it holds in free probability if X and Y are freely independent (see [11, Proposition 12.3]). Since the classical notion of independence is different from the notion of free independence, the cumulants κ n in classical probability are different from those in free probability.
Since all the free cumulants of S 2 are equal to 1, S 2 has a free Poisson law with mean 1.
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Acknowledgements
Ivan Nourdin was partially supported by the ANR Grants ANR-09-BLAN-0114 and ANR-10-BLAN-0121 at Université de Lorraine. Murad S. Taqqu was partially supported by the NSF Grant DMS-1007616 at Boston University.
We would like to thank two anonymous referees for their careful reading of the manuscript and for their valuable suggestions and remarks. Also, I. Nourdin would like to warmly thank M. S. Taqqu for his hospitality during his stay at Boston University in October 2011, where part of this research was carried out.
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Nourdin, I., Taqqu, M.S. Central and Non-central Limit Theorems in a Free Probability Setting. J Theor Probab 27, 220–248 (2014). https://doi.org/10.1007/s10959-012-0443-2
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DOI: https://doi.org/10.1007/s10959-012-0443-2
Keywords
- Central limit theorem
- Non-central limit theorem
- Convergence in distribution
- Fractional Brownian motion
- Free Brownian motion
- Free probability
- Rosenblatt process
- Wigner integral