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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

Convergence results for the time-changed fractional Ornstein–Uhlenbeck processes


Authors: G. Ascione, Yu. Mishura and E. Pirozzi
Journal: Theor. Probability and Math. Statist. 104 (2021), 23-47
MSC (2020): Primary 60G22; Secondary 60F17, 35R11
DOI: https://doi.org/10.1090/tpms/1143
Published electronically: September 24, 2021
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Abstract: In this paper we study some convergence results concerning the one-dimensional distribution of a time-changed fractional Ornstein–Uhlenbeck process. In particular, we establish that, despite the time change, the process admits a Gaussian limit random variable. On the other hand, we prove that the process converges towards the time-changed Ornstein–Uhlenbeck as the Hurst index $H \to 1/2^+$, with locally uniform convergence of one-dimensional distributions. Moreover, we also achieve convergence in the Skorokhod $J_1$-topology of the time-changed fractional Ornstein–Uhlenbeck process as $H \to 1/2^+$ in the space of càdlàg functions. Finally, we exploit some convergence properties of mild solutions of a generalized Fokker–Planck equation associated to the aforementioned processes, as $H \to 1/2^+$.


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Additional Information

G. Ascione
Affiliation: Dipartimento di Matematica e Applicazioni “Renato Caccioppoli”, Universita degli Studi di Napoli Federico II, 80126 Napoli, Italy
Email: giacomo.ascione@unina.it

Yu. Mishura
Affiliation: Department of Probability Theory, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Volodymyrska 64, Kyiv 01601, Ukraine
Email: myus@univ.kiev.ua

E. Pirozzi
Affiliation: Dipartimento di Matematica e Applicazioni “Renato Caccioppoli”, Universita degli Studi di Napoli Federico II, 80126 Napoli, Italy
Email: enrica.pirozzi@unina.it

Keywords: Fractional Brownian motion, subordinator, weak convergence in Skorokhod space, generalized Fokker–Planck equation
Received by editor(s): October 19, 2020
Published electronically: September 24, 2021
Additional Notes: This research was partially supported by MIUR - PRIN 2017, project Stochastic Models for Complex Systems, no. 2017JFFHSH, by Gruppo Nazionale per il Calcolo Scientifico (GNCS-INdAM), by Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA-INdAM). The 2nd author was partially supported by the project STORM: Stochastics for Time-Space Risk Models, funded by the University of Oslo and the Research Council of Norway within the ToppForsk call, N. 274410, and by the research project Exact formulas, estimates, asymptotic properties and statistical analysis of complex evolutionary systems with many degrees of freedom, funded by the Ministry of science and education of Ukraine, N. 0119U100317
Article copyright: © Copyright 2021 Taras Shevchenko National University of Kyiv