Simulation of a Gaussian stationary process with a stable correlation function with a given reliability and accuracy
DOI:
https://doi.org/10.17721/1812-5409.2020/3.9Abstract
In this paper, the representation of random processes in the form of random series with uncorrelated members obtained in the work by Yu. V. Kozachenko, I.V. Rozora, E.V. Turchina (2007) [1]. Similar constructions were studied in the book by Yu. V. Kozachenko and others. [2] in the general case. However, there are additional difficulties in construction of models of specific process, such as, for example, selection of the appropriate basis in L_2(R). In this paper, models are constructed that approximate the Gaussian process with a stable correlation function $\rho_{\alpha} (h) = E X_{\alpha}(t + h) X_{\alpha}(t) = B^2 \exp{-d|h|^{\alpha}}, \alpha > 0, d > 0$ with parameter $\alpha = 2$, which is a centered stationary process with a given reliability and accuracy in the space L_p ([0,T]). And also the rates of convergence of the models are found, the corresponding theorems are formulated. Methods of representation and main properties of the process with a stable correlation function $\rho_2(h) = B^2 \exp{-d|h|^2}, d > 0$ are considered. As a basis in the space L_2(T) Hermitian functions are used.
Key words: correlation function, simulation, model of the process, accuracy, reliability.
Pages of the article in the issue: 89 - 95
Language of the article: Ukrainian
References
KOZACHENKO, YU.V., ROZORA, I.V., TURCHYN, YE. V. (2007) On expansion of random process in series. Random Operators and Stohastic Equations. v. 15(1). P. 15–35.
KOZACHENKO, YU.V., MLAVETS, YU. YU., MOKLIACHUK, O.M. (2015) Kvazibanakhovi prostory vypadkovykh velychyn. Uzhhorod: Karpaty.
UHLENBECK, G.E., ORNSTEIN, L.S. (1930) On the theory of Brownian motion Phys. Rev. v. 36 P. 832–841.
KAMPE DE FERIET J. (1957) Fonctions de la Physique Mathematique. Paris: Paris Editions du CNRS.
ERDELYI, A. (1953) Higher Transcendental Functions. New-York: McGraw-Hill. Vol. II.
KAMENSCHIKOVA, O., KOZACHENKO, Y. (2009) On an expansion of random processes in the space L_p(T). Theory Probab. And Math. Statist.. v.79. P. 83–88.
Downloads
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).