The Proof of Convergence with Probability 1 in the Method of Expansion of Iterated Ito Stochastic Integrals Based on Generalized Multiple Fourier Series
| Autor: | Kuznetsov, Dmitriy F. |
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| Rok vydání: | 2020 |
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| Zdroj: | Electronic Journal "Differential Equations and Control Processes", no. 2, 2020, pp. 89-117. Available at: https://diffjournal.spbu.ru/EN/numbers/2020.2/article.1.6.html |
| Druh dokumentu: | Working Paper |
| Popis: | The article is devoted to the formulation and proof of the theorem on convergence with probability 1 of expansion of iterated Ito stochastic integrals of arbitrary multiplicity based on generalized multiple Fourier series converging in the sense of norm in Hilbert space. The cases of multiple Fourier-Legendre series and multiple trigonomertic Fourier series are considered in detail. The proof of the mentioned theorem is based on the general properties of multiple Fourier series as well as on the estimate for the fourth moment of approximation error in the method of expansion of iterated Ito stochastic integrals based on generalized multiple Fourier series. Comment: 33 pages. Minor changes along the text in the whole. arXiv admin note: substantial text overlap with arXiv:2003.14184, arXiv:1801.01079, arXiv:1712.09746, arXiv:1802.00643, arXiv:1802.00643 |
| Databáze: | arXiv |
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