A Journal "Theory of Probability and Mathematical Statistics"
2026
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1978
1977
1976
1975
1974
1973
1972
1971
1970


Archive

About   Editorial Board   Contacts   Template   Publication Ethics   Peer Review Process   Special Issues   History  

Theory of Probability and Mathematical Statistics



Approximation of solutions of wave equation driven by stochastic measures

V. M. Radchenko, N. O. Stefans’ka

Download PDF

Abstract: The mild solution to the wave equation driven by a general stochastic measure is considered. The theorem on the convergence of solutions of this equation under condition of convergence of paths of stochastic measures is proved.

Keywords: Stochastic measure, stochastic wave equation, mild solution, Fourier–Haar series.

Bibliography:
1. I. M. Bodnarchuk, Wave equation with a stochastic measure, Theory Probab. Math. Statist., 94 (2017), 1-16.
2. I. Bodnarchuk, Mild solution of the wave equation with a general random measure, Visnyk Kyiv University. Mathematics. Mechanics, 24 (2010), 28-33. (in Ukrainian)
3. L. Pryhara, G. Shevchenko, Stochastic wave equation in a plane driven by spatial stable noise, Mod. Stoch. Theory Appl., 3 (2016), no. 3, 237-248.
4. L. Pryhara, G. Shevchenko, Wave equation with stable noise, Teor. Imovir. Matem. Statist., 96 (2017), 142-154. (in Ukrainian)
5. F. J. Delgado-Vences, M. Sanz-Sole, Approximation of a stochastic wave equation in dimension three, with application to a support theorem in Holder norm, Bernoulli, 20 , (2014), 2169-2216.
6. F. J. Delgado-Vences, M. Sanz-Sole, Approximation of a stochastic wave equation in dimension three, with application to a support theorem in Holder norm: The non-stationary case, Bernoulli, 22 , (2016), 1572-1597.
7. V. M. Radchenko, N. O. Stefans'ka, Fourier and Fourier-Haar series for stochastic measures, Teor. Imovir. Matem. Statist., 96 (2017), 155-162. (in Ukrainian)
8. V. M. Radchenko, N. O. Stefans'ka, Fourier transform of general stochastic measures, Theory Probab. Math. Statist., 94 (2017), 151-158.
9. G. Samorodnitsky, M. Taqqu, Stable Non-Gaussian Random Processes, Chapman and Hall, London, 1994.
10. S. Kwapien, W. A. Woyczynski, Random Series and Stochastic Integrals: Single and Multiple, Birkhauser, Boston, 1992.
11. V. N. Radchenko, Integrals with respect to general stochastic measures , Proceedings of Institute of Mathematics, National Academy of Science of Ukraine, Kyiv, 1999. (in Russian)
12. M. Talagrand, Les mesures vectorielles a valeurs dans L0 sont bornees, Ann. Sci. Ecole Norm. Sup., 14 (1981), 445-452.
13. V. M. Radchenko, Evolution equations driven by general stochastic measures in Hilbert space, Theory Probab. Appl., 59 (2015), 328-339.
14. V. N. Radchenko, Sample functions of stochastic measures and Besov spaces, Theory Probab. Appl., 54 (2010), 160-168.
15. N. N. Vakhania, V. I. Tarieladze, S. A. Chobanian, Probability Distributions on Banach Spaces, D. Reidel Publishing Co., Dordrecht, 1987.
16. B. S. Kashin, A. A. Saakyan, Orthogonal series , AMS, Providence, 1989.
17. V. M. Radchenko, Approximation of integrals with respect to a random measure by integrals with respect to a real measure, Theory Probab. Math. Statist., 55 (1997), 177-180.