Remote Access Theory of Probability and Mathematical Statistics

Theory of Probability and Mathematical Statistics

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

 
 

 

Fourier series and Fourier–Haar series for stochastic measures


Authors: V. M. Radchenko and N. O. Stefans’ka
Translated by: S. V. Kvasko
Journal: Theor. Probability and Math. Statist. 96 (2018), 159-167
MSC (2010): Primary 60G57, 60H15, 60H05
DOI: https://doi.org/10.1090/tpms/1041
Published electronically: October 5, 2018
MathSciNet review: 3666879
Full-text PDF

Abstract | References | Similar Articles | Additional Information

Abstract: The Fourier series and Fourier–Haar series are introduced for general stochastic measures. The convergence of partial sums of these series and the absolute continuity of a stochastic measure are studied. An application is given for the convergence of solutions of the stochastic heat equation.


References [Enhancements On Off] (What's this?)

References

Similar Articles

Retrieve articles in Theory of Probability and Mathematical Statistics with MSC (2010): 60G57, 60H15, 60H05

Retrieve articles in all journals with MSC (2010): 60G57, 60H15, 60H05


Additional Information

V. M. Radchenko
Affiliation: Department of Mathematical Analysis, Faculty for Mechanics and Mathematics, National Taras Shevchenko University, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine
Email: vradchenko@univ.kiev.ua

N. O. Stefans’ka
Affiliation: Department of Mathematical Analysis, Faculty for Mechanics and Mathematics, National Taras Shevchenko University, Academician Glushkov Avenue, 6, Kyiv 03127, Ukraine
Email: valentinasavych@mail.ru

Keywords: Stochastic measure, Fourier series for stochastic measure, Fourier–Haar series for stochastic measure, stochastic heat equation
Received by editor(s): December 7, 2016
Published electronically: October 5, 2018
Article copyright: © Copyright 2018 American Mathematical Society