Skip to Main Content
Remote Access Theory of Probability and Mathematical Statistics

Theory of Probability and Mathematical Statistics

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

   
 
 

 

Approximation of the solution to the parabolic equation driven by stochastic measure


Authors: B. I. Manikin and V. M. Radchenko
Journal: Theor. Probability and Math. Statist. 102 (2020), 145-156
MSC (2020): Primary 60H15; Secondary 60G57, 60H05
DOI: https://doi.org/10.1090/tpms/1131
Published electronically: March 29, 2021
Full-text PDF

Abstract | References | Similar Articles | Additional Information

Abstract: The one-dimensional parabolic equation driven by general stochastic measure $\mu$ is considered. For $\mu$ we assume only $\sigma$-additivity in probability, coefficients of the parabolic operator of the equation do not depend on space variable. It is proved that the convergence of stochastic integrators implies the convergence of the respective solutions.


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

References

Similar Articles

Retrieve articles in Theory of Probability and Mathematical Statistics with MSC (2020): 60H15, 60G57, 60H05

Retrieve articles in all journals with MSC (2020): 60H15, 60G57, 60H05


Additional Information

B. I. Manikin
Affiliation: Department of Mathematical Analysis, Taras Shevchenko National University of Kyiv, Kyiv 01601, Ukraine
Email: bmanikin@gmail.com

V. M. Radchenko
Affiliation: Department of Mathematical Analysis, Taras Shevchenko National University of Kyiv, Kyiv 01601, Ukraine
Email: vradchenko@univ.kiev.ua

Keywords: Stochastic measure, stochastic parabolic equation, mild solution.
Received by editor(s): November 29, 2019
Published electronically: March 29, 2021
Article copyright: © Copyright 2020 Taras Shevchenko National University of Kyiv