2017
DOI: 10.1090/tpms/1015
|View full text |Cite
|
Sign up to set email alerts
|

Fourier transform of general stochastic measures

Abstract: The Fourier transform is defined for general stochastic measures in R d . The inversion theorem for this transform is proved and a connection to the convergence of stochastic integrals is established. An example of applications of this result is considered for the convergence of solutions of the stochastic heat equation.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 6 publications
0
2
0
Order By: Relevance
“…Also, in some cases the rate of convergence in (15) and (31) may be estimated. By (18) and (32), we need to estimate η δj andη δj respectively.…”
Section: Examplementioning
confidence: 99%
See 1 more Smart Citation
“…Also, in some cases the rate of convergence in (15) and (31) may be estimated. By (18) and (32), we need to estimate η δj andη δj respectively.…”
Section: Examplementioning
confidence: 99%
“…Papers [15,17] contain examples of applying Fourier series of stochastic measures to the convergence of solutions of the stochastic heat equation. A similar application of the Fourier transform is given in [18]. Continuous dependence of solutions of wave equation upon the data was studied in [1,2].…”
Section: Introductionmentioning
confidence: 99%