Uniqueness in Law of the stochastic convolution process driven by Lévy noise
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Uniqueness in Law of the stochastic convolution process driven by Lévy noise |
2. | Creator | Author's name, affiliation, country | Zdzisław Brzeźniak; University of York; United Kingdom |
2. | Creator | Author's name, affiliation, country | Erika Hausenblas; Montanuniversity Leoben; Austria |
2. | Creator | Author's name, affiliation, country | Elżbieta Motyl; University of Łódź; Poland |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Poisson random measure, stochastic convolution process, uniqueness in law, stochastic partial differential equations |
3. | Subject | Subject classification | Primary 60H15; Secondary 60G57. |
4. | Description | Abstract | We will give a proof of the following fact. If $\mathfrak{A}_1$ and $\mathfrak{A}_2$, $\tilde \eta_1$ and $\tilde \eta_2$, $\xi_1$ and $\xi_2$ are two examples of filtered probability spaces, time homogeneous compensated Poisson random measures, and progressively measurable Banach space valued processes such that the laws on $L^p([0,T],{L}^{p}(Z,\nu ;E))\times \mathcal{M}_I([0,T]\times Z)$ of the pairs $(\xi_1,\eta_1)$ and $(\xi_2,\eta_2)$, are equal, and $u_1$ and $u_2$ are the corresponding stochastic convolution processes, then the laws on $ (\mathbb{D}([0,T];X)\cap L^p([0,T];B)) \times L^p([0,T],{L}^{p}(Z,\nu ;E))\times \mathcal{M}_I([0,T]\times Z) $, where $B \subset E \subset X$, of the triples $(u_i,\xi_i,\eta_i)$, $i=1,2$, are equal as well. By $\mathbb{D}([0,T];X)$ we denote the Skorokhod space of $X$-valued processes. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Austrian Scinece Foundations |
7. | Date | (YYYY-MM-DD) | 2013-05-21 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/2807 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v18-2807 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 18 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|