Characterization Theorems for Generalized Functionals of Discrete-Time Normal Martingale. (19th April 2015)
- Record Type:
- Journal Article
- Title:
- Characterization Theorems for Generalized Functionals of Discrete-Time Normal Martingale. (19th April 2015)
- Main Title:
- Characterization Theorems for Generalized Functionals of Discrete-Time Normal Martingale
- Authors:
- Wang, Caishi
Chen, Jinshu - Other Names:
- Chung Jaeyoung Academic Editor.
- Abstract:
- Abstract : We aim at characterizing generalized functionals of discrete-time normal martingales. LetM = ( M n ) n ∈ N be a discrete-time normal martingale that has the chaotic representation property. We first construct testing and generalized functionals ofM with an appropriate orthonormal basis forM 's square integrable functionals. Then we introduce a transform, called the Fock transform, for these functionals and characterize them via the transform. Several characterization theorems are established. Finally we give some applications of these characterization theorems. Our results show that generalized functionals of discrete-time normal martingales can be characterized only by growth condition, which contrasts sharply with the case of some continuous-time processes (e.g., Brownian motion), where both growth condition and analyticity condition are needed to characterize generalized functionals of those continuous-time processes.
- Is Part Of:
- Journal of function spaces. Volume 2015(2015)
- Journal:
- Journal of function spaces
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-04-19
- Subjects:
- Function spaces -- Periodicals
515.7305 - Journal URLs:
- https://www.hindawi.com/journals/jfs/ ↗
- DOI:
- 10.1155/2015/714745 ↗
- Languages:
- English
- ISSNs:
- 2314-8896
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10837.xml