We characterize through their action on stochastic exponentials the class of white noise operators which are derivations with respect to both the point-wise and Wick products. We define the class of second order differential operators and second order Wick differential operators and we characterize the white noise operators belonging to both classes. We find that the intersection of these two classes, in the first and second order cases, is identified by a skewness condition on the coefficients of the differential operator. Our technique relies on simple algebraic properties of commutators and on the Gaussian structure of our white noise space. Our approach is suitable to study differential operators of any order

Barhoumi, A., Lanconelli, A. (2013). Characterization Theorems for Differential Operators on White Noise Spaces. COMMUNICATIONS ON STOCHASTIC ANALYSIS, 7(1), 1-15 [10.31390/cosa.7.1.01].

Characterization Theorems for Differential Operators on White Noise Spaces

Lanconelli A
Investigation
2013

Abstract

We characterize through their action on stochastic exponentials the class of white noise operators which are derivations with respect to both the point-wise and Wick products. We define the class of second order differential operators and second order Wick differential operators and we characterize the white noise operators belonging to both classes. We find that the intersection of these two classes, in the first and second order cases, is identified by a skewness condition on the coefficients of the differential operator. Our technique relies on simple algebraic properties of commutators and on the Gaussian structure of our white noise space. Our approach is suitable to study differential operators of any order
2013
Barhoumi, A., Lanconelli, A. (2013). Characterization Theorems for Differential Operators on White Noise Spaces. COMMUNICATIONS ON STOCHASTIC ANALYSIS, 7(1), 1-15 [10.31390/cosa.7.1.01].
Barhoumi, A; Lanconelli, A
File in questo prodotto:
File Dimensione Formato  
White noise operators printed version.pdf

accesso riservato

Tipo: Versione (PDF) editoriale / Version Of Record
Licenza: Licenza per accesso riservato
Dimensione 150.01 kB
Formato Adobe PDF
150.01 kB Adobe PDF   Visualizza/Apri   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/662605
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact