scholarly journals The Segal–Bargmann transform for Lévy white noise functionals associated with non-integrable Lévy processes

2008 ◽  
Vol 255 (3) ◽  
pp. 657-680 ◽  
Author(s):  
Hsin-Hung Shih
2006 ◽  
Vol 06 (04) ◽  
pp. 473-485 ◽  
Author(s):  
ZHI YUAN HUANG ◽  
PEI YAN LI

In this paper, with a simple condition on Lévy measure, we construct the (tempered) generalized fractional Lévy processes (GFLP) as Lévy white noise functionals and investigate their distribution and sample properties through this white noise approach. We also give some sufficient conditions under which the usual fractional Lévy processes (FLP) are well defined.


2017 ◽  
Vol 45 (6B) ◽  
pp. 4389-4418 ◽  
Author(s):  
Robert C. Dalang ◽  
Thomas Humeau

2004 ◽  
Vol 206 (1) ◽  
pp. 109-148 ◽  
Author(s):  
Giulia Di Nunno ◽  
Bernt Øksendal ◽  
Frank Proske

2004 ◽  
Vol 211 (1) ◽  
pp. 1-70 ◽  
Author(s):  
Yuh-Jia Lee ◽  
Hsin-Hung Shih

2006 ◽  
Vol 98 (2) ◽  
pp. 237 ◽  
Author(s):  
Arne Løkka ◽  
Frank Norbert Proske

We develop a white noise calculus for pure jump Lévy processes on the Poisson space. This theory covers the treatment of Lévy processes of unbounded variation. The starting point of the theory is the construction of a distribution space. This space has many of the same nice properties as the classical Schwartz space, but is modified in a certain way in order to be more suitable for pure jump Lévy processes. We apply Minlos's theorem to this space and obtain a white noise measure which satisfies the first condition of analyticity, and which is non-degenerate. Furthermore, we obtain generalized Charlier polynomials for all Lévy measures. We introduce Kondratiev test function and distribution spaces, the $\mathcal{S}$-transform and the Wick product. We proceed by using a transfer principle on Poisson spaces to establish a differential calculus.


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