A white noise approach to stochastic partial differential equations driven by the fractional Lévy noise

Autor: Xuebin Lü, Wanyang Dai
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Advances in Difference Equations, Vol 2018, Iss 1, Pp 1-16 (2018)
Druh dokumentu: article
ISSN: 1687-1847
DOI: 10.1186/s13662-018-1861-y
Popis: Abstract In this paper, based on the white noise theory for d-parameter Lévy random fields given by (Holden et al. in Stochastic Partial Differential Equations: A modeling, white noise functional approach, 2010), we develop a white noise frame for anisotropic fractional Lévy random fields to solve the stochastic Poisson equation and the stochastic Schrödinger equation driven by the d-parameter fractional Lévy noise. The solutions for the two kinds of equations are all strong solutions given explicitly in the Lévy–Hida stochastic distribution space.
Databáze: Directory of Open Access Journals
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