White Noise Solution for Nonlinear Stochastic Systems

Autori

Filippo Cacace, Francesco Conte, Alfredo Germani and Giovanni Palombo

Abstract

This paper proposes an alternative theory to the Ito calculus due to Balakrishnan: the white noise theory in Hilbert spaces. The proposed approach extends Blakrishnan’s theory to a new class of nonlinear systems. The method uses the theory of dierential geometry to devise a suitable map which transforms the starting system in an equivalent one; then the techniques of white noise theory is applied to this equivalent system. Finally, by means of the inverse map, the existence of a white noise solution for the starting system is proved.

Sessione

TM1b