Abstract

 
 

References (11)



 


 



Parabolic Schemes for Quasi-Linear Parabolic and Hyperbolic PDEs Via Stochastic Calculus


Sebastien Darses


affiliation not provided to SSRN

Emmanuel Lepinette-Denis


CEREMADE, UMR CNRS 7534, Paris-Dauphine University.

April 12, 2012

Journal of Stochastic Analysis and Applications, Vol. 30, No. 1, 2012

Abstract:     
We consider two quasi-linear initial-value Cauchy problems on Rd: a parabolic system and an hyperbolic one. They both have a first order non-linearity of the form φ(t, x, u) · ∇u, a forcing term h(t, x, u) and an initial condition u0 ∈ L∞ (Rd ) ∩ C ∞ (Rd ), where φ (resp. h) is smooth and locally (resp. globally) Lipschitz in u uniformly in (t, x). We prove the existence of a unique global strong solution for the parabolic system. We show the existence of a unique local strong solution for the hyperbolic one and we give a lower bound regarding its blow up time. In both cases, we do not use weak solution theory but recursive parabolic schemes studied via a stochastic approach and a regularity result for sequences of parabolic operators. The result on the hyperbolic problem is performed by means of a non-classical vanishing viscosity method.

Number of Pages in PDF File: 29

Keywords: quasi-linear parabolic PDEs, hyperbolic systems, vanishing viscosity method, smooth solutions, stochastic calculus, Feynman-Kac formula, Girsanov’s theorem

Accepted Paper Series


Download This Paper

Date posted: April 13, 2012  

Suggested Citation

Darses, Sebastien and Lepinette-Denis, Emmanuel, Parabolic Schemes for Quasi-Linear Parabolic and Hyperbolic PDEs Via Stochastic Calculus (April 12, 2012). Journal of Stochastic Analysis and Applications, Vol. 30, No. 1, 2012 . Available at SSRN: http://ssrn.com/abstract=2038783

Contact Information

Sebastien Darses
affiliation not provided to SSRN ( email )
Emmanuel Lepinette-Denis (Contact Author)
CEREMADE, UMR CNRS 7534, Paris-Dauphine University. ( email )
Place du Marechal de Lattre de Tassigny
Paris Cedex 16, 75775
France
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 95
Downloads: 7
References:  11

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo2 in 0.672 seconds