Comparison of Viscosity Solutions of Semi-linear Path-Dependent PDEs
arXiv:1410.7281
Abstract
This paper provides a probabilistic proof of the comparison result for viscosity solutions of path-dependent semilinear PDEs. We consider the notion of viscosity solutions introduced in \cite{EKTZ} which considers as test functions all those smooth processes which are tangent in mean. When restricted to the Markovian case, this definition induces a larger set of test functions, and reduces to the notion of stochastic viscosity solutions analyzed in \cite{BayraktarSirbu1,BayraktarSirbu2}. Our main result takes advantage of this enlargement of the test functions, and provides an easier proof of comparison. This is most remarkable in the context of the linear path-dependent heat equation. As a key ingredient for our methodology, we introduce a notion of punctual differentiation, similar to the corresponding concept in the standard viscosity solutions \cite{CaffarelliCabre}, and we prove that semimartingales are almost everywhere punctually differentiable. This smoothness result can be viewed as the counterpart of the Aleksandroff smoothness result for convex functions. A similar comparison result was established earlier in \cite{EKTZ}. The result of this paper is more general and, more importantly, the arguments that we develop do not rely on any representation of the solution.
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Cited by in corpus (8)
- Strong-viscosity Solutions: Semilinear Parabolic PDEs and Path-dependent PDEs
- Viscosity Solutions of Fully Nonlinear Elliptic Path Dependent PDEs
- Crandall-Lions Viscosity Solutions for Path-Dependent PDEs: The Case of Heat Equation
- On the convergence of monotone schemes for path-dependent PDE
- Comparison of viscosity solutions of fully nonlinear degenerate parabolic Path-dependent PDEs
- Perron's method for viscosity solutions of semilinear path dependent PDEs
- Viscosity solutions of path-dependent PDEs with randomized time
- Pseudo Markovian Viscosity Solutions of Fully Nonlinear Degenerate PPDEs