Note on Viscosity Solution of Path-Dependent PDE and G-Martingales

By Shige Peng. 2011

68 citations recorded by the source corpus.

In the 2nd version of this note we introduce the notion of viscosity solution for a type of fully nonlinear parabolic path-dependent partial differential equations (P-PDE). We then prove the comparison theorem (or maximum principle) of this new type of equation which is the key property of this framework. To overcome the well-known difficulty of non-compactness of the space of paths for the maximization, we have introduced a new approach, called left frozen maximization approach which permits us to obtain the comparison principle for smooth as well as viscosity solutions of path-dependent PDE. A solution of a backward stochastic differential equation and a G-martingale under a G-expectation are typical examples of such type of solutions of P-PDE. The maximum principle for viscosity solutions of classical PDE, called state dependent PDE, is a special case.

Subfields: Finance, Management Science and Operations Research, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/d24112b14dd0d6bacfd9b8c0daf8e06459c8b330

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In Finance

  1. Falei Wang
  2. Shige Peng
  3. Jianfeng Zhang
  4. Li-Xin Zhang
  5. Marcel Nutz
  6. Yongsheng Song
  7. Mingshang Hu
  8. Nizar Touzi

In Management Science and Operations Research

  1. Falei Wang
  2. Shige Peng
  3. Li-Xin Zhang
  4. Marcel Nutz
  5. Mingshang Hu
  6. Yongsheng Song
  7. Jianfeng Zhang
  8. Nizar Touzi

In Numerical Analysis

  1. Falei Wang
  2. Shige Peng

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