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Classical solution of path-dependent mean-field semilinear PDEs

Shanjian Tang, Huilin Zhang

Abstract

The paper concerns classical solution of path-dependent partial differential equations (PPDEs) with coefficients depending on both variables of path and path-valued measure, which are crucial to understanding large-scale mean-field interacting systems in a non-Markovian setting. We construct classical solutions of the PPDEs via solution of the forward and backward stochastic differential equations. To accommodate the intricacies introduced by the appearance of the path in the coefficients, we develop a novel technique known as the ``parameter frozen'' approach to the PPDEs.

Classical solution of path-dependent mean-field semilinear PDEs

Abstract

The paper concerns classical solution of path-dependent partial differential equations (PPDEs) with coefficients depending on both variables of path and path-valued measure, which are crucial to understanding large-scale mean-field interacting systems in a non-Markovian setting. We construct classical solutions of the PPDEs via solution of the forward and backward stochastic differential equations. To accommodate the intricacies introduced by the appearance of the path in the coefficients, we develop a novel technique known as the ``parameter frozen'' approach to the PPDEs.

Paper Structure

This paper contains 16 sections, 30 theorems, 283 equations.

Key Result

Lemma 2.5

Suppose that $f:[0,T] \times \mathbb{D}_{T,d} \mapsto \mathbb{R}$ is strongly vertically differentiable, and uniformly Lipschitz continuous in $\omega:$ Then we have $|\partial_{\omega_\tau} f(t,\omega)| \le C$ for any $(t,\omega)\in [0,T] \times \mathbb{D}_{T,d}$ and $\tau\le t.$

Theorems & Definitions (73)

  • Definition 2.1
  • Remark 2.2
  • Example 2.3
  • Remark 2.4
  • Lemma 2.5
  • Remark 2.6
  • Remark 2.7
  • Lemma 2.8
  • Remark 2.9
  • Definition 2.10
  • ...and 63 more