Equilibrium under Time-Inconsistency: A New Existence Theory by Vanishing Entropy Regularization
Zhenhua Wang, Xiang Yu, Jingjie Zhang, Zhou Zhou

TL;DR
This paper introduces a new method using vanishing entropy regularization to prove the existence of solutions to equilibrium equations in time-inconsistent stochastic control problems, overcoming previous open challenges.
Contribution
The authors develop a novel framework that establishes the existence of equilibrium solutions for the EHJB without requiring classical regularity assumptions, using PDE estimates and convergence analysis.
Findings
Established existence of classical solutions to the EEHJB via PDE estimates.
Proved convergence of regularized solutions to the original EHJB as entropy vanishes.
Confirmed the well-posedness of the EHJB and equilibria in time-inconsistent diffusion models.
Abstract
This paper develops a framework for establishing the existence of solutions to the equilibrium Hamilton-Jacobi-Bellman (EHJB) equation arising in time-inconsistent stochastic control problems. The time-inconsistency in our setting arises from the initial-time dependence such as the non-exponential discounting. The classical approach typically relates the existence of equilibrium to the classical solution of the EHJB, whose existence is still an open problem under general model assumptions. We resolve this challenge by building on a vanishing entropy regularization approach. Using fixed-point arguments, we first establish the existence of classical solutions to the exploratory equilibrium Hamilton-Jacobi-Bellman Equation (EEHJB) by deriving a series of delicate PDE estimates for the solution and its derivatives. Building on these estimates for the solution of the EEHJB and its…
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