Papers
Topics
Authors
Recent
Search
2000 character limit reached

On uniqueness of solutions to viscous HJB equations with a subquadratic nonlinearity in the gradient

Published 27 Jun 2019 in math.AP and math.OC | (1906.11733v1)

Abstract: Uniqueness of positive solutions to viscous Hamilton-Jacobi-Bellman (HJB) equations of the form $-\Delta u(x) + \frac{1}{\gamma} |D{u}(x)|\gamma = f(x) - \lambda$, with $f$ a coercive function and $\lambda$ a constant, in the subquadratic case, that is, $\gamma\in(1,2)$, appears to be an open problem. Barles and Meireles [Comm. Partial Differential Equations 41 (2016)] show uniqueness in the case that $f(x) \approx |x|\beta$ and $|D f(x)|\lessapprox |x|{(\beta-1)_+}$ for some $\beta>0$, essentially matching earlier results of Ichihara, who considered more general Hamiltonians but with better regularity for $f$. Without enforcing this assumption, to our knowledge, there are no results on uniqueness in the literature. In this short article, we show that the equation has a unique positive solution for any locally Lipschitz continuous, coercive $f$ which satisfies $|D f(x)| \le \kappa\bigl(1 +|f(x)|{2-\frac{1}{\gamma}}\bigr)$ for some positive constant $\kappa$. Since $2-\frac{1}{\gamma}>1$, this assumption imposes very mild restrictions on the growth of the potential $f$. We also show that this solution fully characterizes optimality for the associated ergodic problem. Our method involves the study of an infinite dimensional linear program for elliptic equations for measures, and is very different from earlier approaches. It also applies to the larger class of Hamiltonians studied by Ichihara, and we show that it is well suited to provide verification of optimality results for the associated ergodic control problems, even in a pathwise sense, and without resorting to the parabolic problem.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.