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In this paper, we propose and study the stochastic path-dependent Hamilton-Jacobi-Bellman (SPHJB) equation that arises naturally from the optimal stochastic control problem of stochastic differential equations with path-dependence and…

Probability · Mathematics 2020-06-24 Jinniao Qiu

In this article, we study the large time behavior of solutions of first-order Hamilton-Jacobi Equations, set in a bounded domain with nonlinear Neumann boundary conditions, including the case of dynamical boundary conditions. We establish…

Analysis of PDEs · Mathematics 2015-05-30 Guy Barles , Hiroyoshi Mitake , Hitoshi Ishii

We consider the simplest example of a time-dependent first order Hamilton-Jacobi equation, in one space dimension and with a bounded and Lipschitz continuous Hamiltonian which only depends on the spatial derivative. We show that if the…

Analysis of PDEs · Mathematics 2020-06-29 M. Bertsch , F. Smarrazzo , A. Terracina , A. Tesei

We propose a fully practical numerical scheme for the simulation of the stochastic total variation flow (STFV). The approximation is based on a stable time-implicit finite element space-time approximation of a regularized STVF equation. The…

Numerical Analysis · Mathematics 2022-05-05 Ľubomír Baňas , Martin Ondreját

The article studies the reiterated homogenization of linear elliptic variational inequalities arising in problems with unilateral constrains. We assume that the coefficients of the equations satisfy and abstract hypothesis covering on each…

Mathematical Physics · Physics 2018-11-16 Hermann Douanla , Cyrille Kenne

Following the random approach of Mitake, Siconolfi,Tran and Yamada, we define a Lax--Oleinik formula adapted to evolutive weakly coupled systems of Hamilton--Jacobi equations. It is reminiscent of the corresponding scalar formula, with the…

Analysis of PDEs · Mathematics 2016-08-08 Andrea Davini , Antonio Siconolfi , Maxime Zavidovique

In this paper we use the theory of viscosity solutions for Hamilton-Jacobi equations to study propagation phenomena in kinetic equations. We perform the hydrodynamic limit of some kinetic models thanks to an adapted WKB ansatz. Our models…

Analysis of PDEs · Mathematics 2014-06-10 Emeric Bouin

CASL-HJX is a computational framework designed for solving deterministic and stochastic Hamilton-Jacobi equations in two spatial dimensions. It provides a flexible and efficient approach to modeling front propagation problems, optimal…

Optimization and Control · Mathematics 2025-05-21 Faranak Rajabi , Jacob Fingerman , Andrew Wang , Jeff Moehlis , Frederic Gibou

We consider a time discretization of incompressible Navier-Stokes equations with spatial periodic boundary conditions in the vorticity-velocity formulation. The approximation is based on freezing the velocity on time subintervals resulting…

Numerical Analysis · Mathematics 2020-10-12 G. N. Milstein , M. V. Tretyakov

We introduce a method for approximating viscosity solutions of stationary degenerate elliptic Hamilton--Jacobi--Bellman equations on bounded domains arising in stochastic exit-time control. Viscosity enforcement is formulated as a min--max…

Optimization and Control · Mathematics 2026-05-18 Alen E. Golpashin , Gokul Puthumanaillam , Melkior Ornik , Bruce A. Conway

We propose a supervised learning scheme for the first order Hamilton--Jacobi PDEs in high dimensions. The scheme is designed by using the geometric structure of Wasserstein Hamiltonian flows via a density coupling strategy. It is…

Numerical Analysis · Mathematics 2025-11-05 Jianbo Cui , Shu Liu , Haomin Zhou

In this paper, a class of high order numerical schemes is proposed for solving Hamilton-Jacobi (H-J) equations. This work is regarded as an extension of our previous work for nonlinear degenerate parabolic equations, see Christlieb et al.…

Numerical Analysis · Mathematics 2019-01-30 Andrew Christlieb , Wei Guo , Yan Jiang

In this note, we characterize the solution of a system of elliptic integro-differential equations describing a phe-notypically structured population subject to mutation, selection and migration. Generalizing an approach based on…

Analysis of PDEs · Mathematics 2018-05-25 Sepideh Mirrahimi , Sylvain Gandon

We investigate the density large deviation function for a multidimensional conservation law in the vanishing viscosity limit, when the probability concentrates on weak solutions of a hyperbolic conservation law conservation law. When the…

Statistical Mechanics · Physics 2018-03-14 Julien Barré , Cedric Bernardin , Raphaël Chetrite

In this article, the notion of viscosity solution is introduced for the path-dependent Hamilton-Jacobi-Bellman (PHJB) equations associated with the optimal control problems for path-dependent stochastic differential equations. We identify…

Optimization and Control · Mathematics 2020-04-07 Jianjun Zhou

In this article, we have developed a higher order compact numerical method for variable coefficient parabolic problems with mixed derivatives. The finite difference scheme, presented here for two-dimensional domains, is based on fourth…

Numerical Analysis · Mathematics 2013-12-19 Shuvam Sen

We use the adjoint methods to study the static Hamilton-Jacobi equations and to prove the speed of convergence for those equations. The main new ideas are to introduce adjoint equations corresponding to the formal linearizations of…

Analysis of PDEs · Mathematics 2012-01-04 Hung Vinh Tran

This paper develops a comparison theorem for viscosity solutions of a new class of Hamilton-Jacobi-Bellman (HJB) equations, which is used to solve the separated problem governed by the K-S equation in the Wasserstein space. A distinctive…

Analysis of PDEs · Mathematics 2025-03-05 Hexiang Wan , Jie Xiong

This paper is devoted to the stochastic optimal control problem of ordinary differential equations allowing for both path-dependence and measurable randomness. As opposed to the deterministic path-dependent cases, the value function turns…

Optimization and Control · Mathematics 2021-10-25 Jinniao Qiu

Existing deterministic variational inference approaches for diffusion processes use simple proposals and target the marginal density of the posterior. We construct the variational process as a controlled version of the prior process and…

Machine Learning · Computer Science 2021-03-02 Christian Wildner , Heinz Koeppl