Convergent finite difference methods for one-dimensional fully nonlinear second order partial differential equations
Xiaobing Feng, Chiu-Yen Kao, and Thomas Lewis

TL;DR
This paper introduces a new framework for designing convergent finite difference methods for 1-D fully nonlinear second order PDEs, extending concepts from first order equations and validating with numerical results.
Contribution
It develops a novel framework with new concepts of numerical operator and numerical moment for second order PDEs, enabling the design of monotone, consistent, and stable finite difference methods.
Findings
Proposes two classes of finite difference methods: Lax-Friedrichs-like and Godunov-like.
Proves stability and convergence of the proposed methods.
Numerical experiments confirm the theoretical properties and effectiveness.
Abstract
This paper develops a new framework for designing and analyzing convergent finite difference methods for approximating both classical and viscosity solutions of second order fully nonlinear partial differential equations (PDEs) in 1-D. The goal of the paper is to extend the successful framework of monotone, consistent, and stable finite difference methods for first order fully nonlinear Hamilton-Jacobi equations to second order fully nonlinear PDEs such as Monge-Amp\`ere and Bellman type equations. New concepts of consistency, generalized monotonicity, and stability are introduced; among them, the generalized monotonicity and consistency, which are easier to verify in practice, are natural extensions of the corresponding notions of finite difference methods for first order fully nonlinear Hamilton-Jacobi equations. The main component of the proposed framework is the concept of…
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