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A rate of convergence for monotone finite difference approximations to fully nonlinear, uniformly elliptic PDEs. (English) Zbl 1140.65075

The authors consider the following uniformly elliptic partial differential equations (PDEs) of the form
\[ \begin{aligned} F(D^{2} u ) = f & \quad\text{in }U,\\ u = g & \quad \text{on }\partial U,\\ \end{aligned} \]
where \(U\) is an open subset of \(R^{n}\) with regular boundary, \(F\) is uniformly elliptic with ellipticity constants \(\lambda\) and \(\Lambda\) such that \(\lambda \leq \Lambda\), \(f\in C^{0,1}(\overline{U})\), and \(g\in C^{1,\eta'}(\partial U)\) for some \(\eta' \in (0,1]\).
The authors obtain the algebraic rate of convergence for monotone and consistent finite difference approximations to Lipschitz-continuous viscosity solutions of the stated fully nonlinear boundary value problem. The key point of the analysis is their regularity result for Lipschitz-continuous viscosity solutions. The analysis asserts that outside sets of an arbitrary small measure, Lipschitz-continuous solutions have pointwise second-order expansions with an error that is controlled by the size of the exceptional set and the quadratic expansion or that, at a given scale, solutions have uniform polynomial approximations.
The authors’ result can be used also in other contexts. For example, it is used by L. Caffarelli and P. E. Souganidis [Rate of convergence for stochastic homogenization of uniformly elliptic partial differential equations, preprint] to establish a rate of convergence for the homogenization of fully nonlinear, uniformly elliptic, second-order PDEs in random environments.

MSC:

65N12 Stability and convergence of numerical methods for boundary value problems involving PDEs
65N06 Finite difference methods for boundary value problems involving PDEs
35J65 Nonlinear boundary value problems for linear elliptic equations
65N15 Error bounds for boundary value problems involving PDEs
35B27 Homogenization in context of PDEs; PDEs in media with periodic structure
Full Text: DOI

References:

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