Discretization of linear problems in banach spaces: Residual minimization, nonlinear petrov-galerkin, and monotone mixed methods

Muga, Ignacio; Van Der Zee, Kristoffer G.

Abstract

This work presents a comprehensive discretization theory for abstract linear operator equations in Banach spaces. The fundamental starting point of the theory is the idea of residual minimization in dual norms and its inexact version using discrete dual norms. It is shown that this development, in the case of strictly convex reflexive Banach spaces with strictly convex dual, gives rise to a class of nonlinear Petrov-Galerkin methods and, equivalently, abstract mixed methods with monotone nonlinearity. Under the Fortin condition, we prove discrete stability and quasioptimal convergence of the abstract inexact method, with constants depending on the geometry of the underlying Banach spaces. The theory generalizes and extends the classical Petrov-Galerkin method as well as existing residual-minimization approaches, such as the discontinuous Petrov- Galerkin method.

Citation

Muga, I., & Van Der Zee, K. G. (2020). Discretization of linear problems in banach spaces: Residual minimization, nonlinear petrov-galerkin, and monotone mixed methods. SIAM Journal on Numerical Analysis, 58(6), 3406-3426. https://doi.org/10.1137/20M1324338

• Journal Article Type: Article
• Acceptance Date: Sep 14, 2020
• Online Publication Date: Nov 24, 2020
• Publication Date: Nov 24, 2020
• Deposit Date: Sep 18, 2020
• Publicly Available Date: Nov 24, 2020
• Journal: SIAM Journal on Numerical Analysis
• Print ISSN: 0036-1429
• Electronic ISSN: 1095-7170
• Publisher: Society for Industrial and Applied Mathematics
• Peer Reviewed: Peer Reviewed
• Volume: 58
• Issue: 6
• Pages: 3406-3426
• DOI: https://doi.org/10.1137/20M1324338
• Keywords: Operators in Banach spaces, Residual minimization, Petrov–Galerkin discretization, Error analysis, Quasi-optimality, Duality mapping, Best approximation, Geometric constants
• Public URL: https://nottingham-repository.worktribe.com/output/2463148
• Publisher URL: https://epubs.siam.org/doi/10.1137/20M1324338