NANAAPSep 18, 2014

Estimates of the distance to the exact solution of evolutionary reaction-diffusion problems based on local Poincare type inequalities

arXiv:1407.6875h-index: 26
Originality Synthesis-oriented
AI Analysis

Provides a theoretical framework for error estimation in evolutionary reaction-diffusion problems, but the contribution is incremental as it extends existing techniques to a specific class of problems.

The paper derives two-sided bounds for the distance between the exact solution of evolutionary reaction-diffusion problems with mixed boundary conditions and any admissible function, using local Poincaré type inequalities and domain decomposition. The bounds are proven equivalent to the energy norm of the error.

The goal of the paper is to derive two-sided bounds of the distance between the exact solution of the evolutionary reaction-diffusion problem with mixed Dirichlet--Robin boundary conditions and any function in the admissible energy space. The derivation is based upon transformation of the integral identity, which defines the generalized solution, and exploits classical Poincare inequalities and Poincare type inequalities for functions with zero mean boundary traces. The corresponding constants are estimated due to Payne and Weinberger, 1960, and Nazarov and Repin, 2013. To handle problems with complex domains and mixed boundary conditions, domain decomposition is used. The corresponding bounds of the distance to the exact solution, contain only constants in local Poincare type inequalities associated with subdomains. Moreover, it is proved that the bounds are equivalent to the energy norm of the error.

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