Convergence of approximate solutions to an elliptic-parabolic equation without the structure condition - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Nonlinear Differential Equations and Applications Année : 2012

Convergence of approximate solutions to an elliptic-parabolic equation without the structure condition

Résumé

We study the Cauchy-Dirichlet problem for the elliptic-parabolic equation $$b(u)_t +\div F(u) - \Delta u=f$$ in a bounded domain. We do not assume the structure condition ''$b(z)=b(\hat z) \Rightarrow F(z)=F(\hat z)$''. Our main goal is to investigate the problem of continuous dependence of the solutions on the data of the problem and the question of convergence of discretization methods. As in the work of Ammar and Wittbold \cite{AmmarWittbold} where existence was established, monotonicity and penalization are the main tools of our study. In the case of a Lipschitz continuous flux $F$, we justify the uniqueness of $u$ (the uniqueness of $b(u)$ is well-known) and prove the continuous dependence in $L^1$ for the case of strongly convergent finite energy data. We also prove convergence of the $\varepsilon$-discretized solutions used in the semigroup approach to the problem; and we prove convergence of a monotone time-implicit finite volume scheme. In the case of a merely continuous flux $F$, we show that the problem admits a maximal and a minimal solution.
Fichier principal
Vignette du fichier
Note-sansStrCond-Preprint.pdf (427.62 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00608521 , version 1 (13-07-2011)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Boris Andreianov, Petra Wittbold. Convergence of approximate solutions to an elliptic-parabolic equation without the structure condition. Nonlinear Differential Equations and Applications, 2012, 19 (6), pp. 695-717. ⟨10.1007/s00030-011-0148-8⟩. ⟨hal-00608521⟩
240 Consultations
118 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More