Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionApplied Mathematics and Computational Science Program
Date
2014-09-11Online Publication Date
2014-09-11Print Publication Date
2015-12Permanent link to this record
http://hdl.handle.net/10754/621407
Metadata
Show full item recordAbstract
This work provides entropy decay estimates for classes of nonlinear reaction–diffusion systems modeling reversible chemical reactions under the detailed-balance condition. We obtain explicit bounds for the exponential decay of the relative logarithmic entropy, being based essentially on the application of the Log-Sobolev estimate and a convexification argument only, making it quite robust to model variations. An important feature of our analysis is the interaction of the two different dissipative mechanisms: pure diffusion, forcing the system asymptotically to the homogeneous state, and pure reaction, forcing the solution to the (possibly inhomogeneous) chemical equilibrium. Only the interaction of both mechanisms provides the convergence to the homogeneous equilibrium. Moreover, we introduce two generalizations of the main result: (i) vanishing diffusion constants in some chemical components and (ii) usage of different entropy functionals. We provide a few examples to highlight the usability of our approach and shortly discuss possible further applications and open questions.Citation
Mielke A, Haskovec J, Markowich PA (2014) On Uniform Decay of the Entropy for Reaction–Diffusion Systems. Journal of Dynamics and Differential Equations 27: 897–928. Available: http://dx.doi.org/10.1007/s10884-014-9394-x.Sponsors
The authors are grateful for helpful comments and stimulating discussions with Klemens Fellner, Annegret Glitzky and Konrad Groger. The research was partially supported by DFG under SFB910 Subproject A5 and by the European Research Council under ERC-2010-AdG 267802. Partially supported by DFG under SFB910 Subproject A5 and by the European Research Council under ERC-2010-AdG 267802.Publisher
Springer Natureae974a485f413a2113503eed53cd6c53
10.1007/s10884-014-9394-x