| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 25 | |
| Number of page(s) | 41 | |
| DOI | https://doi.org/10.1051/cocv/2026009 | |
| Published online | 31 March 2026 | |
On the equilibrium solutions of electro-energy–reaction–diffusion systems
1
Weierstraß-Institut für Angewandte Analysis und Stochastik, Anton-Wilhelm-Amo-Straße 39, 10117 Berlin, Germany
2
Universität Graz, Institut für Mathematik und Wissenschaftliches Rechnen, Heinrichstraße 36, 8010 Graz, Austria
3
Humboldt-Universität zu Berlin, Institut für Mathematik, Rudower Chaussee 25, 12489 Berlin, Germany
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
30
January
2025
Accepted:
1
February
2026
Abstract
Electro-energy–reaction–diffusion systems are thermodynamically consistent continuum models for reaction–diffusion processes that account for temperature and electrostatic effects in a way that total charge and energy are conserved. The question of the long-time asymptotic behavior of electro-energy–reaction–diffusion systems motivates the characterization of their equilibrium solutions, which leads to a maximization problem of the entropy on the manifold of states with fixed values for the linear charge and the nonlinear convex energy functional. As the main result, we establish the existence, uniqueness, and regularity of solutions to this constrained optimization problem. We give two conceptually different proofs, which are related to different perspectives on the constrained maximization problem. The first one is based on the method of Lagrange multipliers, while the second one employs the direct method of the calculus of variations.
Mathematics Subject Classification: 35Q79 / 49S05 / 78A30 / 49K20 / 49J45
Key words: Reaction–diffusion systems / temperature / electrostatic potential / critical points under convex constraints / Legendre transform / Lagrange multiplier / direct method
© The authors. Published by EDP Sciences, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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