Weak formulations of the nonlinear Poisson-Boltzmann equation in biomolecular electrostatics

被引:2
作者
Iglesias, Jose A. [1 ]
Nakov, Svetoslav [2 ]
机构
[1] Austrian Acad Sci, Johann Radon Inst Computat & Appl Math RICAM, Altenbergerstr 69, A-4040 Linz, Austria
[2] Johannes Kepler Univ Linz, Inst Theoret Phys, Altenbergerstr 69, A-4040 Linz, Austria
基金
奥地利科学基金会;
关键词
Poisson-Boltzmann equation; Semilinear elliptic equations; Equations with measure data; Existence and uniqueness; Weak formulation; No sign condition; RIGHT-HAND SIDE; ELLIPTIC-EQUATIONS; NATURAL GROWTH; EXISTENCE; PROPERTY; PACKING; MODELS; TERMS;
D O I
10.1016/j.jmaa.2022.126065
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider the nonlinear Poisson-Boltzmann equation in the context of electrostatic models for a biological macromolecule, embedded in a bounded domain containing a solution of an arbitrary number of ionic species which is not necessarily charge neutral. The resulting semilinear elliptic equation combines several difficulties: exponential growth and lack of sign preservation in the nonlinearity accounting for ion mobility, measure data arising from point charges inside the molecule, and discontinuous permittivities across the molecule boundary. Exploiting the modeling assumption that the point sources and the nonlinearity are active on disjoint parts of the domain, one can use a linear decomposition of the potential into regular and singular components. A variational argument can be used for the regular part, but the unbounded nonlinearity makes the corresponding functional not differentiable in Sobolev spaces. By proving boundedness of minimizers, these are related to standard H-1 weak formulations for the regular component and in the framework of Boccardo and Gallouet for the full potential. Finally, a result of uniqueness of this type of weak solutions for more general semilinear problems with measure data validates the strategy, since the different decompositions and test spaces considered must then lead to the same solution. (C)& nbsp;2022 The Authors. Published by Elsevier Inc.
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页数:38
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