Project OT10:
Model Reduction for Nonlinear ParameterDependent Eigenvalue Problems in Photonic Crystals
Duration: 
June 2017  Dec 2018  
Project leaders: 
V. Mehrmann, R. Altmann  
Department of Mathematics Technical University of Berlin Strasse des 17. Juni 136 10623 Berlin, Germany 

email:  
Tel: +49 30 314  25 736 (office)  
 21 264 (secretariat)  
email:  
Tel: +49 821 598  2184 (office)  
Responsible: 
M. Froidevaux  
Department of Mathematics, Technical University of Berlin, Strasse des 17. Juni 136, 10623 Berlin, Germany 

email:  
Tel: +49 30 314  79 177 (office)  
Internal cooperations:  M. Thomas (WIAS, →OT8)  
F. Schmidt (ZIB, →OT9) K. Schmidt (TU Darmstadt, →Concepts) 

External cooperations:  A. Międlar (University of Kansas)  
L. Grubišić (University of Zagreb) D. Kressner (EPF Lausanne) D. Peterseim (Augsburg University) S. Gugercin (Virginia Tech) C. Beattie (Virginia Tech) T. Fukaya (Hokkaido University) W.W. Lin (NCTU Taiwan) Y. Nakatsukasa (University of Oxford) 

Support: 
Einstein Center for Mathematics (ECMath)  
ECMath project website: 
Project OT10 
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Background
Photonic crystals are periodic materials that affect the propagation of electromagnetic waves. These materials occur in nature (e.g. on butterfly wings) and can also be designed and manufactured with certain properties affecting the propagation of electromagnetic waves in the visible spectrum, hence the name photonic crystals. The most interesting (and useful) property of such periodic structures is that, for certain geometric and material configurations, gaps in the bands of possibly propagating wavelengths can occur. These gaps charaterize intervals of wavelengths that cannot propagate in the periodic structure. Therefore, finding materials and geometries with especially wide bandgaps is an ongoing research effort.
Mathematically, finding such bandgaps for different configurations of materials and geometries can be modelled as a PDE eigenvalue problem with the frequency (or wavelength) of the electromagnetic field as the eigenvalue. These eigenvalue problems depend on various parameters and may be nonlinear in the eigenvalue. The parameters describing the material of the structure are typically nonlinear functions of the searched frequency. The configuration of the periodic geometry may also be modified and can be considered a parameter. Finally, through the mathematical treatment of the PDE eigenvalue problem another parameter, the quasimomentum, is introduced in order to reduce the problem from an infinite domain to a family of problems, parametrised by the quasimomentum, on a finite domain. These are more accurately solvable.
In order to solve the problem of finding a material and geometric structure with an especially wide bandgap, one needs to solve many of those nonlinear eigenvalue problems during each step of the optimisation process. Therefore, it is essential to have an efficient way of solving these eigenvalue problems. Building such an efficient solver is one aim of this research project. It is known that an efficient way of discretizing PDE eigenvalue problems on geometrically complicated domains is an adaptive Finite Element method (AFEM). To investigate the performance of AFEM for the described problems reliable and efficient error estimators for nonlinear parameter dependent eigenvalue problems are needed.
Solving the finite dimensional nonlinear problem resulting from the AFEM discretization in general cannot be done directly, as the systems are usually large, and thus produces another error to be considered in the error analysis. Another goal in this research project is therefore to equilibrate the errors and computational work between the discretization and approximation errors of the AFEM and the errors in the solution of the resulting finite dimensional nonlinear eigenvalue problems.
In the end, our goal is to develop an efficient solver for parameterdependent nonlinear eigenvalue problems arising in the search of photonic bandgaps. This solver should combine, in a computingtime optimal way, adaptive finite element methods (AFEM) for PDE eigenvalue problems, numerical methods for nonlinear eigenvalue problems, and lowdimensional approximations for a parameter space. Indeed, it is very challenging to build photonic crystals featuring a spectrum that can comply with the specific requirements of applications, since multiple parameters have to be adjusted very precisely and in accordance with one another. Therefore, fast simulations of the waves propagation inside a crystal for mutliple parameter values are essential to the optimization procedure. The free parameters needed for the design of photonic crystals describe, e. g., the geometry of the crystal or the electromagnetic properties of the material. In order to optimize the properties of the photonic crystals over the parameter set, we need to apply techniques from model order reduction. We plan to use approximations of the eigenfunctions, obtained by AFEM for several parameters in order to construct a reduced basis. These computations may be performed in parallel and, ideally, result in a set of eigenfunctions that contains good approximations of the eigenfunctions for all parameter values. We want to approximate the set of locallyexpressed eigenfunctions with a lowdimensional nonlocal basis. Moreover, the error introduced by the discretization of the parameter space should be included in the error balancing procedure.
back to topPublications from the current funding period (20172018)

R. Altmann, P. Henning, D. Peterseim
Quantitative Anderson localization of Schrödinger eigenstates under disorder potentials.
ArXiv Preprint 1803.09950, 2018. 
R. Altmann, M. Froidevaux
PDE Eigenvalue iterations with applications in twodimensional photonic crystals.
Preprint 052018, Institut für Mathematik, TU Berlin, 2018.
Publications from the previous funding period (20142017)

T.M. Huang, W.W. Lin, V. Mehrmann
A NewtonType Method with Nonequivalence Deflation for Nonlinear Eigenvalue Problems Arising in Photonic Crystal Modeling.
SIAM J. Sci. Comput. 38(2):B191B218, 2016. DOI:10.1137/151004823 
S. Giani, L. Grubišić, A. Międlar, J. S. Ovall
Robust estimates for hpadaptive approximations of nonselfadjoint eigenvalue problems.
Numerische Mathematik, 2015. Published online, DOI:10.1007/s0021101507523 
C. Conrads, V. Mehrmann, A. Międlar
Adaptive Numerical Solution of Eigenvalue Problems arising from Finite Element Models. AMLS vs. AFEM.
AMS Contemporary Mathematics, 658:197225, 2016. Published online, DOI: 10.1090/conm/658/13127