Title
Optimal Shape Design by Partial Spectral Data.
Abstract
In this paper, we are concerned with a shape design problem, in which our target is to design, up to rigid transformations and scaling, the shape of an object given either its polarization tensor at multiple contrasts or the partial eigenvalues of its Neumann-Poincare operator, which are known as the Fredholm eigenvalues. We begin by proposing to recover the eigenvalues of the Neumann-Poincare operator from the polarization tensor by means of the holomorphic functional calculus. Then we develop a regularized Gauss-Newton optimization method for the shape reconstruction process. We present numerical results to demonstrate the effectiveness of the proposed methods and to illustrate important properties of the Fredholm eigenvalues and their associated eigenfunctions. Our results are expected to have important applications in the design of plasmon resonances in nanoparticles as well as in the multifrequency or pulsed imaging of small anomalies.
Year
DOI
Venue
2015
10.1137/130942498
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Keywords
Field
DocType
optimal shape design,plasmonics,polarization tensor,Fredholm eigenvalues,Neumann-Poincare operator,pulsed electrical capacitance tomography
Neumann–Poincaré operator,Mathematical optimization,Holomorphic functional calculus,Eigenfunction,Tensor,Fredholm integral equation,Mathematical analysis,Operator (computer programming),Fredholm theory,Eigenvalues and eigenvectors,Mathematics
Journal
Volume
Issue
ISSN
37
6
1064-8275
Citations 
PageRank 
References 
1
0.56
5
Authors
4
Name
Order
Citations
PageRank
Habib Ammari1821104.69
Yat Tin Chow2267.13
Keji Liu3184.04
Jun Zou4123.37