Abstract
Compressed modes are solutions of the Laplace equation with a potential and a subgradient term. The subgradient term comes from addition of an L1 penalty in the corresponding variational principle. This paper presents an analysis of compressed modes, finding the minimizer of the variational principle, showing the spatial localization property of compressed modes, and establishing an upper bound on the volume of their support.
Original language | English (US) |
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Pages (from-to) | 2573-2590 |
Number of pages | 18 |
Journal | SIAM Journal on Mathematical Analysis |
Volume | 49 |
Issue number | 4 |
DOIs | |
State | Published - 2017 |
Keywords
- Compressed modes
- Compressive sensing
- L-regularization
- PDE
- Sparsity
ASJC Scopus subject areas
- Analysis
- Computational Mathematics
- Applied Mathematics