Injectivity and weak*-to-weak continuity suffice for convergence rates in l1-regularization

被引:11
作者
Flemming, Jens [1 ]
Gerth, Daniel [1 ]
机构
[1] Tech Univ Chemnitz, Fac Math, D-09107 Chemnitz, Germany
来源
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS | 2018年 / 26卷 / 01期
关键词
Linear ill-posed problem; sparsity promoting regularization; Tikhonov regularization; source condition; variational source condition; convergence rates; REGULARIZATION;
D O I
10.1515/jiip-2017-0008
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We show that the convergence rate of l(1)-regularization for linear ill-posed equations is always O(delta) if the exact solution is sparse and if the considered operator is injective and weak*-to-weak continuous. Under the same assumptions convergence rates in case of non-sparse solutions are proven. The results base on the fact that certain source-type conditions used in the literature for proving convergence rates are automatically satisfied.
引用
收藏
页码:85 / 94
页数:10
相关论文
共 17 条
[1]   On the interplay of basis smoothness and specific range conditions occurring in sparsity regularization [J].
Anzengruber, Stephan W. ;
Hofmann, Bernd ;
Ramlau, Ronny .
INVERSE PROBLEMS, 2013, 29 (12)
[2]   Regularization with non-convex separable constraints [J].
Bredies, Kristian ;
Lorenz, Dirk A. .
INVERSE PROBLEMS, 2009, 25 (08)
[3]   Convergence rates in l1-regularization if the sparsity assumption fails [J].
Burger, Martin ;
Flemming, Jens ;
Hofmann, Bernd .
INVERSE PROBLEMS, 2013, 29 (02)
[4]   An iterative thresholding algorithm for linear inverse problems with a sparsity constraint [J].
Daubechies, I ;
Defrise, M ;
De Mol, C .
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2004, 57 (11) :1413-1457
[5]  
Engl H. W., 1996, MATH APPL, V375
[6]  
Flemming J, 2012, GEN TIKHONOV REGULAR
[7]   Convergence rates for l1-regularization without injectivity-type assumptions [J].
Flemming, Jens .
INVERSE PROBLEMS, 2016, 32 (09)
[8]   A unified approach to convergence rates for l1-regularization and lacking sparsity [J].
Flemming, Jens ;
Hofmann, Bernd ;
Veselic, Ivan .
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS, 2016, 24 (02) :139-148
[9]   Convergence rates in l1-regularization when the basis is not smooth enough [J].
Flemming, Jens ;
Hegland, Markus .
APPLICABLE ANALYSIS, 2015, 94 (03) :464-476
[10]   Necessary and Sufficient Conditions for Linear Convergence of l1-Regularization [J].
Grasmair, Markus ;
Haltmeier, Markus ;
Scherzer, Otmar .
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2011, 64 (02) :161-182