TY - JOUR
T1 - A constructive approach for computing the proximity operator of the p-th power of the ℓ1 norm
AU - Prater-Bennette, Ashley
AU - Shen, Lixin
AU - Tripp, Erin E.
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2023/11
Y1 - 2023/11
N2 - This note is to study the proximity operator of hp=‖⋅‖1p, the power function of the ℓ1 norm. For general p, computing the proximity operator requires solving a system of potentially highly nonlinear inclusions. For p=1, the proximity operator of h1 is the well known soft-thresholding operator. For p=2, the function h2 serves as a penalty function that promotes structured solutions to optimization problems of interest; the computation of the proximity operator of h2 has been discussed in recent literature. By examining the properties of the proximity operator of the power function of the ℓ1 norm, we will develop a simple and well-justified approach to compute the proximity operator of hp with p>1. In particular, for the squared ℓ1 norm function, our approach provides an alternative, yet explicit way to finding its proximity operator. We also discuss how the structure of hp represents a class of relative sparsity promoting functions.
AB - This note is to study the proximity operator of hp=‖⋅‖1p, the power function of the ℓ1 norm. For general p, computing the proximity operator requires solving a system of potentially highly nonlinear inclusions. For p=1, the proximity operator of h1 is the well known soft-thresholding operator. For p=2, the function h2 serves as a penalty function that promotes structured solutions to optimization problems of interest; the computation of the proximity operator of h2 has been discussed in recent literature. By examining the properties of the proximity operator of the power function of the ℓ1 norm, we will develop a simple and well-justified approach to compute the proximity operator of hp with p>1. In particular, for the squared ℓ1 norm function, our approach provides an alternative, yet explicit way to finding its proximity operator. We also discuss how the structure of hp represents a class of relative sparsity promoting functions.
KW - Proximity operator
KW - Relative sparsity
KW - Sparsity
UR - http://www.scopus.com/inward/record.url?scp=85164244338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85164244338&partnerID=8YFLogxK
U2 - 10.1016/j.acha.2023.06.007
DO - 10.1016/j.acha.2023.06.007
M3 - Letter/Newsletter
AN - SCOPUS:85164244338
SN - 1063-5203
VL - 67
JO - Applied and Computational Harmonic Analysis
JF - Applied and Computational Harmonic Analysis
M1 - 101572
ER -