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Title: Optimal error bounds in the absence of constraint qualifications with applications to p-cones and beyond
Authors: Lindstrom, SB
Lourenço, BF
Pong, TK 
Issue Date: May-2025
Source: Mathematics of operations research, May 2025, v. 50, no. 2, p. 1204-1232
Abstract: We prove tight Hölderian error bounds for all p-cones. Surprisingly, the exponents differ in several ways from those that have been previously conjectured. Moreover, they illuminate p-cones as a curious example of a class of objects that possess properties in three dimensions that they do not in four or more. Using our error bounds, we analyse least squares problems with p-norm regularization, where our results enable us to compute the corresponding Kurdyka–Łojasiewicz exponents for previously inaccessible values of p. Another application is a (relatively) simple proof that most p-cones are neither self-dual nor homogeneous. Our error bounds are obtained under the framework of facial residual functions, and we expand it by establishing for general cones an optimality criterion under which the resulting error bound must be tight.
Keywords: Error bounds
Facial residual functions
Hölderian error bounds
p-cones
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Journal: Mathematics of operations research 
ISSN: 0364-765X
EISSN: 1526-5471
DOI: 10.1287/moor.2022.0135
Rights: Copyright: © 2024 INFORMS
This is the accepted manuscript of the following article: Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong (2024) Optimal Error Bounds in the Absence of Constraint Qualifications with Applications to p-Cones and Beyond. Mathematics of Operations Research 50(2):1204-1232, which has been published in final form at https://doi.org/10.1287/moor.2022.0135.
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