Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming
Liang Chen, Ruoning Chen, Defeng Sun, Junyuan Zhu

TL;DR
This paper establishes the equivalence between the Aubin property and strong regularity in nonlinear second-order cone programming, using a reduction approach and alternative cone choices, advancing variational analysis theory.
Contribution
It introduces a novel reduction approach and cone-based lemma to prove the equivalence, extending previous results to broader SOCP cases.
Findings
Proves the equivalence between Aubin property and strong regularity in nonlinear SOCP.
Provides a new approach to the classical equivalence in nonlinear programming.
Replaces the S-lemma with a cone-based lemma for broader applicability.
Abstract
This paper solves a fundamental open problem in variational analysis on the equivalence between the Aubin property and the strong regularity for nonlinear second-order cone programming (SOCP) at a locally optimal solution. We achieve this by introducing a reduction approach to the Aubin property characterized by the Mordukhovich criterion and a lemma of alternative choices on cones to replace the S-lemma used in Outrata and Ram\'irez [SIAM J. Optim. 21 (2011) 789-823] and Opazo, Outrata, and Ram\'irez [SIAM J. Optim. 27 (2017) 2141-2151], where the same SOCP was considered under the strict complementarity condition except for possibly only one block of constraints. As a byproduct, we also offer a new approach to the well-known result of Dontchev and Rockafellar [SIAM J. Optim. 6 (1996) 1087-1105] on the equivalence of the two concepts in conventional nonlinear programming.
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Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Advanced Control Systems Optimization
