Author
Listed:
- Juhe Sun
(Shenyang Aerospace University)
- Bin Wang
(SINOPEC Shengli Oilfield Company)
- Li Wang
(Shenyang Aerospace University)
- Yanhong Yuan
(Taiyuan University of Technology)
- Yining Sun
(Shenyang Aerospace University)
Abstract
We provide the second-order cone double constrained variational inequalities (SOCDCVI) problem, which can be reduced to be the second-order cone coupled constrained variational inequalities problem. In order to provide the theoretical analysis for the convergence of algorithms to solve the corresponding second-order cone double variational inequalities problem, we firstly establish optimality conditions, including the first-order necessary and the second-order sufficient conditions. For the second-order cone double constrained variational inequality, we prove the first-order necessary conditions under Robinson constraint qualification, and the second-order sufficient conditions when the constraint sets satisfy outer seconder-order regularity condition. Secondly, by characterizing the generalized equation, the equivalence between the strongly regular solution and the Lipschitz homeomorphisms of the Karush-Kuhn-Tucker (KKT) mapping can be derived. With the strong second-order sufficient conditions under the constraints nondegeneracy conditions, we prove the nonsingularity of the Clarke’s generalized Jacobian of the KKT mapping. In addition, we introduce the uniform second-order growth conditions and the strong stability of local optimal solutions of the corresponding second-order cone double constrained optimization problem. Thus, by demonstrating several equivalent conclusions, we obtain the main stability theorem. The research results for the SOCDCVI problem will be a supplement for the study of variational inequalities.
Suggested Citation
Juhe Sun & Bin Wang & Li Wang & Yanhong Yuan & Yining Sun, 2025.
"The Optimality Conditions and Stability Analysis for the Second-Order Cone Double Constrained Variational Inequalities,"
Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 101(3), pages 435-458, June.
Handle:
RePEc:spr:mathme:v:101:y:2025:i:3:d:10.1007_s00186-025-00893-4
DOI: 10.1007/s00186-025-00893-4
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:mathme:v:101:y:2025:i:3:d:10.1007_s00186-025-00893-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.