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Quantitative stability analysis of stochastic quasi-variational inequality problems and applications

Quantitative stability analysis of stochastic quasi-variational inequality problems and applications
Quantitative stability analysis of stochastic quasi-variational inequality problems and applications
We consider a parametric stochastic quasi-variational inequality problem (SQVIP for short) where the underlying normal cone is defined over the solution set of a parametric stochastic cone system. We investigate the impact of variation of the probability measure and the parameter on the solution of the SQVIP. By reformulating the SQVIP as a natural equation and treating the orthogonal projection over the solution set of the parametric stochastic cone system as an optimization problem, we effectively convert stability of the SQVIP into that of a one stage stochastic program with stochastic cone constraints. Under some moderate conditions, we derive Hölder outer semicontinuity and continuity of the solution set against the variation of the probability measure and the parameter. The stability results are applied to a mathematical program with stochastic semidefinite constraints and a mathematical program with SQVIP constraints.
0025-5610
Jie, Zhang
a677cc22-3082-4ac5-ac4b-7c7505f02df8
Xu, Huifu
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5
Zhang, Liwei
10fce21c-16d9-4096-b07a-cf2cab1591c0
Jie, Zhang
a677cc22-3082-4ac5-ac4b-7c7505f02df8
Xu, Huifu
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5
Zhang, Liwei
10fce21c-16d9-4096-b07a-cf2cab1591c0

Jie, Zhang, Xu, Huifu and Zhang, Liwei (2017) Quantitative stability analysis of stochastic quasi-variational inequality problems and applications. Mathematical Programming. (doi:10.1007/s10107-017-1116-9).

Record type: Article

Abstract

We consider a parametric stochastic quasi-variational inequality problem (SQVIP for short) where the underlying normal cone is defined over the solution set of a parametric stochastic cone system. We investigate the impact of variation of the probability measure and the parameter on the solution of the SQVIP. By reformulating the SQVIP as a natural equation and treating the orthogonal projection over the solution set of the parametric stochastic cone system as an optimization problem, we effectively convert stability of the SQVIP into that of a one stage stochastic program with stochastic cone constraints. Under some moderate conditions, we derive Hölder outer semicontinuity and continuity of the solution set against the variation of the probability measure and the parameter. The stability results are applied to a mathematical program with stochastic semidefinite constraints and a mathematical program with SQVIP constraints.

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SQVIP_R3_06_Dec_2016 - Accepted Manuscript
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More information

Accepted/In Press date: 25 January 2017
e-pub ahead of print date: 14 February 2017
Organisations: Operational Research

Identifiers

Local EPrints ID: 410156
URI: http://eprints.soton.ac.uk/id/eprint/410156
ISSN: 0025-5610
PURE UUID: 0f0ee3a6-5c5f-4515-976f-26623c69ab24
ORCID for Huifu Xu: ORCID iD orcid.org/0000-0001-8307-2920

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Date deposited: 03 Jun 2017 04:04
Last modified: 16 Mar 2024 05:03

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Contributors

Author: Zhang Jie
Author: Huifu Xu ORCID iD
Author: Liwei Zhang

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