Quantitative stability analysis of stochastic generalized equations
Quantitative stability analysis of stochastic generalized equations
We consider the solution of a system of stochastic generalized equations (SGE) where the underlying functions are mathematical expectation of random set-valued mappings. SGE has many applications such as characterizing optimality conditions of a nonsmooth stochastic optimization problem or equilibrium conditions of a stochastic equilibrium problem. We derive quantitative continuity of expected value of the set-valued mapping with respect to the variation of the underlying probability measure in a metric space. This leads to the subsequent qualitative and quantitative stability analysis of solution set mappings of the SGE. Under some metric regularity conditions, we derive Aubin's property of the solution set mapping with respect to the change of probability measure. The established results are applied to stability analysis of stochastic variational inequality, stationary points of classical one-stage and two-stage stochastic minimization problems, two-stage stochastic mathematical programs with equilibrium constraints, and stochastic programs with second order dominance constraints.
467-497
Liu, Yongchao
e7721a8a-028e-42b2-ac67-e30a0d3a2cf7
Roemisch, Werner
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5
2014
Liu, Yongchao
e7721a8a-028e-42b2-ac67-e30a0d3a2cf7
Roemisch, Werner
d3200e0b-ad1d-4cf7-81aa-48f07fb1f8f5
Liu, Yongchao and Roemisch, Werner
(2014)
Quantitative stability analysis of stochastic generalized equations.
SIAM Journal on Optimization, 24 (1), .
(doi:10.1137/120880434).
Abstract
We consider the solution of a system of stochastic generalized equations (SGE) where the underlying functions are mathematical expectation of random set-valued mappings. SGE has many applications such as characterizing optimality conditions of a nonsmooth stochastic optimization problem or equilibrium conditions of a stochastic equilibrium problem. We derive quantitative continuity of expected value of the set-valued mapping with respect to the variation of the underlying probability measure in a metric space. This leads to the subsequent qualitative and quantitative stability analysis of solution set mappings of the SGE. Under some metric regularity conditions, we derive Aubin's property of the solution set mapping with respect to the change of probability measure. The established results are applied to stability analysis of stochastic variational inequality, stationary points of classical one-stage and two-stage stochastic minimization problems, two-stage stochastic mathematical programs with equilibrium constraints, and stochastic programs with second order dominance constraints.
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Published date: 2014
Organisations:
Operational Research
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Local EPrints ID: 390731
URI: http://eprints.soton.ac.uk/id/eprint/390731
ISSN: 1052-6234
PURE UUID: f9aa3000-6791-40bd-a06b-5b69d949f094
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Date deposited: 06 Apr 2016 14:45
Last modified: 15 Mar 2024 03:15
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Author:
Yongchao Liu
Author:
Werner Roemisch
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