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Convex Stochastic Duality and the "Biting Lemma"

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Author Info
Evstigneev, I.V.
Flam, S.D.

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Abstract

A standard approach to duality in stochastic optimization problems with constraints in L(infinite) relies upon the Yosida-Hewitt theorem. We develop an alternative technique which employs only "elementary" means. The technique is based on an e-regularization of the original problem and on passing to the limit as e --> 0 with the help of a simple measure-theoretic fact-the biting lemma.

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Publisher Info
Paper provided by Department of Economics, University of Bergen in its series Norway; Department of Economics, University of Bergen with number 0300.

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Length: 12 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:fth:bereco:0300

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Postal: Department of Economics, University of Bergen Fosswinckels Gate 6. N-5007 Bergen, Norway
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Web page: http://www.uib.no/econ/
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Related research
Keywords: STOCHASTIC MODELS ; MATHEMATICAL ANALYSIS ; ECONOMETRICS;

Find related papers by JEL classification:
C60 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - General
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis

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