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Relaxation theorem for set-valued functions with decomposable values

Andrzej Kisielewicz — 1996

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

Let (T,F,μ) be a separable probability measure space with a nonatomic measure μ. A subset K ⊂ L(T,Rⁿ) is said to be decomposable if for every A ∈ F and f ∈ K, g ∈ K one has f χ A + g χ T K . Using the property of decomposability as a substitute for convexity a relaxation theorem for fixed point sets of set-valued function is given.

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