Handbook of Analysis and Its Foundations 1997
DOI: 10.1016/b978-012622760-4/50002-9
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Cited by 42 publications
(17 citation statements)
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“…Furthermore recall that for a convex well-balanced set, the Minkowski functional is a semi-norm. See e.g, [14] or [13].…”
Section: The Exponential Tightness Ofmentioning
confidence: 99%
“…Furthermore recall that for a convex well-balanced set, the Minkowski functional is a semi-norm. See e.g, [14] or [13].…”
Section: The Exponential Tightness Ofmentioning
confidence: 99%
“…The Lebesgue measure of the set will be called its n-dimensional volume [Chap. 21] 31 and denoted Vol Q k = Ω k . We assume that the values of g k are from a uniform distribution over Q k for any realization of uncertainty.…”
Section: Impact Of Number Of Scenariosmentioning
confidence: 99%
“…The Lebesgue measure of the set will be called its n‐dimensional volume [Chap. 21] 31 and denoted Vol3.0235ptk=normalΩk$$ \mathrm{Vol}\kern3.0235pt {\mathbb{Q}}_k={\Omega}_k $$. We assume that the values of gk$$ {g}_k $$ are from a uniform distribution over k$$ {\mathbb{Q}}_k $$ for any realization of uncertainty.…”
Section: Local Reduction For Optimal Controlmentioning
confidence: 99%
“…The proof of Lemma 4.3 uses a variant of the Hahn-Banach theorem, Minkowski's theorem, that ensures that two disjoint convex sets can be separated by a hyperplane. Only one variant of the Hahn-Banach theorem can be proved in ZF, the so-called Finite Extension Lemma (FEL) [Schechter 1997]. 21 But FEL is too weak to imply Minkowski's Theorem ( l is not a convex hull of the union of any of its hyperspaces and a finite number of points).…”
Section: Sketch Of Lewis' Argumentmentioning
confidence: 99%