On the minimal overlap problem of Erdös
L Moser (1959)
Acta Arithmetica
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Displaying similar documents to “Approximative solutions of stochastic optimization problems”
On the minimal overlap problem of Erdös
Minimal realcompact spaces
Asit Baran-Raha (1972)
Colloquium Mathematicae
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Minimal Niven numbers
H. Fredricksen, E. J. Ionascu, F. Luca, P. Stănică (2008)
Acta Arithmetica
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A multidimensional Taylor's theorem with minimal hypothesis
J. Marshall Ash, A. Eduardo Gatto, Stephen Vági (1990)
Colloquium Mathematicae
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Minimal Sets Generated by a Substitution of Non Constant Length
Pierre Michel (1975)
Publications mathématiques et informatique de Rennes
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Two commuting maps without common minimal points
Tomasz Downarowicz (2011)
Colloquium Mathematicae
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We construct an example of two commuting homeomorphisms S, T of a compact metric space X such that the union of all minimal sets for S is disjoint from the union of all minimal sets for T. In other words, there are no common minimal points. This answers negatively a question posed in [C-L]. We remark that Furstenberg proved the existence of "doubly recurrent" points (see [F]). Not only are these points recurrent under both S and T, but they recur along the same sequence of powers. Our...
Quasiadditivity of capacity and minimal thinness.
Aikawa, Hiroaki (1993)
Annales Academiae Scientiarum Fennicae. Series A I. Mathematica
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The minimal displacement problem in the space l ∞
Krzysztof Bolibok (2012)
Open Mathematics
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We give a lower bound for the minimal displacement characteristic in the space l ∞.
Generic uniqueness of a minimal solution for variational problems on a torus.
Zaslavski, Alexander J. (2002)
Abstract and Applied Analysis
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Minimal supersolutions of BSDEs with lower semicontinuous generators
Gregor Heyne, Michael Kupper, Christoph Mainberger (2014)
Annales de l'I.H.P. Probabilités et statistiques
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We study minimal supersolutions of backward stochastic differential equations. We show the existence and uniqueness of the minimal supersolution, if the generator is jointly lower semicontinuous, bounded from below by an affine function of the control variable, and satisfies a specific normalization property. Semimartingale convergence is used to establish the main result.