The Bounds of Set

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BOUNDS—Set or Query the Edit Boundaries

A subset S of a metric space M , d is bounded if it is contained in a ball of finite radius, i. M , d is a bounded metric space or d is a bounded metric if M is bounded as a subset of itself.

In topological vector spaces , a different definition for bounded sets exists which is sometimes called von Neumann boundedness. If the topology of the topological vector space is induced by a metric which is homogeneous , as in the case of a metric induced by the norm of normed vector spaces , then the two definitions coincide. A set of real numbers is bounded if and only if it has an upper and lower bound.

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This definition is extendable to subsets of any partially ordered set. Note that this more general concept of boundedness does not correspond to a notion of "size". The element k is called an upper bound of S. The concepts of bounded below and lower bound are defined similarly.

See also upper and lower bounds. A subset S of a partially ordered set P is called bounded if it has both an upper and a lower bound, or equivalently, if it is contained in an interval. Note that this is not just a property of the set S but also one of the set S as subset of P.

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A bounded poset P that is, by itself, not as subset is one that has a least element and a greatest element. Note that this concept of boundedness has nothing to do with finite size, and that a subset S of a bounded poset P with as order the restriction of the order on P is not necessarily a bounded poset.

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A subset S of R n is bounded with respect to the Euclidean distance if and only if it bounded as subset of R n with the product order. Share This Paper.

Set of the Night: Cleveland Cavaliers Sideline out of Bounds Set

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Tightening the bound estimate of structural reliability under imprecise probability information Cao Wang , Zhang Hao , Michael Beer. Computing tight bounds of structural reliability under imprecise probabilistic information Cao Wang , Hao Zhang , Michael Beer.


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References Publications referenced by this paper. On the calculation of the bounds of probability of events using infinite random sets. Tighter bounds on the probability of failure than those provided by random set theory Diego A. A Monte Carlo-based method for the estimation of lower.



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