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COMPACTNESS CRITERIA AND MEASURES OF NONCOMPACTNESS IN FUNCTION SPACES
Published online by Cambridge University Press: 30 October 2000
Abstract
In [9], R. S. Phillips gave a compactness criterion for subsets of a Banach space X, namely, that if (Ts) is a net of compact operators converging strongly to the identity then a bounded set A ⊆ X is relatively compact if and only if (Ts) converges uniformly on A to the identity. He then used this general result to give concrete compactness criteria in some specific spaces and to investigate compactness of operators. In this paper, we develop these ideas in two directions: firstly, to demonstrate that this method can be used as a unifying tool to derive many classical compactness criteria originally proved using other techniques, and secondly to extend the method from giving a criterion for compactness to giving a generalised measure of noncompactness. The conditions for compactness that result from this approach are not new (though they are possibly given in slightly more generality than can easily be found in the literature), but they all arise from a single, simple, and usually elementary, approach.
Throughout, vector operations applied to sets are all defined pointwise, so if A and B are subsets of a vector space, x is a vector and λ is a scalar, then
formula here
The ball centred at x with radius r in a normed space X is denoted BX(x; r). More generally, if A is a subset of a normed space X then the r-neighbourhood BX(A; r) of A is defined by
formula here
It is sometimes convenient to combine these notations, for example to use x+rBX(0; 1) in place of BX(x; r) or A+rBX(0; 1) in place of BX(A; r).
The ball measure of noncompactness in a normed space X will be denoted by βX: if A is a bounded subset of X then βX(A) is the infimum of r such that A can be covered with finitely many balls of radius r.
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- Research Article
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- The London Mathematical Society 2000