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Sequential normal compactness versus topological normal compactness in variational analysis

机译:变异分析中的顺序法向紧实度与拓扑法向紧实度

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We study relationships between two normal compactness properties of sets in Banach spaces that play an essential role in many aspects of variational analysis and its applications, particularly in calculus rules for generalized differentiation, necessary optimality and suboptimality conditions for optimization problems, etc. Both properties automatically hold in finite-dimensional spaces and reveal principal features of the infinite-dimensional variational theory. Similar formulations of these properties involve the weak* convergence of sequences and nets, respectively, containing generalized normal cones in duals to Banach spaces. We prove that these properties agree for a large class of Banach spaces that include weakly compactly generated spaces. We also show that they are always different in Banach spaces whose unit dual ball is not weak* sequentially compact. Moreover, the sequential and topological normal compactness properties may not coincide even in non-separable Asplund spaces that admit an equivalent Cinfinity-smooth norm. (C) 2003 Elsevier Ltd. All rights reserved. [References: 25]
机译:我们研究了Banach空间中集合的两个正常紧致特性之间的关系,这些特性在变分分析及其应用的许多方面都发挥着至关重要的作用,尤其是在广义微分的演算规则,优化问题的必要最优性和次最优性条件等方面。保持在有限维空间中并揭示无限维变分理论的主要特征。这些性质的类似表述分别涉及序列和网络的弱收敛,其中包含与Banach空间对偶的广义法线锥。我们证明了这些性质对于包含弱紧凑生成空间的一类Banach空间是一致的。我们还表明,它们在单位双球不弱*且顺序紧凑的Banach空间中总是不同的。而且,即使在允许同等Cinfinity-光滑范数的不可分离的Asplund空间中,顺序和拓扑法正常压实性也可能不一致。 (C)2003 Elsevier Ltd.保留所有权利。 [参考:25]

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