Titlebook: Infinite Dimensional Analysis; A Hitchhiker’s Guide Charalambos D. Aliprantis,Kim C. Border Book 19941st edition Springer-Verlag Berlin Hei

彎曲的人

Metrizable spaces, with a metric space if they could. The reason is that the metric, a real-valued function, allows us to analyze these spaces using what we know about the real numbers. That is why they are so important in real analysis. We present here some of the more arcane results of the theory. A good source for

MAIZE

厚顏無恥

Normed spaces,te dimensional vector space, the Hausdorif linear topology the norm generates is unique (Theorem 4.61). The Euclidean norm makes ?. into a complete metric space. A normed space that is complete in the metric induced by its norm is called a .. Here is an overview of some of the more salient results i

小隔間

ferment

Banach lattices,d upon a lattice norm it precipitates several surprising consequences. For instance: positive operators between complete normed Riesz spaces are automatically continuous; not every Riesz space can become a complete normed Riesz space; and a Riesz space can admit at most one lattice norm under which

機械

Charges and measures,es ascribed to area. The main property is .. The area of two regions that do not overlap is the sum of their areas. A . is any nonnegative set function that is additive in this sense. A . is a charge that is countably additive. That is, the area of a sequence of disjoint regions is the infinite seri

FECT

Integrals,years ago with the introduction by Greek mathematicians of the celebrated “method of exhaustion.” This method also introduced the modern concept of limit. In the method of exhaustion, a convex figure is approximated by inscribed (or circumscribed) polygons whose areas can be calculated—and then the

高談闊論

Measures and topology, metric structure on the underlying measure space. By combining topological and set theoretic notions it is possible to develop a richer and more useful theory. Some of these connections between measure theory and topology are discussed in this chapter.

Onerous

Probability measures on metrizable spaces, Borel sets . of .. As usual, ..(.) denotes the Banach lattice of all bounded continuous real functions on .. The reason we focus on probability measures is that every finite measure is the difference of measures each of which is a nonnegative multiple of a probability measure. That is, the probabil

為寵愛

Spaces of sequences,uence spaces can be thought of as the “building blocks” of Banach spaces and Banach lattices. Whether they are embedded in a Banach space or a Banach lattice reflect the topological and order structure of the space. In this chapter, we introduce the classical sequence spaces, ., .., ., .., .∞, and .