The Krein–Milman Theorem and Its Applications

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A Course in Functional Analysis and Measure Theory

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Abstract

One of the main merits of the functional analysis-based approach to problems of classical analysis is that it reduces problems formulated analytically to problems of a geometric character. The geometric objects that arise in this way lie in infinite-dimensional spaces, but they can be manipulated by using analogies with figures in the plane or in three-dimensional space. In the present chapter we add to the already built arsenal of geometric tools yet another one: the study of convex sets by means of their extreme points. We demonstrate Krein–Milman theorem on existence of extreme points in convex compact sets and give a number of applications, in particular the proof of the Stone–Weierstrass theorem invented by de Branges, Choquet’s proof of Bernstein’s representation for completely monotone functions, and Lindenstrauss’ proof of Lyapunov’s theorem on vector measures.

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Notes

  1. 1.

    Mark Krein and David Milman were Odessa mathematicians. For this reason, in contrast to the theorems of the Lviv school led by Stefan Banach, which became “Ukrainian” only as a result of post-war geopolitical changes, a Ukrainian patriot like me can be proud that the Krein–Milman theorem is “genuinely Ukrainian”.

  2. 2.

    Kharkiv is a city that hosted many famous mathematicians. Sergei Natanovich Bernstein not only worked for a period of time in Kharkiv, he spent a major part of his life there, exerting an invaluable influence on the formation of the Kharkiv mathematical school.

  3. 3.

    Here simply replacing Bart by Dr. Bartholomew Simpson and Todd by Prof. Todd Flanders is not sufficient to make the formulation “mature”.

  4. 4.

    In principle, \(\mu _1\) and \(\mu _2\) could also be charges, if some pieces of the cake do not seem appealing to one of the two friends, i.e., have negative value for him.

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Correspondence to Vladimir Kadets .

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Kadets, V. (2018). The Krein–Milman Theorem and Its Applications. In: A Course in Functional Analysis and Measure Theory. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-92004-7_18

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