Charpentier / LESNE / Lesne Kolmogorov's Heritage in Mathematics

1. Auflage 2007
ISBN: 978-3-540-36351-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 318 Seiten, eBook

A.N. Kolmogorov (Tambov 1903, Moscow 1987) was one of the most brilliant mathematicians that the world has ever known. Incredibly deep and creative, he was able to approach each subject with a completely new point of view: in a few magnificent pages, which are models of shrewdness and imagination, and which astounded his contemporaries, he changed drastically the landscape of the subject. Each chapter treats one of Kolmogorov's research themes, or a subject that was invented as a consequence of his discoveries. The authors present here his contributions, his methods, the perspectives he opened to us, the way in which this research has evolved up to now, along with examples of recent applications and a presentation of the modern prospects. This book can be read by anyone with a master's (or even a bachelor's) degree in mathematics, computer science or physics, or more generally by anyone who likes mathematical ideas. Rather than presenting detailed proofs, the main ideas are described, and a bibliography for those who wish to understand the technical details.

Zielgruppe

Research

Autoren/Hrsg.

Charpentier, Éric

Lesne, Annick

Charpentier, Eric

LESNE, Annick

Nikolski, Nikolaï K.

Inhaltsverzeichnis

The youth of Andrei Nikolaevich and Fourier series.- Kolmogorov’s contribution to intuitionistic logic.- Some aspects of the probabilistic work.- Infinite dimensional Kolmogorov equations.- From Kolmogorov’s theorem on empirical distribution to number theory.- Kolmogorov’s ?-entropy and the problem of statistical estimation.- Kolmogorov and topology.- Geometry and approximation theory in A. N. Kolmogorov’s works.- Kolmogorov and population dynamics.- Resonances and small divisors.- The KAM Theorem.- From Kolmogorov’s Work on entropy of dynamical systems to Non-uniformly hyperbolic dynamics.- From Hilbert’s 13th Problem to the theory of neural networks: constructive aspects of Kolmogorov’s Superposition Theorem.- Kolmogorov Complexity.- Algorithmic Chaos and the Incompressibility Method.