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A. N. Kolmogorov

    Andreï Nikolaïevitch Kolmogorov était un mathématicien soviétique et professeur à l'Université d'État de Moscou, où il devint le premier président du département de théorie des probabilités. Son travail a posé les bases axiomatiques modernes du domaine, influençant profondément son développement ultérieur. L'impact de Kolmogorov sur les mathématiques est indéniable, et son approche de la probabilité reste une pierre angulaire de l'étude.

    Reelle Funktionen und Funktionalanalysis
    Foundations of the Theory of Probability: Second English
    Mathematics of the 19th Century
    Introductory Real Analysis
    Foundations of the Theory of Probability
    Elements of the Theory of Functions and Functional Analysis [Two Volumes in One]
    • Focusing on advanced mathematical concepts, this comprehensive two-part text by A. N. Kolmogorov covers essential topics such as metric and normed spaces, measure theory, and Hilbert space. The work reflects Kolmogorov's significant contributions to various fields, including probability theory and turbulence. It includes exercises for practical application and provides lists of symbols, definitions, and theorems, making it a valuable resource for advanced students and researchers in mathematics. The reprint preserves the original edition's integrity without optical recognition software.

      Elements of the Theory of Functions and Functional Analysis [Two Volumes in One]
    • 4,3(10)Évaluer

      This foundational work in probability theory rigorously establishes key principles, akin to Euclid's approach to geometry. Originally published in 1933, it marked a significant milestone in mathematics, laying the groundwork for modern probability. Kolmogorov's treatise not only introduced essential concepts but also solidified his status as a preeminent figure in the field. This reprint offers a full facsimile of the original edition, preserving the historical significance and intellectual contributions of Kolmogorov's groundbreaking insights.

      Foundations of the Theory of Probability
    • Comprehensive, elementary introduction to real and functional analysis covers basic concepts and introductory principles in set theory, metric spaces, topological and linear spaces, linear functionals and linear operators, more. 1970 edition.

      Introductory Real Analysis
    • Mathematics of the 19th Century

      Function Theory According to Chebyshev Ordinary Differential Equations Calculus of Variations Theory of Finite Differences

      • 372pages
      • 14 heures de lecture
      3,5(2)Évaluer

      The editors initially aimed to create a comprehensive work on the history of nineteenth-century mathematics, transitioning systematically through various disciplines. However, challenges in author selection led to the abandonment of this plan by the second volume. Instead of a unified monograph, the series now offers a collection of books that collectively cover the mathematics of the nineteenth century, though not in the conventional order of disciplines. Unlike the first two volumes, which were organized into chapters, this third volume is divided into four parts, aligning better with the publication's nature. The first book addressed the history of mathematical logic, algebra, number theory, and probability, while the second focused on geometry and analytic function theory. In this third volume, readers will encounter an essay on Chebyshev's theory of function approximation, later termed "constructive function theory" by S. N. Bernshtein. This original essay, authored by the late N. I. Akhiezer (1901-1980), who made significant contributions to this field, is expected to engage not only historians of mathematics but also specialists in constructive function theory.

      Mathematics of the 19th Century
    • This famous little book remains a foundational text for the understanding of probability theory, important both to students beginning a serious study of probability and to historians of modern mathematics. 1956 second edition.

      Foundations of the Theory of Probability: Second English