The Riemann Hypothesis in Characteristic p in Historical Perspective The Riemann Hypothesis in Characteristic p in Historical Perspective
Lecture Notes in Mathematics

The Riemann Hypothesis in Characteristic p in Historical Perspective

    • $44.99
    • $44.99

Publisher Description

This book tells the story of the Riemann hypothesis for function fields (or curves) starting with Artin's 1921 thesis, covering Hasse's work in the 1930s on elliptic fields and more, and concluding with Weil's final proof in 1948. The main sources are letters which were exchanged among the protagonists during that time, found in various archives, mostly the University Library in Göttingen. The aim is to show how the ideas formed, and how the proper notions and proofs were found, providing a particularly well-documented illustration of how mathematics develops in general. The book is written for mathematicians, but it does not require any special knowledge of particular mathematical fields.

GENRE
Science & Nature
RELEASED
2018
September 28
LANGUAGE
EN
English
LENGTH
244
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
5
MB
The Mathematics of Frobenius in Context The Mathematics of Frobenius in Context
2013
The Abel Prize 2008-2012 The Abel Prize 2008-2012
2014
Proofs of the Cantor-Bernstein Theorem Proofs of the Cantor-Bernstein Theorem
2013
Exploring the Riemann Zeta Function Exploring the Riemann Zeta Function
2017
Geometry and Complex Variables Geometry and Complex Variables
2017
80 Years of Zentralblatt MATH 80 Years of Zentralblatt MATH
2011
Planar Maps, Random Walks and Circle Packing Planar Maps, Random Walks and Circle Packing
2019
Mathematical Epidemiology Mathematical Epidemiology
2008
Introduction to ℓ²-invariants Introduction to ℓ²-invariants
2019
Hopf Algebras and Their Generalizations from a Category Theoretical Point of View Hopf Algebras and Their Generalizations from a Category Theoretical Point of View
2018
Ramanujan Summation of Divergent Series Ramanujan Summation of Divergent Series
2017
Large Deviations for Random Graphs Large Deviations for Random Graphs
2017