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Probabilistic Number Theory I : Mean-Value Theorems
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Necessary Results from Measure Theory
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Chapter 3
Arithmetical Results, Dirichlet Series
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Chapter 4
Finite Probability Spaces
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Chapter 5
The Turán — Kubilius Inequality and Its Dual
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Chapter 6
The Erdös — Wintner Theorem
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Chapter 7
Theorems of Delange, Wirsing, and Halász
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Chapter 8
Translates of Additive and Multiplicative Functions
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Chapter 9
Distribution of Additive Functions (mod 1)
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Chapter 10
Mean Values of Multiplicative Functions, Halász’ Method
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Chapter 11
Multiplicative Functions with First and Second Means
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
211
Dimensions
Book overview
1. Introduction
2. Necessary Results from Measure Theory
3. Arithmetical Results, Dirichlet Series
4. Finite Probability Spaces
5. The Turán — Kubilius Inequality and Its Dual
6. The Erdös — Wintner Theorem
7. Theorems of Delange, Wirsing, and Halász
8. Translates of Additive and Multiplicative Functions
9. Distribution of Additive Functions (mod 1)
10. Mean Values of Multiplicative Functions, Halász’ Method
11. Multiplicative Functions with First and Second Means
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Cleveland State University
1
Unknown