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| Montgomery H. Multiplicative Number Theory II. Primes and Sieves 2026.pdf | 13.9 MB |
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SOURCE: Montgomery H. Multiplicative Number Theory II. Primes and Sieves 2026
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COVER

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MEDIAINFO
Textbook in PDF format
This long-anticipated work shares the aims of its celebrated companion: namely, to provide an introduction for students and a reference for researchers to the techniques, results, and terminology of multiplicative number theory. This volume builds on the earlier one (which served as an introduction to basic, classical results) and focuses on sieve methods. This area has witnessed a number of major advances in recent years, e.g. gaps between primes, large values of Dirichlet polynomials and zero density estimates, all of which feature here. Despite the fact that the book can serve as an entry to contemporary mathematics, it remains largely self-contained, with appendices containing background or material more advanced than undergraduate mathematics.
Preface
Notation
Exponential Sums I: Van der Corput’s Method
Exponential Integrals
Elementary Estimates
Van der Corput’s Method
Notes
References
Estimates for Sums over Primes
Principles of the Method
An Exponential Sum Formed with Primes
Further Applications
Digit Sums of Primes
Notes
References
Additive Prime Number Theory
Sums of Three Primes
Sums of Two Primes on Average
Conditional Estimates
A Lower Bound for the Error Term
The Distribution of Primes in Short Intervals
Notes
References
The Large Sieve
Trigonometric Polynomials
Mean Square Distribution in Arithmetic Progressions
Character Sums
Maximal Variants
Notes
References
Primes in Arithmetic Progressions: III
........................
The Bombieri–Vinogradov Theorem
Applications of the Bombieri–Vinogradov Theorem
Mean Square Distribution
Notes
References
Sieves of Fixed Dimension and Applications
Refresher on Sieves
The Rosser–Iwaniec Sieve
The Linear Sieve
The Selberg Examples
Some Applications of Sieve Theory
Almost Primes in Polynomial Sequences
Notes
References
Bounded Gaps between Primes
The GPY Sieve
The Proof of Maynard’s Theorem
Consequences of Maynard’s Theorem
Notes
References
Appendix E Topics in Harmonic Analysis II
Uniform Approximation of Continuous Functions
Quantitative Trigonometric Approximation
An Additional Trigonometric Majorant
Maximal Inequalities
Notes
References
Appendix F Uniform Distribution
Uniform Distribution (mod 1)
Quantitative Estimates
Kronecker’s Theorem
Almost Periodicity
Notes
References
Appendix G Bounds for Bilinear Forms
The Operator Norm of a Matrix
Square Matrices
Bessel’s Inequality
Hilbert’s Inequality
Notes
References
Appendix H Linear Programming
Fundamental Theory
The Application to Sieves
Notes
References
Errata for Volume 1
Name Index
Subject Index
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