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Number Theory – Diophantine Problems, Uniform Distribution and Applications

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Cover of 'Number Theory – Diophantine Problems, Uniform Distribution and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 On Nearly Linear Recurrence Sequences
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    Chapter 2 Risk Theory with Affine Dividend Payment Strategies
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    Chapter 3 A Discrepancy Problem: Balancing Infinite Dimensional Vectors
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    Chapter 4 Squares with Three Nonzero Digits
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    Chapter 5 On the Density of Coprime Tuples of the Form ( n , ⌊ f 1 ( n )⌋, …, ⌊ f k ( n )⌋), Where f 1 , …, f k Are Functions from a Hardy Field
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    Chapter 6 On the Uniform Theory of Lacunary Series
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    Chapter 7 Diversity in Parametric Families of Number Fields
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    Chapter 8 Local Oscillations in Moderately Dense Sequences of Primes
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    Chapter 9 Sums of the Digits in Bases 2 and 3
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    Chapter 10 On the Discrepancy of Halton–Kronecker Sequences
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    Chapter 11 More on Diophantine Sextuples
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    Chapter 12 Effective Results for Discriminant Equations over Finitely Generated Integral Domains
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    Chapter 13 Quasi-Equivalence of Heights and Runge’s Theorem
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    Chapter 14 On the Monoid Generated by a Lucas Sequence
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    Chapter 15 Measures of Pseudorandomness: Arithmetic Autocorrelation and Correlation Measure
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    Chapter 16 On Multiplicative Independent Bases for Canonical Number Systems in Cyclotomic Number Fields
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    Chapter 17 Refined Estimates for Exponential Sums and a Problem Concerning the Product of Three L -Series
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    Chapter 18 Orbits of Algebraic Dynamical Systems in Subgroups and Subfields
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    Chapter 19 Patterns of Primes in Arithmetic Progressions
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    Chapter 20 On Simple Linear Recurrences
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    Chapter 21 Equivalence of the Logarithmically Averaged Chowla and Sarnak Conjectures
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    Chapter 22 Discrepancy Bounds for β $$\boldsymbol{\beta }$$ -adic Halton Sequences
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Title
Number Theory – Diophantine Problems, Uniform Distribution and Applications
Published by
Springer International Publishing, May 2017
DOI 10.1007/978-3-319-55357-3
ISBNs
978-3-31-955356-6, 978-3-31-955357-3
Editors

Elsholtz, Christian, Grabner, Peter

Twitter Demographics

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The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%