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＜電子ブック＞
Limit Theorems for the Riemann Zeta-Function / by Antanas Laurincikas
(Mathematics and Its Applications ; 352)

版	1st ed. 1996.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	1996
本文言語	英語
大きさ	XIV, 306 p : online resource
著者標目	*Laurincikas, Antanas author SpringerLink (Online service)
件　名	LCSH:Number theory LCSH:Probabilities LCSH:Functions of complex variables LCSH:Functional analysis LCSH:Measure theory FREE:Number Theory FREE:Probability Theory FREE:Functions of a Complex Variable FREE:Functional Analysis FREE:Measure and Integration
一般注記	1. Elements of the Probability Theory -- 2. Dirichlet Series and Dirichlet Polynomials -- 3. Limit Theorems for the Modulus of the Riemann Zeta-Function -- 4. Limit Theorems for the Riemann Zeta-Function on the Complex Plane -- 5. Limit Theorems for the Riemann Zeta-Function in the Space of Analytic Functions -- 6. Universality Theorem for the Riemann Zeta-Function -- 7. Limit Theorem for the Riemann Zeta-Function in the Space of Continuous Functions -- 8. Limit Theorems for Dirichlet L-Functions -- 9. Limit Theorem for the Dirichlet Series with Multiplicative Coefficients -- References -- Notation The subject of this book is probabilistic number theory. In a wide sense probabilistic number theory is part of the analytic number theory, where the methods and ideas of probability theory are used to study the distribution of values of arithmetic objects. This is usually complicated, as it is difficult to say anything about their concrete values. This is why the following problem is usually investigated: given some set, how often do values of an arithmetic object get into this set? It turns out that this frequency follows strict mathematical laws. Here we discover an analogy with quantum mechanics where it is impossible to describe the chaotic behaviour of one particle, but that large numbers of particles obey statistical laws. The objects of investigation of this book are Dirichlet series, and, as the title shows, the main attention is devoted to the Riemann zeta-function. In studying the distribution of values of Dirichlet series the weak convergence of probability measures on different spaces (one of the principle asymptotic probability theory methods) is used. The application of this method was launched by H. Bohr in the third decade of this century and it was implemented in his works together with B. Jessen. Further development of this idea was made in the papers of B. Jessen and A. Wintner, V. Borchsenius and B HTTP:URL=https://doi.org/10.1007/978-94-017-2091-5

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