Probabilistic Diophantine Approximation: Randomness in Lattice Point Counting: Springer Monographs in Mathematics
Autor József Becken Limba Engleză Hardback – 22 oct 2014
Written by one of the acknowledged experts in the field, Probabilistic Diophantine Approximation is presented in a clear and informal style with sufficient detail to appeal to both advanced students and researchers in number theory.
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Specificații
ISBN-13: 9783319107400
ISBN-10: 3319107402
Pagini: 487
Ilustrații: XVI, 487 p. 22 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.88 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Springer Monographs in Mathematics
Locul publicării:Cham, Switzerland
ISBN-10: 3319107402
Pagini: 487
Ilustrații: XVI, 487 p. 22 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.88 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Springer Monographs in Mathematics
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Preface.- 1 What is "probabilistic" diophantine approximation?.- 2 Expectation, and its connection with quadratic fields.- 3 Variance, and its connection with quadratic fields.- 4 Proving randomness.- 5 Pell equation, super irregularity and randomness.- 6 More on randomness.- References.- Index.
Recenzii
“The author has written a monograph withnew results in a new direction of research in probability and number theory,including algebraic number theory. … The book is presented in a clear style andwill be valuable for researchers in the field.” (Oto Strauch, MathematicalReviews, October, 2015)
“Novel, important, intuitively appealing mathematics and a highly readable account. Summing Up: Highly recommended. Upper-division undergraduates and above.” (D. V. Feldman, Choice, Vol. 52 (11), July, 2015)
“Beck’s book brings together probability theory, algebraic number theory, and combinatorics to forge new ground. … the book is accessible to a wide range of mathematicians. … Beck did a nice job of motivating the questions and explaining theanswers.” (Darren Glass, MAA Reviews, July, 2015)
“Novel, important, intuitively appealing mathematics and a highly readable account. Summing Up: Highly recommended. Upper-division undergraduates and above.” (D. V. Feldman, Choice, Vol. 52 (11), July, 2015)
“Beck’s book brings together probability theory, algebraic number theory, and combinatorics to forge new ground. … the book is accessible to a wide range of mathematicians. … Beck did a nice job of motivating the questions and explaining theanswers.” (Darren Glass, MAA Reviews, July, 2015)
Notă biografică
József Beck is Harold H. Martin Professor of Mathematics at Rutgers University.
Textul de pe ultima copertă
This book gives a comprehensive treatment of random phenomena and distribution results in diophantine approximation, with a particular emphasis on quadratic irrationals. It covers classical material on the subject as well as many new results developed by the author over the past decade. A range of ideas from other areas of mathematics are brought to bear with surprising connections to topics such as formulae for class numbers, special values of L-functions, and Dedekind sums. Care is taken to elaborate difficult proofs by motivating major steps and accompanying them with background explanations, enabling the reader to learn the theory and relevant techniques.
Written by one of the acknowledged experts in the field, Probabilistic Diophantine Approximation is presented in a clear and informal style with sufficient detail to appeal to both advanced students and researchers in number theory.
Written by one of the acknowledged experts in the field, Probabilistic Diophantine Approximation is presented in a clear and informal style with sufficient detail to appeal to both advanced students and researchers in number theory.
Caracteristici
Includes many insights into diophantine approximation by one of the field's leading contributors Covers both classical results and recent research developments Provides detailed and well-motivated proofs, enabling the reader to grasp key ideas behind difficult arguments Includes supplementary material: sn.pub/extras