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Metrical Theory of Continued Fractions 2002 ed. [Kietas viršelis]

  • Formatas: Hardback, 383 pages, aukštis x plotis: 234x156 mm, weight: 1650 g, XIX, 383 p., 1 Hardback
  • Serija: Mathematics and Its Applications 547
  • Išleidimo metai: 30-Sep-2002
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1402008929
  • ISBN-13: 9781402008924
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 383 pages, aukštis x plotis: 234x156 mm, weight: 1650 g, XIX, 383 p., 1 Hardback
  • Serija: Mathematics and Its Applications 547
  • Išleidimo metai: 30-Sep-2002
  • Leidėjas: Springer-Verlag New York Inc.
  • ISBN-10: 1402008929
  • ISBN-13: 9781402008924
Kitos knygos pagal šią temą:
Collects current knowledge of the metrical theory of the regular continued fraction expansion and related representations of real numbers. Iosifescu (Romanian Academy) and Kraaikamp (Delft University of Technology) review the basic properties of the continued fraction expansion, then generalize Gauss' problem by an elementary approach as well as functional-theoretic methods. The second half of the book develops limit theorems for incomplete quotients and related random variables, and the ergodic properties of the regular continued fraction expansion, leading to strong laws of large numbers. Three appendices present some results from measure theory, regularly varying functions, and limit theorems for mixing random variables. Annotation (c) Book News, Inc., Portland, OR (booknews.com)

The book is essentially based on recent work of the authors. In order to unify and generalize the results obtained so far, new concepts have been introduced, e.g., an infinite order chain representation of the continued fraction expansion of irrationals, the conditional measures associated with, and the extended random variables corresponding to that representation. Also, such procedures as singularization and insertion allow to obtain most of the continued fraction expansions related to the regular continued fraction expansion.The authors present and prove with full details for the first time in book form, the most recent developments in solving the celebrated 1812 Gauss' problem which originated the metrical theory of continued fractions. At the same time, they study exhaustively the Perron-Frobenius operator, which is of basic importance in this theory, on various Banach spaces including that of functions of bounded variation on the unit interval.The book is of interest to research workers and advanced Ph.D. students in probability theory, stochastic processes and number theory.

Recenzijos

From the reviews:









"The authors present and prove the most recent developments in solving the celebrated 1812 Gauss problem which originated the metrical theory of continued fractions. At the same time, they study exhaustively the Perron-Frobenius operator, which is of basic importance in this theory, on various Banach spaces including that of functions of bounded variation on the unit interval. The book is of interest to research workers and advanced Ph. D. students in probability theory, stochastic processes and number theory." (Cryssoula Ganatsiou, Zentralblatt MATH, Vol. 1069 (20), 2005)



"While many excellent books on continued fractions are written, it is rare to see a book exclusively devoted to the material theory of these objects. In addition to filling a hole in the mathematical literature, it does this very thoroughly. It gets around most topics related to the metrical theory of continued fractions . The book is well suited for researchers and advanced graduate students working in functional analysis, probability and/or ergodic theory wishing to learn about the world of continued fractions." (Simon Kristensen, Zentralblatt MATH, Vol. 1122 (24), 2007)

Preface ix
Frequently Used Notation xv
Basic properties of the continued fraction expansion
1(52)
A generalization of Euclid's algorithm
1(13)
The continued fraction transformation τ
1(3)
Continuants and convergents
4(7)
Some special continued fraction expansions
11(3)
Basic metric properties
14(11)
Defining random variables of interest
14(1)
Gauss' problem and measure
15(2)
Fundamental intervals, and applications
17(8)
The natural extension of τ
25(28)
Definition and basic properties
25(2)
Approximation coefficients
27(4)
Extended random variables
31(5)
The conditional probability measures
36(3)
Paul Levy's solution to Gauss' problem
39(4)
Mixing properties
43(10)
Solving Gauss' problem
53(112)
Banach space preliminaries
53(3)
A few classical Banach spaces
53(2)
Bounded essential variation
55(1)
The Perron--Frobenius operator
56(23)
Definition and basic properties
56(6)
Asymptotic behaviour
62(2)
Restricting the domain of the Perron--Frobenius operator
64(6)
A solution to Gauss' problem for probability measures with densities
70(1)
Computing variances of certain sums
71(8)
Wirsing's solution to Gauss' problem
79(22)
Elementary considerations
79(6)
A functional-theoretic approach
85(10)
The case of Lipschitz densities
95(6)
Babenko's solution to Gauss' problem
101(19)
Preliminaries
101(2)
A symmetric linear operator
103(8)
An `exact' Gauss--Kuzmin--Levy theorem
111(8)
ψ-mixing revisited
119(1)
Extending Babenko's and Wirsing's work
120(15)
The Mayer--Roepstorff Hilbert space approach
120(7)
The Mayer--Roepstorff Banach space approach
127(3)
Mayer--Ruelle operators
130(5)
The Markov chain associated with the continued fraction expansion
135(30)
The Perron--Frobenius operator on BV (I)
135(4)
An upper bound
139(12)
Two asymptotic distributions
151(5)
A generalization of a result of A. Denjoy
156(9)
Limit theorems
165(54)
Preliminaries
165(4)
The Poisson law
169(10)
The case of incomplete quotients
169(2)
The case of associated random variable
171(2)
Some extreme value theory
173(6)
Normal convergence
179(17)
Two general invariance principles
179(3)
The case of incomplete quotients
182(6)
The case of associated random variables
188(8)
Convergence to non-normal stable laws
196(17)
The case of incomplete quotients
196(6)
Sums of incomplete quotients
202(5)
The case of associated random variables
207(6)
Fluctuation results
213(6)
The case of incomplete quotients
213(2)
The case of associated random variables
215(4)
Ergodic theory of continued fractions
219(94)
Ergodic theory preliminaries
219(6)
A few general concepts
219(5)
The special case of the transformations τ and τ
224(1)
Classical results and generalizations
225(32)
The case of incomplete quotients
225(15)
Empirical evidence, and normal continued fraction numbers
240(4)
The case of associated and extended random variables
244(13)
Other continued fraction expansions
257(24)
Preliminaries
257(3)
Semi-regular continued fraction expansions
260(4)
The singularization process
264(2)
S-expansions
266(7)
Ergodic properties of S-expansions
273(8)
Examples of S-expansions
281(18)
Nakada's α-expansions
281(8)
Minkowski's diagonal continued fraction expansion
289(3)
Bosma's optimal continued fraction expansion
292(7)
Continued fraction expansions with σ-finite, infinite invariant measure
299(14)
The insertion process
299(1)
The Lehner and Farey continued fraction expansion
300(7)
The backward continued fraction expansion
307(6)
Appendix 1: Spaces, functions, and measures 313(8)
A1.1
313(1)
A1.2
313(1)
A1.3
314(1)
A1.4
314(2)
A1.5
316(3)
A1.6
319(2)
Appendix 2: Regularly varying functions 321(4)
A2.1
321(2)
A2.2
323(1)
A2.3
324(1)
Appendix 3: Limit theorems for mixing random variables 325(8)
A3.1
325(2)
A3.2
327(1)
A3.3
328(5)
Notes and Comments 333(14)
References 347(30)
Index 377