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