Strong Uniformity And Large Dynamical Systems

Strong Uniformity And Large Dynamical Systems

by Jozsef Beck
ISBN-10:
9814740748
ISBN-13:
9789814740746
Pub. Date:
08/23/2017
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9814740748
ISBN-13:
9789814740746
Pub. Date:
08/23/2017
Publisher:
World Scientific Publishing Company, Incorporated
Strong Uniformity And Large Dynamical Systems

Strong Uniformity And Large Dynamical Systems

by Jozsef Beck
$166.0
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Overview

It is the first book about a new aspect of Uniform distribution, called Strong Uniformity. Besides developing the theory of Strong Uniformity, the book also includes novel applications in the underdeveloped field of Large Dynamical Systems.

Product Details

ISBN-13: 9789814740746
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 08/23/2017
Pages: 460
Product dimensions: 6.20(w) x 9.10(h) x 1.20(d)

Table of Contents

Preface v

Chapter 1 From Uniform Distribution to the Time-Evolution of Large Off-Equilibrium Systems 1

1 Traditional Uniform Distribution and Weyl's Criterion 1

2 Strong Uniformity 11

3 High-Dimensional Configuration Space of Large Systems and Unrealistic Time Scale 22

4 Dimension-Free Strong Uniformity on a Realistic Time Scale 39

5 Rapid Approach and Long-Term Stability of Square-Root Equilibrium 45

6 Non-ergodic Time-flow: Closed Orbit Spherical Systems 56

7 Closed Orbit Polar Systems 69

8 Snapshot Randomness (I): Poisson 84

9 Proofs of Theorems 4.2 and 4.3 96

Chapter 2 General Models 119

10 General Model: Unique Ergodicity via Typical Rotations 119

11 Asymptotic Time-Lapse Randomness 137

12 Short-Term Time-Lapse Randomness: Multiple Mixedupness (I) 149

13 Extensions of Theorem 4.2 beyond the Gaussian Case 170

14 Extensions of Theorem 4.2 to Nonlinear Curves on the Plane 188

Chapter 3 More Applications of Theorem 4.2 205

15 Snapshot Randomness (II): Central Limit Theorem 205

16 Snapshot Randomness (III) Case of Closed Orbits 216

17 Time-Lapse Randomness vs. Snapshot Randomness (I): A Fundamental Difference 231

18 Time-Lapse Randomness vs. Snapshot Randomness (II): A Fundamental Difference 240

19 CLT Time-Lapse Randomness: Upper Bound 246

Chapter 4 More Results about Randomness and Stability in Equilibrium 259

20 Simultaneous Square-Root Equilibrium Relative to Nice Sets (I) 259

21 Simultaneous Square-Root Equilibrium Relative to Nice Sets (II) 271

22 Simultaneous Square-Root Equilibrium Relative to Nice Sets (III) 283

23 On the Square-Root Logarithmic Threshold in the Gaussian Case 295

24 Beyond the Applications of Theorem 4.2 306

25 The Case of Singular Underlying Measure 316

Chapter 5 More Proofs 325

26 Proof of Theorem 4.1 325

27 Starting the Proofs of Theorems 13.1-13.4 335

28 Completing the Proof of Lemma 27.2 348

29 Finishing the Proofs of Theorems 13.1-13.4 359

30 Starting the Proof of Theorem 14.1 367

31 Finishing the Proof of Theorem 14.1 381

32 Proof of Theorem 14.2 392

33 Multiple Mixedupness (II): Proof of Lemma 12.2 405

34 Multiple Mixedupness (III): Proof of Theorem 12.2 420

References 437

Index 439

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