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E-raamat: Inevitable Randomness in Discrete Mathematics

  • Formaat: 250 pages
  • Sari: University Lecture Series
  • Ilmumisaeg: 09-Jan-2009
  • Kirjastus: American Mathematical Society
  • ISBN-13: 9781470416447
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  • Formaat: 250 pages
  • Sari: University Lecture Series
  • Ilmumisaeg: 09-Jan-2009
  • Kirjastus: American Mathematical Society
  • ISBN-13: 9781470416447

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Mathematics has been called the science of order. The subject is remarkably good for generalizing specific cases to create abstract theories. However, mathematics has little to say when faced with highly complex systems, where disorder reigns. This disorder can be found in pure mathematical arenas, such as the distribution of primes, the 3n 1 conjecture, and class field theory. The purpose of this book is to provide examples - and rigorous proofs - of the complexity law: discrete systems are either simple or they exhibit advanced pseudorandomness; a priori probabilities often exist even when there is no intrinsic symmetry. Part of the difficulty in achieving this purpose is in trying to clarify these vague statements. The examples turn out to be fascinating instances of deep or mysterious results in number theory and combinatorics. This book considers randomness and complexity. The traditional approach to complexity - computational complexity theory - is to study very general complexity classes, such as P, NP and PSPACE. What Beck does is very different: he studies interesting concrete systems, which can give new insights into the mystery of complexity. The book is divided into three parts. Part A is mostly an essay on the big picture. Part B is partly new results and partly a survey of real game theory. Part C contains new results about graph games, supporting the main conjecture. To make it accessible to a wide audience, the book is mostly self-contained.
Preface ix
Part A. Reading the shadows on the wall and formulating a vague conjecture
1(66)
Complex systems
3(10)
Order and Disorder
3(1)
Ideal gases and the Equiprobability Postulate
4(2)
Apparent randomness of primes and the Riemann Hypothesis
6(4)
Zoo of zeta-functions
10(3)
Collecting data: Apparent randomness of digit sequences
13(8)
Normal numbers
13(1)
Continued fraction
14(2)
Equidistribution and continued fraction
16(1)
More on continued fraction and diophantine approximation
17(4)
Collecting data: More randomness in number theory
21(16)
The Twin Prime Conjecture and Independence
21(2)
Finite fields and the congruence Riemann Hypothesis
23(1)
Randomness in the two classical lattice point counting problems
24(3)
The 3n + 1 Conjecture
27(1)
Primes represented by individual quadratic forms
28(6)
Continued fraction: The length of the period for quadratic irrationals
34(3)
Laplace and the Principle of Insufficient Reason
37(12)
Introduction
37(3)
Randomness and Probability
40(3)
Complexity and randomness of individual sequences
43(1)
Formulating a vague probabilistic conjecture
44(3)
Limitations of the SLG Conjecture
47(2)
Collecting proofs for the SLG Conjecture
49(18)
When independence is more or less plausible
49(4)
Another Central Limit Theorem: ``Randomness of the square root of 2''
53(5)
Problems without apparent independence: Inevitable irregularities---an illustration of the Solid-Liquid-Gas Conjecture
58(9)
Part B. More evidence for the SLG Conjecture: Exact solutions in real game theory
67(96)
Ramsey Theory and Games
69(20)
The usual quick jump from easy to hard
69(2)
A typical hard problem: Ramsey Numbers. A case of Inaccessible Data
71(3)
Another hard problem: Ramsey Games
74(2)
Weak Ramsey Games: Here we know the right order of magnitude!
76(1)
Proof of the lower bound in (6.10)
77(4)
An interesting detour: Extremal Hypergraphs of the Erdos-Selfridge theorem and the Move Number
81(5)
Concluding note on off-diagonal Ramsey Numbers
86(3)
Practice session (I): More on Ramsey Games and strategies
89(10)
Halving strategy
89(3)
Switching to the complete bipartite graph Kn, l. Completing the proof of (6.10)
92(1)
Understanding the threshold in (6.10). Random Play Intuition
93(1)
Move Number
94(2)
An interesting detour: Game vs. Ramsey
96(3)
Practice session (II): Connectivity games and more strategies
99(12)
Lehman's theorem
99(2)
Erdos's random graph intuition
101(1)
Forcing isolated points
102(1)
The Chvatal-Erdos proof: Quick greedy building
103(3)
Slow building via blocking: The Transversal Hypergraph Method
106(2)
Proof of Proposition 8.3
108(3)
What kind of games?
111(12)
Introduction
111(2)
The Tic-Tac-Toe family
113(4)
Where is the breaking point from draw to win? A humiliating gap in our knowledge!
117(1)
First simplification: Replacing ordinary Win with Weak Win
118(5)
Exact solutions of games: Understanding via the Equiprobability Postulate
123(12)
Another simplification: Switching from Maker-Breaker games to Cut-and-Choose games
123(2)
Sim and other Clique Games on graphs
125(1)
The concentration of random variables in general
126(3)
How does the Equiprobability Postulate enter real game theory?
129(4)
Rehabilitation of Laplace?
133(2)
Equiprobability Postulate with Constraints (Endgame Policy)
135(12)
Introduction
135(1)
Modifying the Equiprobability Postulate with an Endgame Policy
136(2)
Going back to 1-dimensional goals
138(1)
Finding the correct form of the Biased Weak Win Conjecture when Maker is the topdog
139(3)
Coalition Games
142(1)
Vague Equiprobability Conjecture
143(2)
Philosophical speculations on a probabilistic paradigm
145(2)
Constraints and Threshold Clustering
147(8)
What are the constraints of ordinary win? What are the constraints of Ramsey Theory?
147(4)
Delicate win or delicate draw? A wonderful question!
151(1)
Threshold Clustering
152(3)
Threshold Clustering and a few bold conjectures
155(8)
Examples
155(6)
What to do next? Searching for simpler problems
161(2)
Part C. New evidence: Games and Graphs, the Surplus, and the Square Root Law
163(82)
Yet another simplification: Sparse hypergraphs and the Surplus
165(12)
Row-Column Games
165(4)
Exact solutions
169(2)
The Core-Density and the Surplus
171(2)
Remarks
173(1)
Regular graphs---local randomness
174(1)
How sharp is Theorem 1?
175(2)
Is Surplus the right concept? (I)
177(8)
Socialism does work on graphs!
177(2)
Do-It-First Lead
179(1)
Monopoly
179(1)
Shutout
180(3)
Inevitable Shutout
183(2)
Is Surplus the right concept? (II)
185(8)
The Move Number
185(3)
Discrepancy and variance
188(1)
Summary
189(4)
Working with a game-theoretic Partition Function
193(10)
Introduction
193(2)
The lower bound
195(2)
Some underdog versions of Proposition 17.3
197(6)
An attempt to save the Variance
203(6)
Introduction
203(1)
An alternative approach
204(5)
Proof of Theorem 1: Combining the variance with an exponential sum
209(10)
Defining a complicated potential function
209(3)
Global balancing
212(3)
Average argument
215(4)
Proof of Theorem 2: The upper bound
219(8)
Can we use the Local Lemma in games?
219(1)
Danger function: Big-Game & small-game decomposition
220(7)
Conclusion (I): More on Theorem 1
227(10)
Threshold Clustering: Generalizations of Theorem 1
227(3)
When threshold clustering fails: Shutout games
230(3)
Last remark about Theorem 1
233(4)
Conclusion (II): Beyond the SLG Conjecture
237(8)
Wild speculations: Is it true that most unrestricted do-it-first games are unknowable?
237(3)
Weak Win and Infinite Draw
240(5)
Dictionary of the Phrases and Concepts 245(2)
References 247