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The Borel-Cantelli Lemma

The Borel-Cantelli Lemma
Author: Tapas Kumar Chandra
Publisher: Springer Science & Business Media
Total Pages: 114
Release: 2012-07-04
Genre: Mathematics
ISBN: 8132206770

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This monograph provides an extensive treatment of the theory and applications of the celebrated Borel-Cantelli Lemma. Starting from some of the basic facts of the axiomatic probability theory, it embodies the classical versions of these lemma, together with the well known as well as the most recent extensions of them due to Barndorff-Nielsen, Balakrishnan and Stepanov, Erdos and Renyi, Kochen and Stone, Petrov and the present author. The versions of the second Borel-Cantelli Lemma for pair wise negative quadrant dependent sequences, weakly *-mixing sequences, mixing sequences (due to Renyi) and for many other dependent sequences are all included. The special feature of the book is a detailed discussion of a strengthened form of the second Borel-Cantelli Lemma and the conditional form of the Borel-Cantelli Lemmas due to Levy, Chen and Serfling. All these results are well illustrated by means of many interesting examples. All the proofs are rigorous, complete and lucid. An extensive list of research papers, some of which are forthcoming, is provided. The book can be used for a self study and as an invaluable research reference on the present topic.


The Borel-Cantelli Lemmas, and Their Relationship to Limit Superior and Limit Inferior of Sets (or, Can a Monkey Really Type Hamlet?)

The Borel-Cantelli Lemmas, and Their Relationship to Limit Superior and Limit Inferior of Sets (or, Can a Monkey Really Type Hamlet?)
Author: Anant Godbole
Publisher:
Total Pages: 0
Release: 2022
Genre: Electronic books
ISBN:

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The purpose of this chapter is to show that if a monkey types infinitely, Shakespeare,Äôs Hamlet and any other works one may wish to add to the list will each be typed, not once, not twice, but infinitely often with a probability of 1. This dramatic fact is a simple consequence of the Borel-Cantelli lemma and will come as no surprise to anyone who has taken a graduate-level course in Probability. The proof of this result, however, is quite accessible to anyone who has but a rudimentary understanding of the concept of independence, together with the notion of limit superior and limit inferior of a sequence of sets.


A Generalization of the Borel-Cantelli Lemma

A Generalization of the Borel-Cantelli Lemma
Author: Arthur David Tsakok
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN:

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An extension of the Borel-Cantelli lemma to the case of dependent events occurring infinitely often with probability one is carried out. Applications in establishing a converse to the Strong Law of Large Numbers, and in estimating distribution means are given.


Probability

Probability
Author: Rick Durrett
Publisher: Cambridge University Press
Total Pages:
Release: 2010-08-30
Genre: Mathematics
ISBN: 113949113X

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This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.


An Introduction to Measure Theory

An Introduction to Measure Theory
Author: Terence Tao
Publisher: American Mathematical Soc.
Total Pages: 206
Release: 2021-09-03
Genre: Education
ISBN: 1470466406

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This is a graduate text introducing the fundamentals of measure theory and integration theory, which is the foundation of modern real analysis. The text focuses first on the concrete setting of Lebesgue measure and the Lebesgue integral (which in turn is motivated by the more classical concepts of Jordan measure and the Riemann integral), before moving on to abstract measure and integration theory, including the standard convergence theorems, Fubini's theorem, and the Carathéodory extension theorem. Classical differentiation theorems, such as the Lebesgue and Rademacher differentiation theorems, are also covered, as are connections with probability theory. The material is intended to cover a quarter or semester's worth of material for a first graduate course in real analysis. There is an emphasis in the text on tying together the abstract and the concrete sides of the subject, using the latter to illustrate and motivate the former. The central role of key principles (such as Littlewood's three principles) as providing guiding intuition to the subject is also emphasized. There are a large number of exercises throughout that develop key aspects of the theory, and are thus an integral component of the text. As a supplementary section, a discussion of general problem-solving strategies in analysis is also given. The last three sections discuss optional topics related to the main matter of the book.


On the Borel-Cantelli Lemma

On the Borel-Cantelli Lemma
Author: Harry Cohn
Publisher:
Total Pages: 24
Release: 1971
Genre: Borel-Cantelli lema
ISBN:

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Probability Space

Probability Space
Author: Nancy Kress
Publisher: Macmillan
Total Pages: 372
Release: 2004-01-05
Genre: Fiction
ISBN: 9780765345141

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Nancy Kress cemented her reputation in SF with the publication of her multiple-award–winning novella, “Beggars in Spain,” which became the basis for her extremely successful Beggars Trilogy (comprising Beggars in Spain, Beggars and Choosers, and Beggars Ride). And now she brings us Probability Space, the conclusion of the trilogy that began with Probability Moon and then Probability Sun, which is centered on the same world as Kress’s Nebula Award-winning novelette, “Flowers of Aulit Prison.” The Probability Trilogy has already been widely recognized as the next great work by this important SF writer. In Probability Space, humanity’s war with the alien Fallers continues, and it is a war we are losing. Our implacable foes ignore all attempts at communication, and they take no prisoners. Our only hope lies with an unlikely coalition: Major Lyle Kaufman, retired warrior; Marbet Grant, the Sensitive who’s involved with Kaufman; Amanda, a very confused fourteen-year-old girl; and Magdalena, one of the biggest power brokers in all of human space. As the action moves from Earth to Mars to the farthest reaches of known space, with civil unrest back home and alien war in deep space, four humans--armed with little more than an unproven theory--try to enter the Fallers’ home star system. It’s a desperate gamble, and the fate of the entire universe may hang in the balance.


Principles of Random Walk

Principles of Random Walk
Author: Frank Spitzer
Publisher: Springer Science & Business Media
Total Pages: 419
Release: 2013-03-14
Genre: Mathematics
ISBN: 1475742290

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This book is devoted exclusively to a very special class of random processes, namely, to random walk on the lattice points of ordinary Euclidian space. The author considers this high degree of specialization worthwhile because the theory of such random walks is far more complete than that of any larger class of Markov chains. Almost 100 pages of examples and problems are included.


Measures, Integrals and Martingales

Measures, Integrals and Martingales
Author: René L. Schilling
Publisher: Cambridge University Press
Total Pages: 404
Release: 2005-11-10
Genre: Mathematics
ISBN: 9780521850155

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This book, first published in 2005, introduces measure and integration theory as it is needed in many parts of analysis and probability.


Probability: A Graduate Course

Probability: A Graduate Course
Author: Allan Gut
Publisher: Springer Science & Business Media
Total Pages: 617
Release: 2006-03-16
Genre: Mathematics
ISBN: 0387273328

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This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales.