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Counterexamples in Probability and Real Analysis by Gary L. Wise – Oxford University Press hardcover book
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Counterexamples in Probability and Real Analysis by Gary L. Wise – A Comprehensive Guide to Mathematical Counterexamples

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Product Description

Introduction

For students and researchers navigating the intricate terrain of probability and real analysis, intuition can often be a misleading guide. Counterexamples in Probability and Real Analysis by Gary L. Wise offers a rigorous and eye-opening journey through the subtle pitfalls and surprising twists that lie at the heart of these mathematical disciplines. Published by Oxford University Press, this hardcover volume is an indispensable resource for anyone seeking to deepen their understanding beyond textbook theorems and into the nuanced reality of mathematical truth.

Book Overview

This monograph is a unique and powerful collection that systematically challenges commonly held beliefs and intuitive assumptions in both probability theory and real analysis. Unlike standard textbooks that present a linear progression of proofs and corollaries, this work focuses on the exceptions—the counterexamples that reveal the hidden boundaries of mathematical statements. With over 300 self-contained examples, the book bridges the gap between abstract theory and concrete understanding, making it an essential companion for graduate students, academics, and practicing mathematicians. The author argues convincingly that probability and real analysis are inseparable, and this volume reflects that philosophy by presenting examples that draw on both fields simultaneously.

Key Highlights

  • Over 300 original and curated counterexamples that illuminate complex concepts in probability and real analysis.
  • Completely self-contained examples—each counterexample is presented with full context, making it easy to study independently.
  • Bridges probability and real analysis, reflecting the deep interconnection between the two fields.
  • Many examples are new, while older, hard-to-find counterexamples are made accessible for the first time.
  • Rigorous yet accessible—suitable for advanced undergraduate and graduate-level study.
  • Hardcover binding from Oxford University Press, ensuring durability for frequent reference.

Inside the Book

The book is structured to guide readers through a wide spectrum of topics, with each counterexample carefully explained. The examples range from basic paradoxes that challenge first impressions to sophisticated constructions that test the limits of advanced theory. Every counterexample is presented with a clear statement, a detailed explanation, and often a reference to its place in the broader mathematical literature. The author’s approach is to let the counterexamples speak for themselves, allowing readers to develop a deeper, more nuanced intuition by confronting the unexpected head-on. The book does not assume prior familiarity with the specific examples, making it a valuable self-study tool.

Key Topics

  • Measure theory and integration: counterexamples involving Lebesgue measure, measurable functions, and convergence.
  • Probability spaces: examples that break standard assumptions about independence, conditional expectation, and martingales.
  • Convergence concepts: almost sure convergence, convergence in probability, and distribution—and their surprising relationships.
  • Continuity and differentiability of functions: pathological functions that defy intuition.
  • Topological and metric space counterexamples relevant to analysis.
  • Stochastic processes and limit theorems: counterexamples that highlight the boundaries of classical results.

Reader Benefits

  • Sharpen your mathematical intuition by learning where common sense fails.
  • Strengthen your proof-writing skills by understanding the exceptions that test the limits of theorems.
  • Save hours of research time—many counterexamples are gathered here for the first time in one accessible volume.
  • Gain a deeper appreciation for the subtleties that separate elementary understanding from advanced mastery.
  • Ideal for exam preparation and for developing a more critical approach to mathematical statements.

Learning Outcomes

By working through this book, readers will develop the ability to critically evaluate mathematical claims, identify hidden assumptions, and construct their own counterexamples. They will gain a robust understanding of the boundaries of key theorems in probability and real analysis, and learn to approach problems with a healthy skepticism that is essential for advanced research. The book also fosters a deeper connection between abstract theory and practical application, preparing students for rigorous academic work in mathematics, statistics, and related fields.

Who Should Read

This book is ideal for graduate students and advanced undergraduates in mathematics, statistics, physics, and engineering who have a solid foundation in real analysis and probability. It is also a valuable reference for professors, researchers, and professionals who teach or apply these subjects. Anyone who has ever wondered, “But what if the theorem doesn’t hold?” will find this book a treasure trove of insight.

About the Author

Gary L. Wise is a respected mathematician known for his work in probability theory and analysis. His expertise in crafting and collecting counterexamples has made this book a classic in its field. With a keen eye for the surprising and the instructive, Wise has created a resource that continues to enlighten and challenge readers across the globe.

About the Publisher

Oxford University Press is a world-renowned academic publisher with a rich history of producing authoritative texts in science, mathematics, and the humanities. This hardcover edition reflects OUP’s commitment to quality and scholarly excellence, making it a trusted addition to any serious library.

Conclusion

Counterexamples in Probability and Real Analysis is not just a collection of oddities—it is a powerful educational tool that transforms the way we think about mathematics. By confronting the exceptions, readers build a stronger, more resilient understanding of the rules. Whether you are a student preparing for advanced study or a seasoned researcher seeking to expand your horizons, this book is an invaluable companion. Order your copy from Bookshops.in today and take your mathematical journey to the next level.

Quick Summary

Counterexamples in Probability and Real Analysis by Gary L. Wise is a comprehensive monograph that presents over 300 counterexamples at the intersection of two foundational mathematical fields. The book is designed for graduate students, researchers, and educators who already have a solid grounding in probability and real analysis. Each counterexample is carefully explained, helping readers understand the limits of theorems and develop a more nuanced mathematical intuition. Topics range from measure theory and convergence to limit theorems and random variables. This book is particularly valuable for those preparing for advanced research or teaching, as it challenges commonly held beliefs and clarifies subtle concepts. Published by Oxford University Press, it is a trusted resource in the mathematical community. By purchasing from Bookshops.in, Indian customers receive a genuine, high-quality print edition with reliable delivery and customer support. This book is an essential addition to any serious mathematician's library.

Book Highlights

Over 300 counterexamples bridging probability and real analysis
Clarifies subtle concepts that are often misunderstood
Ideal for graduate students and researchers in mathematics
Published by Oxford University Press, a trusted academic publisher
Helps build rigorous mathematical intuition
Covers measure theory, convergence, and limit theorems
Unique focus on the intersection of two core mathematical fields
Each counterexample is clearly explained and contextualized
Useful for self-study or as a supplement to standard textbooks
Encourages critical thinking and deeper understanding
Includes both classical and original examples
Suitable for advanced undergraduate and graduate courses
Provides insights into the boundaries of mathematical theorems
A valuable reference for any mathematical sciences library

Book Specifications

ISBN-139780195070682
ISBN-100195070682
Publisher‎ Oxford Univ Pr on Demand
Language‎ English
Dimensions‎ 17.63 x 1.85 x 23.16 cm
Weight‎ 476 g
CategoryMathematics › Calculus
GenreNon-fiction
Original LanguageEnglish

Frequently Asked Questions

What is a counterexample in mathematics?
A counterexample is a specific instance that disproves a general statement or shows the limits of a theorem. This book collects such examples for probability and real analysis.
Who is the author of this book?
The author is Gary L. Wise, a mathematician known for his work in probability and analysis.
Is this book suitable for beginners?
No, it is designed for advanced undergraduate and graduate students who already have a foundation in probability and real analysis.
How many counterexamples does the book contain?
Over 300 counterexamples are presented in this monograph.
What topics are covered?
Topics include measure theory, convergence, limit theorems, random variables, continuity, differentiation, integration, and more.
Can this book be used for self-study?
Yes, it can be used as a supplementary resource for self-study or alongside standard textbooks.
Who is the publisher?
Oxford University Press.
What is the ISBN-13?
9780195070682.
What is the price in India?
The price is ₹5414.
Is this book available in digital format?
This listing is for the physical print book only.
How does this book help in understanding probability?
By presenting counterexamples, it clarifies subtle points and helps readers avoid common misconceptions.
Is this book suitable for Indian students?
Yes, it is ideal for Indian graduate students and researchers in mathematics and related fields.
What makes this book unique?
Its focus on the intersection of probability and real analysis, with over 300 carefully chosen counterexamples.
Can I use this book for teaching?
Yes, educators will find it a valuable source of examples to illustrate complex concepts.

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