Counterexamples In Probability And Real Analysis

Counterexamples In Probability And Real Analysis

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A Counterexample Is Any Example Or Result That Is The Opposite Of One'S Intuition Or To Commonly Held Beliefs. Counterexamples Can Have Great Educational Value In Illuminating Complex Topics That Are Difficult To Explain In A Rigidly Logical, Written Presentation. For Example, Ideas In Mathematical Sciences That Might Seem Intuitively Obvious May Be Proved Incorrect With The Use Of A Counterexample. This Monograph Concentrates On Counterexamples For Use At The Intersection Of Probability And Real Analysis, Which Makes It Unique Among Such Treatments. The Authors Argue Convincingly That Probability Theory Cannot Be Separated From Real Analysis, And This Book Contains Over 300 Examples Related To Both The Theory And Application Of Mathematics. Many Of The Examples In This Collection Are New, And Many Old Ones, Previously Buried In The Literature, Are Now Accessible For The First Time. In Contrast To Several Other Collections, All Of The Examples In This Book Are Completely Selfcontainedno Details Are Passed Off To Obscure Outside References. Students And Theorists Across Fields As Diverse As Real Analysis, Probability, Statistics, And Engineering Will Want A Copy Of This Book.

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Frequently Asked Questions

  • Q: What is the main focus of 'Counterexamples in Probability and Real Analysis'? A: The book focuses on counterexamples at the intersection of probability and real analysis, providing over 300 unique examples that challenge commonly held beliefs and intuitions in mathematics.
  • Q: Who is the author of this book? A: The book is authored by Gary L. Wise.
  • Q: When was 'Counterexamples in Probability and Real Analysis' published? A: The book was published on October 7, 1993.
  • Q: What type of binding does this book have? A: The book is available in hardcover binding.
  • Q: How many pages does the book contain? A: The book contains 224 pages.
  • Q: Is this book suitable for students and theorists? A: Yes, the book is suitable for students and theorists in fields such as real analysis, probability, statistics, and engineering.
  • Q: Are the examples in the book self-contained? A: Yes, all examples in the book are self-contained and do not require obscure outside references.
  • Q: What educational value does this book provide? A: The book offers significant educational value by using counterexamples to illuminate complex topics in probability and real analysis.
  • Q: Does the book include new examples? A: Yes, the book includes many new examples as well as previously unpublished ones from the literature.
  • Q: What is the edition of this book? A: This book is the first edition.