Title
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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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What are the dimensions of the book? A: The book measures six point nine three inches in length, zero point nine inches in width, and nine point five inches in height.
- Q: How many pages does the book have? A: The book contains two hundred twenty-four pages, providing ample content for readers interested in probability and real analysis.
- Q: What type of binding does the book have? A: The book is bound in hardcover, ensuring durability for frequent use and longevity on your bookshelf.
- Q: Who is the author of the book? A: The author of the book is Gary L. Wise, a knowledgeable figure in the fields of probability and real analysis.
- Q: What topics does this book cover? A: The book focuses on counterexamples in probability and real analysis, making complex topics more accessible through practical examples.
- Q: Is this book suitable for beginners? A: Yes, the book is suitable for beginners, as it provides self-contained examples that do not require extensive background knowledge.
- Q: Can this book help in understanding probability theory? A: Yes, the book effectively illustrates key concepts in probability theory through over three hundred examples, emphasizing real analysis.
- Q: Is this book appropriate for advanced learners? A: Yes, advanced learners can benefit from the book's unique insights and new examples that are relevant to both theory and application.
- Q: How should I store this book? A: Store the book upright on a shelf to prevent damage, ensuring it is kept away from direct sunlight and moisture.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange, often within a specified period.
- Q: Is there a warranty for this book? A: Typically, books do not come with a warranty, but check with the seller for specific return policies or guarantees.
- Q: Can I gift this book to someone? A: Yes, this book makes a great gift for students and professionals interested in mathematics, particularly in probability and real analysis.
- Q: Does this book include exercises or problems? A: The book primarily focuses on providing counterexamples rather than exercises, making it a reference tool for deeper understanding.
- Q: Is this book recommended for engineering students? A: Yes, engineering students can benefit from this book as it covers applications of mathematics relevant to their field.
- Q: How do I keep this book in good condition? A: To maintain the book's condition, avoid bending the spine, keep it away from moisture, and dust it regularly.
- Q: Are there any prerequisites for reading this book? A: While there are no strict prerequisites, a basic understanding of introductory probability and real analysis is beneficial.