Book Details

Elementary Real Analysis: A Practical Introduction provides a robust foundation for success in real analysis, presenting traditional material in an accessible, engaging manner with the support of clearly outlined learning objectives and exercises.

Organized into two well-designed sections, the book begins with a comprehensive review of prerequisite knowledge. Section I includes chapters such as “Sets,” “Properties of Real Numbers,” “Properties of Integers,” and “Functions and Relations,” each accompanied by a wealth of exercises that encourage exploration and practice. These chapters lay the foundation for the second section which delves into advanced topics such as sequences, continuity, and differentiation, culminating in a synthesis of concepts that prepares students for further study of mathematical analysis. For easy reference, two appendices entitled “Mathematical Statements” and “Proof Methods” provide the reader with an accessible reference to the essential language and techniques of proof writing.

Whether used in a classroom or for self-directed learning, Elementary Real Analysis: A Practical Introduction is a vital companion for students seeking an introduction to real analysis, bridging the gap between basic principles and advanced mathematical concepts with clarity and precision.

Key Features

• Lays a strong foundation for success in first real analysis courses, presenting traditional material in a contemporary and engaging manner
• Introduces essential concepts and relevant background knowledge with an accessible approach
• Caters to junior and senior undergraduate mathematics students who have completed calculus and linear algebra, as well as early graduate-level students seeking deeper insights
• Fills the gap between basic principles and advanced mathematical concepts, ensuring clarity and precision for transitioning to rigorous analysis
• Includes a variety of exercises in each chapter, promoting exploration and practice of key topics to reinforce understanding and foster independent learning