Foundations Of Mathematical Economics (Mit Press),New

Foundations Of Mathematical Economics (Mit Press),New

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This Book Provides A Comprehensive Introduction To The Mathematical Foundations Of Economics, From Basic Set Theory To Fixed Point Theorems And Constrained Optimization. Rather Than Simply Offer A Collection Of Problemsolving Techniques, The Book Emphasizes The Unifying Mathematical Principles That Underlie Economics. Features Include An Extended Presentation Of Separation Theorems And Their Applications, An Account Of Constraint Qualification In Constrained Optimization, And An Introduction To Monotone Comparative Statics. These Topics Are Developed By Way Of More Than 800 Exercises. The Book Is Designed To Be Used As A Graduate Text, A Resource For Selfstudy, And A Reference For The Professional Economist.

⚠️ WARNING (California Proposition 65):

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: How many pages are in 'Foundations of Mathematical Economics'? A: There are three hundred sixty-five pages in this book. It provides an extensive exploration of mathematical economics.
  • Q: What is the binding type of this book? A: This book is available in paperback binding. This makes it lightweight and portable for easy reading.
  • Q: What are the dimensions of the book? A: The book measures eight point nine eight inches in length, seven point one inches in width, and one point two six inches in height. These dimensions make it suitable for easy handling.
  • Q: What level of mathematics is required to understand this book? A: This book is designed for graduate-level students. It covers advanced topics in mathematical economics, making it suitable for those with a solid math background.
  • Q: Is this book suitable for self-study? A: Yes, this book is an excellent resource for self-study. It includes over eight hundred exercises to reinforce understanding.
  • Q: What topics does 'Foundations of Mathematical Economics' cover? A: The book covers topics like set theory, fixed point theorems, and constrained optimization. It emphasizes the unifying principles of economics.
  • Q: How can I use this book for reference? A: You can use this book as a reference for professional economic work. Its comprehensive content serves as a valuable resource for economists.
  • Q: Are there exercises in the book? A: Yes, there are more than eight hundred exercises included. These exercises help reinforce the material presented in the book.
  • Q: What is the main focus of the book? A: The main focus is on the mathematical foundations of economics. It aims to provide a deep understanding of the concepts rather than just problem-solving techniques.
  • Q: Who is the author of 'Foundations of Mathematical Economics'? A: The author of this book is Michael Carter. He is known for emphasizing the mathematical principles in economics.
  • Q: What genre does this book belong to? A: This book belongs to the genre of mathematical economics. It integrates advanced mathematics with economic theory.
  • Q: Is this book appropriate for beginners? A: No, this book is not recommended for beginners. It is more suited for those who have a background in graduate-level mathematics.
  • Q: Can this book be used in academic courses? A: Yes, it is designed to be used as a graduate textbook. It is suitable for academic courses in mathematical economics.
  • Q: What is the publisher of the book? A: The book is published by MIT Press. This publisher is well-known for its academic and high-quality educational materials.
  • Q: Does the book include real-world applications? A: Yes, it includes applications of the mathematical concepts discussed. The extended presentation of separation theorems illustrates practical uses.
  • Q: What makes this book unique compared to others? A: Its emphasis on unifying mathematical principles over mere techniques makes it unique. It focuses on the foundational understanding of economics.

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