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Distributions: Theory and Applications (Cornerstones),New
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This textbook is an applicationoriented introduction to the theory of distributions, a powerful tool used in mathematical analysis. The treatment emphasizes applications that relate distributions to linear partial differential equations and Fourier analysis problems found in mechanics, optics, quantum mechanics, quantum field theory, and signal analysis. The book is motivated by many exercises, hints, and solutions that guide the reader along a path requiring only a minimal mathematical background.
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- Q: What is the main topic of 'Distributions: Theory and Applications (Cornerstones)'? A: The book primarily discusses the theory of distributions, also known as generalized functions, and their applications in modern analysis.
- Q: Who is the author of this book? A: The author of 'Distributions: Theory and Applications (Cornerstones)' is J.J. Duistermaat.
- Q: When was 'Distributions: Theory and Applications (Cornerstones)' published? A: The book was published on August 17, 2010.
- Q: What is the binding type of this book? A: The book is available in hardcover binding.
- Q: How many pages does 'Distributions: Theory and Applications (Cornerstones)' have? A: The book contains a total of 461 pages.
- Q: Is this book suitable for beginners in the field of differential equations? A: While the book addresses advanced concepts, it may be beneficial for readers with a foundational understanding of differential equations.
- Q: What is the condition of the book? A: The book is classified as 'New', indicating it is in pristine condition.
- Q: What category does this book fall under? A: 'Distributions: Theory and Applications (Cornerstones)' is categorized under Differential Equations.
- Q: Does this book include illustrations or diagrams? A: The product details do not specify illustrations or diagrams, but it typically features mathematical concepts that may include visual aids.
- Q: What makes this book significant in the study of distributions? A: The book presents a comprehensive overview of distribution theory, illustrating its relevance and application in various mathematical contexts, which has revolutionized modern analysis.