Title
Stochastic Analysis on Manifolds (Graduate Studies in Mathematics),New
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Mainly from the perspective of a probabilist, Hsu shows how stochastic analysis and differential geometry can work together for their mutual benefit. He writes for researchers and advanced graduate students with a firm foundation in basic euclidean stochastic analysis, and differential geometry. He does not include the exercises usual to such texts, but does provide proofs throughout that invite readers to test their understanding. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Stochastic Analysis on Manifolds'? A: The book primarily explores the interplay between stochastic analysis and differential geometry, offering insights from a probabilist's perspective.
- Q: Who is the intended audience for this book? A: This book is designed for researchers and advanced graduate students who have a solid foundation in basic Euclidean stochastic analysis and differential geometry.
- Q: Does this book include exercises for practice? A: No, the author does not include exercises typically found in similar texts; however, proofs are provided to help readers test their understanding.
- Q: What is the condition of the book being sold? A: The book is being sold as a 'Used Book in Good Condition,' indicating it is in satisfactory shape for reading and study.
- Q: What is the binding type of this book? A: The book is bound in hardcover, providing durability and a professional appearance.
- Q: How many pages does 'Stochastic Analysis on Manifolds' contain? A: The book contains a total of 281 pages.
- Q: When was 'Stochastic Analysis on Manifolds' published? A: The book was published on February 5, 2002.
- Q: Who is the author of this book? A: The author of 'Stochastic Analysis on Manifolds' is Elton P. Hsu.
- Q: What category does this book belong to? A: This book is categorized under 'Study & Teaching'.
- Q: Can this book benefit someone interested in both probability and geometry? A: Yes, the book is particularly beneficial for those interested in the intersection of probability theory and geometry, highlighting their mutual benefits.