Classical Potential Theory and Its Probabilistic Counterpart (Classics in Mathematics)
Our rough guess is there are 211,500 words in this book.
At a pace averaging 250 words per minute, this book will take 14 hours and 6 minutes to read. With a half hour per day, this will take 28 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Word Count
211,500 words, Guess
Page Count
846 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL9057107M
- ISBN-139783540412069
- ISBN-103540412069
- OCLC Control Numberclassicalpotenti00doob
- Library of Congress Control Number00052271
and 2 more
- Goodreads3070731
- LibraryThing1450014
Classifications
- LCCQA404.7-405
Description
From the reviews: "This huge book written in several years by one of the few mathematicians able to do it, appears as a precise and impressive study (not very easy to read) of this bothsided question that replaces, in a coherent way, without being encyclopaedic, a large library of books and papers scattered without a uniform language. Instead of summarizing the author gives his own way of exposition with original complements. This requires no preliminary knowledge. ...The purpose which the author explains in his introduction, i.e. a deep probabilistic interpretation of potential theory and a link between two great theories, appears fulfilled in a masterly manner". M. Brelot in Metrika (1986)
First Sentence
The unweighted average of a function u over B( ) and over B( ) will be denoted by L( ) and A( ), respectively; that is assuming that the necessary measurability and integrability conditions are satisfied.
Subjects
Topics
Similar Books
Several complex variables II: function theory in classical domains : complex potential theory
G.M. Khenkin, A.G. Vitushkin (eds.).
Stochastic integration and differential equations: a new approach
Philip Protter.
Workshop Statistics: Discovery with Data and Minitab and Minitab R14 Set
Beth L. Chance, Allan J. Rossman, Beth Chance
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!