It takes the average reader 10 hours and 37 minutes to read Eigenvalue Distribution of Large Random Matrices by Leonid Andreevich Pastur
Assuming a reading speed of 250 words per minute. Learn more
Random matrix theory is a wide and growing field with a variety of concepts, results, and techniques and a vast range of applications in mathematics and the related sciences. The book, written by well-known experts, offers beginners a fairly balanced collection of basic facts and methods (Part 1 on classical ensembles) and presents experts with an exposition of recent advances in the subject (Parts 2 and 3 on invariant ensembles and ensembles with independent entries). The text includes many of the authors' results and methods on several main aspects of the theory, thus allowing them to present a unique and personal perspective on the subject and to cover many topics using a unified approach essentially based on the Stieltjes transform and orthogonal polynomials. The exposition is supplemented by numerous comments, remarks, and problems. This results in a book that presents a detailed and self-contained treatment of the basic random matrix ensembles and asymptotic regimes. This book will be an important reference for researchers in a variety of areas of mathematics and mathematical physics. Various chapters of the book can be used for graduate courses; the main prerequisite is a basic knowledge of calculus, linear algebra, and probability theory.
Eigenvalue Distribution of Large Random Matrices by Leonid Andreevich Pastur is 632 pages long, and a total of 159,264 words.
This makes it 213% the length of the average book. It also has 195% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 14 hours and 30 minutes to read Eigenvalue Distribution of Large Random Matrices aloud.
Eigenvalue Distribution of Large Random Matrices is suitable for students ages 12 and up.
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