ISBN: 9780521133128 - random matrices: high dimensional phenomena (london mathematical society lecture note, 367, band 367) (10 Ergebnisse)

Zustand: New.

Paperback. Zustand: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price. …

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts. Series: London Mathematical Society Lecture Note Series. Num Pages: 448 pages, 75 exercises. BIC Classification: PBF; PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 153 x 23. Weight in Grams: 630. . 2009. 1st Edition. paperback. . . . . …

Zustand: New.

Zustand: New. In English.

Paperback. Zustand: Brand New. 1st edition. 437 pages. 9.00x6.00x1.00 inches. In Stock.

Zustand: New. An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts. Series: London Mathematical Society Lecture Note Series. Num Pages: 448 pages, 75 exercises. BIC Classification: PBF; PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 227 x 153 x 23. Weight in Grams: 630. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differential equations, so as to be accessible to graduate students and other non-experts. The introductory chapters review material on Lie groups and probability measures in a style suitable for applications in random matrix theory. Later chapters use modern convexity theory to establish subtle results about the convergence of eigenvalue distributions as the size of the matrices increases. Random matrices are viewed as geometrical objects with large dimension. The book analyzes the concentration of measure phenomenon, which describes how measures behave on geometrical objects with large dimension. To prove such results for random matrices, the book develops the modern theory of optimal transportation and proves the associated functional inequalities involving entropy and information. These include the logarithmic Sobolev inequality, which measures how fast some physical systems converge to equilibrium.…