The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities

J. Michael Steele

ISBN 10: 0521837758 / ISBN 13: 9780521837750

Published by Cambridge University Press, 2004

About this Item

This 2004 book presents a fascinating collection of problems related to the Cauchy-Schwarz inequality and coaches readers through solutions. Num Pages: 318 pages, 35 b/w illus. 161 exercises. BIC Classification: PBK. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 19. Weight in Grams: 556. . 2004. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521837750

Bibliographic Details

Title: The Cauchy-Schwarz Master Class: An ...

Publisher: Cambridge University Press

Publication Date: 2004

Binding: Hardcover

Condition: New

About this title

Synopsis:

This lively, problem-oriented text, first published in 2004, is designed to coach readers toward mastery of the most fundamental mathematical inequalities. With the Cauchy-Schwarz inequality as the initial guide, the reader is led through a sequence of fascinating problems whose solutions are presented as they might have been discovered - either by one of history's famous mathematicians or by the reader. The problems emphasize beauty and surprise, but along the way readers will find systematic coverage of the geometry of squares, convexity, the ladder of power means, majorization, Schur convexity, exponential sums, and the inequalities of Hölder, Hilbert, and Hardy. The text is accessible to anyone who knows calculus and who cares about solving problems. It is well suited to self-study, directed study, or as a supplement to courses in analysis, probability, and combinatorics.

About the Author:

J. Michael Steele is C. F. Koo Professor of Statistics at Wharton School, University of Pennsylvania. He is the author of more than 100 mathematical publications including the books, Probability Theory and Combinatorial Optimization and Stochastic Calculus and Financial Applications. He is also the founding editor of the Annals of Applied Probability.