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

J. Michael Steele

ISBN 10: 052154677X / ISBN 13: 9780521546775

Published by Cambridge University Press, 2004

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521546775

Bibliographic Details

• Title: The Cauchy-Schwarz Master Class : An Introduction to the Art of Mathematical Inequalities
• Publisher: Cambridge University Press
• Publication Date: 2004
• Language: English
• ISBN 10: 052154677X
• ISBN 13: 9780521546775
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 18D millimeters 229 millimeters width by 152 millimeters height by 18 millimeters depth
• Weight: 463 grams

About this title

Synopsis

Michael Steele describes the fundamental topics in mathematical inequalities and their uses. Using the Cauchy-Schwarz inequality as a guide, Steele presents a fascinating collection of problems related to inequalities and coaches readers through solutions, in a style reminiscent of George Polya, by teaching basic concepts and sharpening problem solving skills at the same time. Undergraduate and beginning graduate students in mathematics, theoretical computer science, statistics, engineering, and economics will find the book appropriate for self-study.

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.