Essential Mathematics for Economic Analysis

Essential Mathematics for Economic Analysis by Knut Sydsaeter


ISBN
9781292359281
Published
Binding
Paperback
Pages
976
Dimensions
190 x 244 x 36mm

Acquire the key mathematical skills you need to master and succeed in economics

Essential Mathematics for Economic Analysis, 6th edition by Sydsaeter, Hammond, Strom and Carvajal is a global best-selling text that provides an extensive introduction to all the mathematical tools your students need to study economics at intermediate level.

This book has been applauded for its scope and covers a broad range of mathematical knowledge, techniques and tools, progressing from elementary calculus to more advanced topics. With a wealth of practice examples, questions and solutions integrated throughout, as well as opportunities to apply them in specific economic situations, this book will help your students develop key mathematical skills as your course progresses.

New to this edition

A new Chapter 8 considers concave and convex functions of one variable, including results on supergradients of concave functions and subgradients of convex functions that play a key role in the theory of optimisation.
A new Chapter 16 on multiple integrals.
Chapter 13 has been extended to include eigenvalues and quadratic forms.
Numerous exercises and worked examples throughout each chapter allow your students to practise skills and improve techniques.
Review exercises at the end of each chapter test your students' understanding of a topic, before they progress with confidence.
Matrix algebra is introduced earlier in this edition and now precedes the chapter on multivariate calculus. This allows new tools to be used in the treatment of multivariate calculus and in the last four chapters, now devoted exclusively to optimisation.
The chapter on constrained optimisation has been divided to form two new chapters: Chapters 18 & 20.
Solutions to exercises are provided in the book and online, breaking down the steps needed to arrive at the correct answer
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