Essential Mathematics for Economic Analysis, 7th edition

Published by Pearson (18 June 2026) © 2026

  • Knut Sydsaeter University of Oslo
  • Peter Hammond Stanford University
  • Arne Strom University of Oslo
  • Andrés Carvajal
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£38.99
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In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Currently unavailable

Products list
£38.99
Instant access

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Currently unavailable

Title overview

Designed to equip Economics students with mathematics skills and techniques.

Essential Mathematics for Economic Analysis is a global bestseller offering a comprehensive, intermediate-level introduction to the math tools needed for economics. Praised by lecturers for its breadth, it moves from elementary calculus to advanced topics, with abundant worked examples, exercises, and economic applications to build skills and show real-world relevance. Features include clear visualizations of calculations and graphs and end-of-chapter review exercises to check progress.

This edition comes with a free Companion Website containing solutions to exercises in the book.

Table of contents

I PRELIMINARIES

  1. 1 Essentials of Logic and Set Theory
  2. 2 Algebra
  3. 3 Solving Equations
  4. 4 Functions of One Variable
  5. 5 Properties of Functions

II SINGLE-VARIABLE CALCULUS

  1. 6 Differentiation
  2. 7 Derivatives in Use
  3. 8 Concave and Convex Functions
  4. 9 Optimization
  5. 10 Integration
  6. 11 Topics in Finance and Dynamics

III MULTI-VARIABLE ALGEBRA

  1. 12 Matrix Algebra
  2. 13 Determinants, Inverses, and Quadratic Forms

IV MULTI-VARIABLE CALCULUS

  1. 14 Multivariable Functions
  2. 15 Partial Derivatives in Use
  3. 16 Multiple Integrals

V MULTI-VARIABLE OPTIMIZATION

  1. 17 Unconstrained Optimization
  2. 18 Equality Constraints
  3. 19 Linear Programming
  4. 20 Nonlinear Programming

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