The authority of this textbook is rooted in its authors, who bring together expertise from both mathematics and economics. This dual perspective is a central reason for the book's lasting success.

Economics is often defined as the study of allocating scarce resources to satisfy unlimited wants. Therefore, optimization is the most critical section of the book.

Mathematics for Economists by Carl P. Simon and Lawrence Blume: A Comprehensive Guide

Linear algebra is the backbone of econometrics and multi-variable economic modeling. Simon and Blume cover:

Used to determine the second-order conditions for optimization problems. Key Features for Learners The text is particularly valuable because it:

While full copyrighted PDFs are often restricted to purchase or library access, several supplementary resources are available: Official Answers Pamphlet

Because of its density, reading Simon and Blume like a novel will yield poor results. To truly master the material, consider the following strategy:

The book covers a wide range of models, including: utility maximization problems, cost minimization, profit maximization, general equilibrium models, IS-LM analysis, and various growth models in macroeconomics. The "Economic Applications" chapter ties many of these together.

No, this book is not for complete beginners. It assumes a working knowledge of high school algebra and pre-calculus. Students with a very weak math background may find it challenging and should first consider a text like Fundamental Methods of Mathematical Economics by Alpha C. Chiang before tackling Simon and Blume.

By mastering the concepts laid out by Simon and Blume, you will develop the precise mathematical vocabulary required to analyze complex economic behavior and contribute meaningfully to the field of economics.

The book contains excellent preliminary chapters covering basic algebra, set theory, and proofs. If your math background is rusty, do not skip these.

The text is structured into several key mathematical domains applied to economic theory: One-Variable Calculus