This sequel to the author's "Early Development in Mathematical Economics" covers developments in this field after the appearance of Cournot's "Recherches" in 1838 and until the publication of Jevons' "Theory" in 1871.

This text offers a presentation of the mathematics required to tackle problems in economic analysis. After a review of the fundamentals of sets, numbers, and functions, it covers limits and continuity, the calculus of functions of one variable, linear algebra, multivariate calculus, and dynamics.

In How Economics Became a Mathematical Science E. Roy Weintraub traces the history of economics through the prism of the history of mathematics in the twentieth century. As mathematics has evolved, so has the image of mathematics, explains Weintraub, such as ideas about the standards for accepting proof, the meaning of rigor, and the nature of the mathematical enterprise itself. He also shows how economics itself has been shaped by economists’ changing images of mathematics. Whereas others have viewed economics as autonomous, Weintraub presents a different picture, one in which changes in mathematics—both within the body of knowledge that constitutes mathematics and in how it is thought of as a discipline and as a type of knowledge—have been intertwined with the evolution of economic thought. Weintraub begins his account with Cambridge University, the intellectual birthplace of modern economics, and examines specifically Alfred Marshall and the Mathematical Tripos examinations—tests in mathematics that were required of all who wished to study economics at Cambridge. He proceeds to interrogate the idea of a rigorous mathematical economics through the connections between particular mathematical economists and mathematicians in each of the decades of the first half of the twentieth century, and thus describes how the mathematical issues of formalism and axiomatization have shaped economics. Finally, How Economics Became a Mathematical Science reconstructs the career of the economist Sidney Weintraub, whose relationship to mathematics is viewed through his relationships with his mathematician brother, Hal, and his mathematician-economist son, the book’s author.

Known for its clarity, comprehensiveness, and balance, the latest edition of A History of Economic Theory and Method continues that tradition of excellence. Ekelund and Hébert’s survey provides historical and international contexts for how economic models have served social needs throughout the centuries—beginning with the ancient Greeks through the present time. The authors not only trace ideas that have persisted but skillfully demonstrate that past, discredited ideas also have a way of spawning critical thinking and encouraging new directions in economic analysis. Coverage that distinguishes the Sixth Edition from its predecessors includes a detailed analysis of economic solutions by John Stuart Mill and Edwin Chadwick to problems raised by the Industrial Revolution; the role of psychology and “experiments” in understanding demand and consumer behavior; discussions of modern economic theory as it interrelates with other social sciences; and a close look at the historical development of the critical role of entrepreneurship, both in its productive and unproductive variants. The authors’ creative approach gives readers a feel for the thought processes of the great minds in economics and underscores key ideas impacting contemporary thought and practice. Well-crafted discussions are further enriched by absorbing examples and figures. Thorough suggested reading lists give options for more in-depth explorations by interested readers.

This text contains the mathematical material necessary as background for the topics covered in advanced microeconomics courses. It focuses on two key components of microeconomics - optimization subject to constraints and the development of comparative statistics. Assuming familiarity with calculus of one variable and basic linear algebra, the text allows more extensive coverage of additional topics like constrained optimization, the chain rule, Taylor's theorem, line integrals and dynamic programming. It contains numerous examples that illustrate economics and mathematical situations, many with complex solutions.