This book provides a comprehensive introduction to the mathematical foundations of economics, from basic set theory to fixed point theorems and constrained optimization. Rather than simply offer a collection of problem-solving techniques, the book emphasizes the unifying mathematical principles that underlie economics. Features include an extended presentation of separation theorems and their applications, an account of constraint qualification in constrained optimization, and an introduction to monotone comparative statics. These topics are developed by way of more than 800 exercises. The book is designed to be used as a graduate text, a resource for self-study, and a reference for the professional economist.

What is Mathematical Economics Within the field of economics, mathematical economics refers to the utilization of mathematical techniques for the purpose of representing ideas and analyzing situations. It is common for these applied methods to go beyond simple geometry. Some examples of these approaches include differential and integral calculus, difference and differential equations, matrix algebra, mathematical programming, and other computer methods. The individuals who advocate for this method assert that it makes it possible to formulate theoretical linkages in a manner that is rigorous, general, and straightforward. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Mathematical economics Chapter 2: Navier-Stokes equations Chapter 3: Riemann curvature tensor Chapter 4: Fractional calculus Chapter 5: Step response Chapter 6: Drawdown (economics) Chapter 7: KMS state Chapter 8: Ramsey-Cass-Koopmans model Chapter 9: Lattice Boltzmann methods Chapter 10: Green's function (many-body theory) Chapter 11: Stokes's law of sound attenuation Chapter 12: Hasse-Davenport relation Chapter 13: Discrete Morse theory Chapter 14: Zonal spherical function Chapter 15: Commutation theorem for traces Chapter 16: Critical taper Chapter 17: Moving load Chapter 18: M/D/1 queue Chapter 19: Katugampola fractional operators Chapter 20: Functional differential equation Chapter 21: Recharge oscillator (II) Answering the public top questions about mathematical economics. (III) Real world examples for the usage of mathematical economics in many fields. (IV) Rich glossary featuring over 1200 terms to unlock a comprehensive understanding of mathematical economics. (eBook only). Who will benefit Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of mathematical economics.

This book provides a comprehensive introduction to the mathematical foundations of economics, from basic set theory to fixed point theorems and constrained optimization. Rather than simply offer a collection of problem-solving techniques, the book emphasizes the unifying mathematical principles that underlie economics. Features include an extended presentation of separation theorems and their applications, an account of constraint qualification in constrained optimization, and an introduction to monotone comparative statics. These topics are developed by way of more than 800 exercises. The book is designed to be used as a graduate text, a resource for self-study, and a reference for the professional economist.

Twenty papers written by the influential economic theorist Professor Gerard Debreu.

This textbook provides a one-semester introduction to mathematical economics for first year graduate and senior undergraduate students. Intended to fill the gap between typical liberal arts curriculum and the rigorous mathematical modeling of graduate study in economics, this text provides a concise introduction to the mathematics needed for core microeconomics, macroeconomics, and econometrics courses. Chapters 1 through 5 builds students’ skills in formal proof, axiomatic treatment of linear algebra, and elementary vector differentiation. Chapters 6 and 7 present the basic tools needed for microeconomic analysis. Chapter 8 provides a quick introduction to (or review of) probability theory. Chapter 9 introduces dynamic modeling, applicable in advanced macroeconomics courses. The materials assume prerequisites in undergraduate calculus and linear algebra. Each chapter includes in-text exercises and a solutions manual, making this text ideal for self-study.

This updated edition is radically changed from the original and will be much appreciated by thinkers within economics. Boland is back.

Computable Foundations for Economics is a unified collection of essays, some of which are published here for the first time and all of which have been updated for this book, on an approach to economic theory from the point of view of algorithmic mathematics. By algorithmic mathematics the author means computability theory and constructive mathematics. This is in contrast to orthodox mathematical economics and game theory, which are formalised with the mathematics of real analysis, underpinned by what is called the ZFC formalism, i.e., set theory with the axiom of choice. This reliance on ordinary real analysis and the ZFC system makes economic theory in its current mathematical mode completely non-algorithmic, which means it is numerically meaningless. The book provides a systematic attempt to dissect and expose the non-algorithmic content of orthodox mathematical economics and game theory and suggests a reformalization on the basis of a strictly rigorous algorithmic mathematics. This removes the current schizophrenia in mathematical economics and game theory, where theory is entirely divorced from algorithmic applicability – for experimental and computational exercises. The chapters demonstrate the uncomputability and non-constructivity of core areas of general equilibrium theory, game theory and recursive macroeconomics. The book also provides a fresh look at the kind of behavioural economics that lies behind Herbert Simon’s work, and resurrects a role for the noble classical traditions of induction and verification, viewed and formalised, now, algorithmically. It will therefore be of particular interest to postgraduate students and researchers in algorithmic economics, game theory and classical behavioural economics.

This textbook presents students with all they need for advancing in mathematical economics. Higher level undergraduates as well as postgraduate students in mathematical economics will find this book extremely useful.