The plan to publish the present book arose while I was preparing a joint work with Gunter Gabisch (Gabisch, G. /Lorenz, H. -W. : Business Cycle Theory. Berlin-Heidel berg-New York: Springer). It turned out that a lot of interesting material could only be sketched in a business cycle text, either because the relevance for business cycle theory was not evident or because the material required an interest in dynamical economics which laid beyond the scope of a survey text for advanced undergraduates. While much of the material enclosed in this book can be found in condensed and sometimes more or less identical form in that business cycle text, the present monograph attempts to present nonlinear dynamical economics in a broader context with economic examples from other fields than business cycle theory. It is a pleasure for me to acknowledge the critical comments, extremely detailed remarks, or suggestions by many friends and colleagues. The responses to earlier versions of the manuscript by W. A. Barnett, M. Boldrin, W. A. Brock, C. Chiarella, C. Dale, G. Feichtinger, P. Flaschel, D. K. Foley, R. M. Goodwin, D. Kelsey, M. Lines, A. Medio, L. Montrucchio, P. Read, C. Sayers, A. Schmutzler, H. Schnabl, G. Silverberg, H. -\'\!. Sinn, J. Sterman, and R. Tscherning not only encouraged me to publish the book in its present form but helped to remove numerous errors (not only typographic ones) and conceptnal misunderstandings and flaws. Particular thanks go to G.

Complex dynamics constitute a growing and increasingly important area as they offer a strong potential to explain and formalize natural, physical, financial and economic phenomena. This book pursues the ambitious goal to bring together an extensive body of knowledge regarding complex dynamics from various academic disciplines. Beyond its focus on economics and finance, including for instance the evolution of macroeconomic growth models towards nonlinear structures as well as signal processing applications to stock markets, fundamental parts of the book are devoted to the use of nonlinear dynamics in mathematics, statistics, signal theory and processing. Numerous examples and applications, almost 700 illustrations and numerical simulations based on the use of Matlab make the book an essential reference for researchers and students from many different disciplines who are interested in the nonlinear field. An appendix recapitulates the basic mathematical concepts required to use the book.

This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors.

Pendulum is the simplest nonlinear system, which, however, provides the means for the description of different phenomena in Nature that occur in physics, chemistry, biology, medicine, communications, economics and sociology. The chaotic behavior of pendulum is usually associated with the random force acting on a pendulum (Brownian motion). Another type of chaotic motion (deterministic chaos) occurs in nonlinear systems with only few degrees of freedom. This book presents a comprehensive description of these phenomena going on in underdamped and overdamped pendula subject to additive and multiplicative periodic and random forces. No preliminary knowledge, such as complex mathematical or numerical methods, is required from a reader other than undergraduate courses in mathematical physics. A wide group of researchers, along with students and teachers will, thus, benefit from this definitive book on nonlinear dynamics.

This 1997 book presents developments in nonlinear economic dynamics along with related research from other fields, including mathematics, statistics, biology, and physics.

Cycles, Growth and the Great Recession is a collection of papers that assess the nature and role of the business cycle in contemporary economies. These assessments are made in the context of the financial market instability that distinguishes the Great Recession from previous post-war slowdowns. Theorists and applied scholars in the fields of economics and mathematical economics discuss various approaches to understanding cycles and growth, and present mathematical and applied macro models to show how uncertainty shapes cycles by affecting the economic agent choice. Also included is an empirical section that investigates how the Great Recession affected households’ housing wealth, labour productivity and migration decisions. This book aims to: Propose a novel understanding of the business cycle by comparing the approaches of various scholars, starting from Hyman Minsky and Piero Ferri. Show that uncertainty is a main feature of the business cycle that affects decision-making and economic behaviour in general. Explain with mathematical models how the behaviour of economic agents can lead to cyclical paths for modern developed economies. Augment theory with empirical analysis of some central issues related to the Great Recession. This book comprises an original view of such widely discussed subjects as business cycles, uncertainty, economic growth and the Great Recession, constructed around theory, models and applications.

This compilation by leading protagonists is a must for a greater understanding of the world we are living in and wanting to see change for the better. Gerry Sweeney, Prometheus Modern evolutionary economics is now nearly two decades old and in this excellent book, a distinguished group of evolutionary economists identify the most important developments and discuss the direction of future research. By moving away from traditional concerns with the operation of selection mechanisms towards a preoccupation with the manner in which the novelty and variety provide fuel for such mechanisms, the authors identify a key development in the field. Evolutionary economists have been drawn into the modern complexity science literature which attempts to provide an understanding of how and why complex adaptive systems engage in processes of self-organization. The goal is to provide an integrated analysis of both selection and self-organization that is uniquely economic in orientation. After a brief overview of the many key achievements and continuing challenges, the first part of the book deals with theoretical perspectives, discussing institutional change, social constructions, complexity, selection and self-selection and the usefulness of theory. Part two deals with empirical perspectives and includes discussion of replicator dynamics, the measurement of heterogeneity and complexity, and modelling organizations as complex adaptive systems. This unique book will appeal to evolutionary and industrial economists and policymakers involved with issues of innovation and management scientists.

This book represents an ongoing research agenda the aim of which is to contribute to the Keynesian paradigm in macroeconomics. It examines the Dynamic General Equilibrium (DGE) model, the assumption of intertemporal optimizing behavior of economic agents, competitive markets and price mediated market clearing through flexible wages and prices.

Treating the mathematical methods used in the economic dynamics, this book shows how they are utilised to build and analyse dynamical models. Accordingly, the focus is on the methods, and every new mathematical technique introduced is followed by its application to select economic models. The mathematical methods coveredc range from elementary linear difference and differential equations and simultaneous systems to the qualitative analysis of non-linear dynamical systems. Stability considerations are stressed throughout, including many advanced topics. Bifurcation and chaos theory are also dealt with. The reader is guided through a step-by-step analysis of each topic, be it a mathematical method or an economic model. The Study Edition also provides the reader with solutions to the numerous exercises.