This book is devoted to the study of optimal control problems arising in forest management, an important and fascinating topic in mathematical economics studied by many researchers over the years. The volume studies the forest management problem by analyzing a class of optimal control problems that contains it and showing the existence of optimal solutions over infinite horizon. It also studies the structure of approximate solutions on finite intervals and their turnpike properties, as well as the stability of the turnpike phenomenon and the structure of approximate solutions on finite intervals in the regions close to the end points. The book is intended for mathematicians interested in the optimization theory, optimal control and their applications to the economic theory.

Develops the turnpike theory for optimal control problems arising in the forest management Establishes the existence of solutions of infinite horizon optimal control problems arising in forest management Describes structure of approximate solutions on finite intervals in the regions close to the end points

Autorentext

Alexander J. Zaslavski, is a senior researcher at the Technion - Israel Institute of Technology. He was born in Ukraine in 1957 and got his PhD in Mathematical Analysis in 1983, The Institute of Mathematics, Novosibirsk. He is the author of 26 research monographs and more than 600 research papers and editor of more than 70 edited volumes and journal special issues. He is the Founding Editor and Editor-in Chief of the journal Pure and Applied Functional Analysis, and Editor-in-Chief of journal Communications in Optimization Theory. His area of research contains nonlinear functional analysis, control theory, optimization, calculus of variations, dynamical systems theory, game theory and mathematical economics.

Inhalt

1. Turnpike Properties.- 2. Forest Management Problem.- 3. Turnpike Properties of Approximate Solutions.- 4. Generic Turnpike Results.- 5. The Structure of Approximate Solutions on Finite Intervals.- 6. Reconsidering the Forest Management Problem. <p