Topics in Mathematical Modeling by Difference Equations : With Mathematica

This book seeks to illuminate this powerful framework by integrating theoretical insights with practical applications. It serves to provide a clear introduction to the calculus of finite differences and first-order difference equations and to guide readers toward advanced methods for deeper exploration.

"This is the best introductory book that I have seen to help one learn about and understand the mathematics and applications of difference equations. I wish it was available when I was a student."—Professor Ronald E. Mickens“This book shows a wonderful synergism between difference equations and mathematical modeling.”—Professor Nancy RallisAcross the vast array of topics in applied mathematics, difference equations stand out as essential tools for analyzing and understanding discrete systems and processes. Their applications span diverse fields: from modeling biological population dynamics to economic systems, numerical approximations of differential equations, and even supply chain optimization. The versatility of difference equations underscores their relevance in tackling a wide range of disciplines and real-world challenges. Mathematical Modeling by Difference Equation with Mathematica seeks to illuminate this powerful framework by integrating theoretical insights with practical applications. It serves two primary goals: to provide a clear introduction to the calculus of finite differences and first-order difference equations, and to guide readers toward advanced methods for deeper exploration. This text is written for undergraduate students in mathematics, business, economics, and other quantitative sciences. Researchers and professionals who use mathematical modeling in their work, and anyone intrigued by the role of mathematics in understanding discrete systems, will also find tremendous value in this text. FeaturesNumerous exercises and worked examples with solutions providedAppendix including samples of the Mathematica code used in the bookExtensive real-world applications with examples from fields as diverse as physics, biology, and economics.