From Scaling and Perturbation to Stability (Textbooks in Mathematics)

140.99 USD
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126.90
English

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This book aims not only to teach technical methods, but also to cultivate an “asymptotic way of thinking” that emphasizes scaling, dominant balances, approximation, and physical insight as essential tools in mathematical modeling. From Scaling and Perturbation to Stability is designed to help students extract meaningful approximations from complex mathematical models before seeking exact solutions. The author takes a modeling-first, intuition-driven approach. The book begins with dimensional analysis to emphasize physical reasoning before formal solution techniques are introduced. The development proceeds from simple to complex: from scalar problems to systems, from regular to singular perturbations, and from linear to nonlinear stability. The presentation is unified and systematic. Methods are introduced in a coherent framework, repeatedly connected to physical interpretation and to the limitations of approximations. The text reflects extensive classroom testing through a two-semester sequence, and its structure is shaped by what has proven most effective for student learning. Distinguishing Features Extensive, carefully graded exercises, ranging from introductory to challenging. Strong emphasis on physical intuition and modeling, not merely formal manipulation. Unified treatment of perturbation methods, asymptotic analysis, integrals, and dynamical systems. Integration of stability and bifurcation theory into an asymptotic framework. Clear connection between theory and applications, with numerous worked examples drawn from science and engineering. This text provides a coherent, example-driven introduction to asymptotic and perturbation methods for students in applied mathematics, science, and engineering. Other books by Youssef N. Raffoul, published by CRC Press: Fourier Series and Boundary Value Problems with Engineering Applications (2025) and Applied Mathematics for Scientists and Engineers (2023).

This book is designed to help students extract meaningful approximations from complex mathematical models before seeking exact solutions. It takes a modeling-first, intuition-driven approach. It is an example-driven introduction to asymptotic and perturbation methods for students in applied mathematics, science, and engineering.

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