Bridging Quantum and Classical: A Path Integral Journey

Erscheinungsjahr 2024
ISBN: 978-3-384-25793-2
Verlag: tredition

Buch, Englisch, 172 Seiten, Paperback, Format (B × H): 155 mm x 234 mm, Gewicht: 301 g

"Bridging Quantum and Classical: A Path Integral Journey" delves into the fascinating concept of Feynman Path Integrals. Unlike the strange ideas often associated with quantum mechanics, path integrals offer an intuitive bridge between the familiar world of classical mechanics and the bizarre realm of the quantum. This book explains how particles, unlike billiard balls on a table, explore every possible path between two points, with some paths influencing the outcome more than others. Through this path integral approach, you'll gain a deeper understanding of the quantum world and its connection to our everyday reality.

Zielgruppe

This book is ideal for those curious about the quantum world but struggle with its abstract nature. It bridges the gap between classical mechanics and quantum mechanics using the path integral concept, making the unfamiliar more understandable.

Autoren/Hrsg.

Chopra

Über Autor(innen)

Chopra
Dr. Chopra, for your Advanced Mathematical Modeling course, I propose "Nonlinear Tools: Theory Meets Diverse Problems." This book breaks free from the limitations of linear models and dives into the fascinating world of nonlinear mathematics. We'll bridge the gap between theoretical concepts like chaos theory and practical applications, equipping you with powerful tools to tackle real-world complexities.

"Nonlinear Tools" delves into core principles, exploring nonlinear dynamics, complex systems, and the numerical methods crucial for solving these problems. We'll also analyze nonlinear differential equations and their applications across various fields. But this book goes beyond theory. We'll embark on a journey to see how these powerful tools are used in physics, chemistry, biology, even economics, finance, and social sciences, showcasing their versatility in modeling intricate systems.

Furthermore, recognizing the growing importance of nonlinear tools in data analysis and AI, the book explores their role in machine learning and control systems, highlighting their problem-solving potential. "Nonlinear Tools" is a valuable resource for researchers, scientists, and engineers encountering nonlinearity, and a captivating introduction for anyone interested in the power of this branch of mathematics to revolutionize how we approach complex problems across diverse disciplines.