Mathematics for Quantum Chemistry

Mathematics for Quantum Chemistry by Jay Martin Anderson is a concise volume published by Courier Corporation on February 11, 2005. This book is designed for undergraduate students of chemistry, providing an introduction to the mathematical formalism essential for understanding molecular structure and motion. It focuses on two main mathematical topics—calculus of orthogonal functions and algebra of vector spaces—and two physics topics, namely the Lagrangian and Hamiltonian formulations of classical mechanics, emphasizing their relevance to modern quantum chemistry.
Readers will find that this book develops a foundational understanding necessary for exploring quantum mechanics and its applications to molecular spectroscopy. It assumes prior knowledge of calculus, physics, and chemistry, specifically a year of physical chemistry. With 154 pages, this edition serves as a resource for those looking to deepen their comprehension of the mathematical principles that underpin quantum chemistry and molecular motion.
Official synopsis Publisher
This concise volume offers undergraduate students of chemistry an introduction to the mathematical formalism encountered in problems of molecular structure and motion. The author presents only two main topics from mathematics and two from physics: the calculus of orthogonal functions and the algebra of vector spaces from mathematics; and from physics, the Lagrangian and Hamiltonian formulation of classical mechanics and its applications to molecular motion.
The chosen topics possess particular relevance to modern quantum chemistry, especially in regard to the application of quantum mechanics to molecular spectroscopy. Mathematics for Quantum Chemistry develops the foundations for a physical and mathematical background in quantum chemistry in general, and for molecular spectroscopy in particular. It assumes a knowledge of calculus through partial derivatives and multiple integration, a year of physics, and chemistry through a year of physical chemistry.
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