Mathematics for Physical Chemistry


  • Robert Mortimer, Rhodes College, Memphis, TN, USA

Mathematics for Physical Chemistry is the ideal supplementary text for practicing chemists and students who want to sharpen their mathematics skills while enrolled in general through physical chemistry courses. This book specifically emphasizes the use of mathematics in the context of physical chemistry, as opposed to being simply a mathematics text.This 4e includes new exercises in each chapter that provide practice in a technique immediately after discussion or example and encourage self-study. The early chapters are constructed around a sequence of mathematical topics, with a gradual progression into more advanced material. A final chapter discusses mathematical topics needed in the analysis of experimental data.
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New chemistry researchers; freshmen through juniors, seniors and graduates students enrolled in general through physical chemistry courses; especially students in lower- and upper-division honors chemistry courses.


Book information

  • Published: June 2013
  • Imprint: ELSEVIER
  • ISBN: 978-0-12-415809-2


"The text is extremely clear and concise delivering exactly what the student needs to know in a pinch - nothing more, nothing less. It is an indispensable resource for any student of physical chemistry."--Gregory S. Engel, Harvard University

"Mathematics for Physical Chemistry is a comprehensive review of many useful mathematical topics...The book would be useful for anyone studying physical chemistry."--Daniel B. Lawson, University of Michigan-Dearborn

"The student will derive benefit from the clarity, and the professional from a concise compilation of techniques stressing application rather than theory.… Recommended."--John A. Wass for SCIENTIFIC COMPUTING AND INSTRUMENTATION

Table of Contents

1. Problem Solving and Numerical Mathematics
2. Mathematical Functions
3. Problem Solving and Symbolic Mathematics: Algebra
4. Vectors and Vector Algebra
5. Problem Solving and the Solution of Algebraic Equations
6. Differential Calculus
7. Integral Calculus
8. Differential Calculus With Several Independent Variables
9. Integral Calculus With Several Independent Variables
10. Mathematical Series
11. Functional Series and Integral Transforms
12. Differential Equations
13. Operators, Matrices, and Group Theory
14. The Solution of Simultaneous Algebraic Equations with More than Two Unknowns
15. Probability, Statistics, and Experimental Errors
16. Data Reduction and the Propagation of Errors