Generalized Statistical Thermodynamics

This book gives the definitive mathematical answer to what thermodynamics really is: a variational calculus applied to probability distributions. Extending Gibbs's notion of ensemble, the Author imagines the ensemble of all possible probability distributions and assigns probabilities to them by selection rules that are fairly general. The calculus of the most probable distribution in the ensemble produces the entire network of mathematical relationships we recognize as thermodynamics.

The first part of the book develops the theory for discrete and continuous distributions while the second part applies this thermodynamic calculus to problems in population balance theory and shows how the emergence of a giant component in aggregation, and the shattering transition in fragmentation may be treated as formal phase transitions.

While the book is intended as a research monograph, the material is self-contained and the style sufficiently tutorial to be accessible for self-paced study by an advanced graduate student in such fields as physics, chemistry, and engineering.

Auteur

Themis Matsoukas is a professor of chemical engineering at Penn State. He has taught graduate and undergraduate courses in chemical thermodynamics for over 20 years and is the author of an undergraduate textbook on the Fundamentals of Chemical Engineering Thermodynamics (2012, Prentice Hall). His research focuses on nano-colloidal systems and in the application of stochastic methods to population balance models He has been recognized with several awards at Penn State, including the George W. Atherton Award for excellence in Teaching and the Outstanding Teaching Award from the Penn State Engineering Society. He received his undergraduate degree from the National Technical University of Athens, Greece, and his PhD from the University of Michigan, both in chemical engineering