This book aims to cover a broad range of topics in statistical physics, including statistical mechanics (equilibrium and non-equilibrium), soft matter and fluid physics, for applications to biological phenomena at both cellular and macromolecular levels. It is intended to be a graduate level textbook, but can also be addressed to the interested senior level undergraduate. The book is written also for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics.

Typical statistical physics courses cover ideal gases (classical and quantum) and interacting units of simple structures. In contrast, even simple biological fluids are solutions of macromolecules, the structures of which are very complex. The goal of this book to fill this wide gap by providing appropriate content as well as by explaining the theoretical method that typifies good modeling, namely, the method of coarse-grained descriptions that extract themost salient features emerging at mesoscopic scales. The major topics covered in this book include thermodynamics, equilibrium statistical mechanics, soft matter physics of polymers and membranes, non-equilibrium statistical physics covering stochastic processes, transport phenomena and hydrodynamics.

Generic methods and theories are described with detailed derivations, followed by applications and examples in biology. The book aims to help the readers build, systematically and coherently through basic principles, their own understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems.

Provides detailed derivations of the basic concepts for applications to biological matter and phenomena Covers a broad biologically relevant topics of statistical physics, including thermodynamics, equilibrium statistical mechanics, soft matter physics of polymers and membranes, non-equilibrium statistical physics covering stochastic processes, transport phenomena, hydrodynamics, etc Contains worked examples and problems with some solutions

Autorentext
Wokyung Sung is Professor Emeritus at Pohang University of Science & Technology (POSTECH), where he taught and researched in the fields of statistical physics and biological physics for about 30 years. He obtained his Bachelor of Science at Seoul National University and PhD at the State University of New York at Stony Brook. He has been working mostly on a variety of biological matter and processes at the mesoscopic level, using statistical physics of soft matter and stochastic phenomena. In particular, he pioneered the theory of polymer translocation through membranes, engendering a whole new field in biological or polymer physics. He is a member of the Journal of Biological Physics editorial board and an Editor-in-Chief in the period 2007-2009. For his seminal contributions to science and in particular to statistical/biological physics, Prof. Sung was awarded a Medal of Science and Technology bestowed by the Korean Government in 2010. He also served as a director of Centerfor Theoretical Physics at POSTECH, and the Distinguished Research Fellow at Center for Self-Assembly and Complexity, Institute of Basic Science, in Pohang. Professor Sung was a visiting a scientist and professor at Oxford University, the Jülich Research Center, University of Pennsylvania, and Brown University.

Inhalt

1. Introduction : Biological Systems, and Physical ApproachesBring Physics to Life, Bring Life to Physics. Part A: Equilibrium Structures and Properties.- 2. Basic Concepts of Relevant Thermodynamics.- 3. Basic Methods of Equilibrium Statistical Physics.- 4. Statistical Mechanics of Fluids and Solutions.- 5. The Coarse-grained Descriptions for Biological Complexes. 6.- Water and Weak Electrostatic Interactions.- 7. Law of Chemical Forces: Transitions, Reactions and Self-assembly.- 8. Lattice and Ising Models.- 9. Response, Fluctuations, Correlations, and Scatterings.- 10. Mesoscopic model for Polymers: Flexible Chains.- 11. Mesoscopic model for Polymers: Semi-flexible Chain Model and Polyelectrolytes.- 12. Membranes and Elastic Surfaces.- 13.Brownian Motions.- 14. Stochastic Processes, Markov Chains and Master Equations.- 15. Theory of Markov Processes & The Fokker-Planck Equations.- 16. The Mean-First Passage Times and Barrier Crossing Rates.17.- Dynamic Linear Responses and Time Correlation Functions.- 18. Noise-induced Resonances: Stochastic Resonance and Resonant Activation, and Stochastic Ratchet. 19.- Transport Phenomena and Fluid Dynamics.- 20. Dynamics of Polymers and Membranes in Fluids.- 21. Epilogue.