Cover image for Time Reversibility, Computer Simulation, Algorithms, Chaos.
Time Reversibility, Computer Simulation, Algorithms, Chaos.
Title:
Time Reversibility, Computer Simulation, Algorithms, Chaos.
Author:
Hoover, William G.
ISBN:
9789814383172
Personal Author:
Edition:
2nd ed.
Physical Description:
1 online resource (426 pages)
Series:
Advanced Series in Nonlinear Dynamics ; v.13

Advanced Series in Nonlinear Dynamics
Contents:
Contents -- Preface -- Preface to the First Edition -- Glossary of Technical Terms -- 1. Time Reversibility, Computer Simulation, Algorithms, Chaos -- 1.1 Microscopic Reversibility -- Macroscopic Irreversibility -- 1.2 Time Reversibility of Irreversible Processes -- 1.3 Classical Microscopic and Macroscopic Simulation -- 1.4 Continuity, Information, and Bit Reversibility -- 1.5 Instability and Chaos -- 1.6 Simple Explanations of Complex Phenomena -- 1.7 The Paradox: Irreversibility from Reversible Dynamics -- 1.8 Algorithm: Fourth-Order Runge-Kutta Integrator -- 1.9 Example Problems -- 1.9.1 Equilibrium Baker Map -- 1.9.2 Equilibrium Galton Board -- 1.9.3 Equilibrium Hookean Pendulum -- 1.9.4 Nose-Hoover Oscillator with a Temperature Gradient -- 1.10 Summary and Notes -- 1.10.1 Notes and References -- 2. Time-Reversibility in Physics and Computation -- 2.1 Introduction -- 2.2 Time Reversibility -- 2.3 Levesque and Verlet's Bit-Reversible Algorithm -- 2.4 Lagrangian and Hamiltonian Mechanics -- 2.5 Liouville's Incompressible Theorem -- 2.6 What Is Macroscopic Thermodynamics? -- 2.7 First and Second Laws of Thermodynamics -- 2.8 Temperature, Zeroth Law, Reservoirs, Thermostats -- 2.9 Irreversibility from Stochastic Irreversible Equations -- 2.10 Irreversibility from Time-Reversible Equations? -- 2.11 An Algorithm Implementing Bit-Reversible Dynamics -- 2.12 Example Problems -- 2.12.1 Time-Reversible Dissipative Map -- 2.12.2 A Smooth-Potential Galton Board -- 2.13 Summary -- 2.13.1 Notes and References -- 3. Gibbs' Statistical Mechanics -- 3.1 Scope and History -- 3.2 Formal Structure of Gibbs' Statistical Mechanics -- 3.3 Initial Conditions, Boundary Conditions, Ergodicity -- 3.4 From Hamiltonian Dynamics to Gibbs' Probability -- 3.5 From Gibbs' Probability to Thermodynamics -- 3.6 Pressure and Energy from Gibbs' Canonical Ensemble.

3.7 Gibbs' Entropy versus Boltzmann's Entropy -- 3.8 Number-Dependence and Thermodynamic Fluctuations -- 3.9 Green and Kubo's Linear-Response Theory -- 3.10 An Algorithm for Local Smooth-Particle Averages -- 3.11 Example Problems -- 3.11.1 Quasiharmonic Thermodynamics -- 3.11.2 Hard-Disk and Hard-Sphere Thermodynamics -- 3.11.3 Time-Reversible Confined Free Expansion -- 3.12 Summary -- 3.12.1 Notes and References -- 4. Irreversibility in Real Life -- 4.1 Introduction -- 4.2 Phenomenology - the Linear Dissipative Laws -- 4.3 Microscopic Basis of the Irreversible Linear Laws -- 4.4 Solving the Linear Macroscopic Equations -- 4.5 Nonequilibrium Entropy Changes -- 4.6 Fluctuations and Nonequilibrium States -- 4.7 Deviations from the Phenomenological Linear Laws -- 4.8 Causes of Irreversibility a la Boltzmann and Lyapunov -- 4.9 Rayleigh-Benard Algorithm with Atomistic Flow -- 4.10 Rayleigh-Benard Algorithm for a Continuum -- 4.11 Three Rayleigh-Benard Example Problems -- 4.11.1 Rayleigh-Benard Flow via Lorenz' Attractor -- 4.11.2 Rayleigh-Benard Flow with Continuum Mechanics -- 4.11.3 Rayleigh-Benard Flow with Molecular Dynamics -- 4.12 Summary -- 4.12.1 Notes and References -- 5. Microscopic Computer Simulation -- 5.1 Introduction -- 5.2 Integrating the Motion Equations -- 5.3 Interpretation of Results -- 5.4 Control of a Falling Particle -- 5.5 Second Law of Thermodynamics -- 5.6 Simulating Shear Flow and Heat Flow -- 5.7 Shockwaves -- 5.8 Algorithm for Periodic Shear Flow with Doll's Tensor -- 5.9 Example Problems -- 5.9.1 Isokinetic Nonequilibrium Galton Board -- 5.9.2 Heat-Conducting One-Dimensional Oscillator -- 5.9.3 Many-Body Heat Flow -- 5.10 Summary -- 5.10.1 Notes and References -- 6. Shockwaves Revisited -- 6.1 Introduction -- 6.2 Equation of State Information from Shockwaves -- 6.3 Shockwave Conditions for Molecular Dynamics.

6.4 Shockwave Stability -- 6.5 Thermodynamic Variables -- 6.6 Shockwave Profiles from Continuum Mechanics -- 6.6.1 Shockwave Profile with Shear Viscosity -- 6.6.2 Shockwave Profile with Viscosity and Conductivity -- 6.6.3 Shockwave Profiles with Tensor Temperatures -- 6.6.4 Flow Algorithm with Maxwell-Cattaneo Time Delays -- 6.7 Comparing Model Profiles with Molecular Dynamics -- 6.8 Lyapunov Instability in Strong Shockwaves -- 6.9 Summary -- 6.9.1 Notes and References -- 7. Macroscopic Computer Simulation -- 7.1 Introduction -- 7.2 Continuity and Coordinate Systems -- 7.3 Macroscopic Flow Variables -- 7.4 Finite-Difference Methods -- 7.5 Finite-Element Methods -- 7.6 Smooth Particle Applied Mechanics [SPAM] -- 7.7 A SPAM Algorithm for Rayleigh-Benard Convection -- 7.7.1 Initial Conditions -- 7.7.2 SPAM Evaluation of the Particle Densities -- 7.7.3 SPAM Evaluation of { u } and { T } -- 7.7.4 SPAM Evaluation of the Constitutive Relations -- 7.8 Applications of SPAM to Rayleigh-Benard Flows -- 7.8.1 SPAM with and without a Core Potential -- 7.8.2 SPAM and Kinetic-Energy Fluctuations -- 7.9 Summary -- 7.9.1 Notes and References -- 8. Chaos, Lyapunov Instability, Fractals -- 8.1 Introduction -- 8.2 Continuum Mathematics -- 8.3 Chaos -- 8.4 The Spectrum of Lyapunov Exponents -- 8.5 Fractal Dimensions -- 8.6 A Simple Ergodic Fractal -- 8.7 Fractal Attractor-Repeller Pairs -- 8.8 A Global Second Law from Reversible Chaos -- 8.9 Coarse-Grained and Fine-Grained Entropy -- 8.10 Oscillators, Lyapunov Algorithms, Fractal Dimensions -- 8.10.1 A Thought-Provoking Oscillator Exercise -- 8.10.2 Doubly-Thermostated Oscillator -- Lyapunov Spectra -- 8.10.3 Lyapunov Spectra for a Chaotic Double Pendulum -- 8.10.4 Coarse-Grained Galton Board Entropy -- 8.10.5 Color Conductivity -- 8.11 Summary -- 8.11.1 Notes and References -- 9. Resolving the Reversibility Paradox.

9.1 Introduction -- 9.2 Irreversibility from Boltzmann's Kinetic Theory -- 9.3 Boltzmann's Equation Today -- 9.4 Gibbs' Statistical Mechanics -- 9.5 Jaynes' Information Theory -- 9.6 Green and Kubo's Linear Response Theory -- 9.7 Thermomechanics -- 9.8 The Delay Times Separating Causes from their Effects -- 9.9 A Fluctuation Theorem -- 9.10 Are Initial Conditions Relevant? -- 9.11 Constrained Hamiltonian Ensembles -- 9.12 Anosov Systems and Sinai-Ruelle-Bowen Measures -- 9.13 Trajectories versus Distribution Functions -- 9.14 Are Maps Relevant? -- 9.15 Irreversibility Time-Reversible Motion Equations -- 9.16 Boltzmann-Equation Shockwave-Structure Algorithm -- 9.17 Summary -- 9.17.1 Notes and References -- 10. Afterword-a Research Perspective -- 10.1 Introduction -- 10.2 What do We Know? -- 10.3 Why Reversibility is Still a Problem -- 10.4 Change and Innovation -- 10.5 Role of Examples -- 10.6 Role of Chaos and Fractals -- 10.7 Role of Mathematics -- 10.8 Remaining Puzzles -- 10.9 Summary -- 10.10 Acknowledgments -- Bibliography -- Index.
Abstract:
A small army of physicists, chemists, mathematicians, and engineers has joined forces to attack a classic problem, the "reversibility paradox", with modern tools. This book describes their work from the perspective of computer simulation, emphasizing the authors' approach to the problem of understanding the compatibility, and even inevitability, of the irreversible second law of thermodynamics with an underlying time-reversible mechanics. Computer simulation has made it possible to probe reversibility from a variety of directions and "chaos theory" or "nonlinear dynamics" has supplied a useful vocabulary and a set of concepts, which allow a fuller explanation of irreversibility than that available to Boltzmann or to Green, Kubo and Onsager. Clear illustration of concepts is emphasized throughout, and reinforced with a glossary of technical terms from the specialized fields which have been combined here to focus on a common theme. The book begins with a discussion, contrasting the idealized reversibility of basic physics against the pragmatic irreversibility of real life. Computer models, and simulation, are next discussed and illustrated. Simulations provide the means to assimilate concepts through worked-out examples. State-of-the-art analyses, from the point of view of dynamical systems, are applied to many-body examples from nonequilibrium molecular dynamics and to chaotic irreversible flows from finite-difference, finite-element, and particle-based continuum simulations. Two necessary concepts from dynamical-systems theory - fractals and Lyapunov instability - are fundamental to the approach. Undergraduate-level physics, calculus, and ordinary differential equations are sufficient background for a full appreciation of this book, which is intended for advanced undergraduates, graduates, and research workers. The generous assortment of examples

worked out in the text will stimulate readers to explore the rich and fruitful field of study which links fundamental reversible laws of physics to the irreversibility surrounding us all. This expanded edition stresses and illustrates computer algorithms with many new worked-out examples, and includes considerable new material on shockwaves, Lyapunov instability and fluctuations.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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