
Stochastic Processes in Chemical Physics
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K. E. Shuler is the author of Stochastic Processes in Chemical Physics, Volume 15, published by Wiley.
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Content
- Stochastic Processes in Chemical Physics
- CONTENTS
- Probabilistic and Dynamic Approaches to the Theory of Stochastic Processes
- I. Introduction
- II. Probabilistic Preliminaries
- III. Master Equations
- IV. Langevin Equation
- Quantum States and Dissipative Processes
- I. Introduction
- II. Einstein's Theory of Spontaneous Emission in Unstable Particles
- III. Mechanisms of Dissipation
- IV. Probability Amplitudes and Quantum Time
- V. Quantum States of Finite Lifetime
- VI. Kinetic Equations : Feynman Diagrams and Correlation Diagrams
- VII. Boltzmann Approximation
- VIII. Physical Particles and Entropy
- IX. Kinetic Equations and Quantum States
- X. Conclusions and Perspectives
- Relaxed Motion in Irreversible Molecular Statistics
- I. The Basic Enigma
- II. The Basic Macroscopic Functions
- III. The Boundary Forces
- IV. The information Content of Probability Statements
- V. Heuristic Introduction to Relaxed Motion
- VI. Plan of Explicit Calculation
- VII. Solution in a Siniplitied Case: "Vestiginal Forces"
- VIII-IX. Calculation of the Information Integrals
- X. The Variational Principle
- XI. The Linear Approximation
- XII. Generalization
- Thermal Fluctuations in Nonlinear Systems
- I. Introduction: The Linear Case
- II. The Nonlinear Problem
- III. The Master Equation
- IV. Expansion of the Master Equation
- V. Additional Remarks
- VI. The Microscopic Description
- VII. The Microscopic Equations of Motion
- Error Bounds and Spectral Densities
- I. lntroduction
- II. Properties of Spectral Densities
- III. Error Bounds for Averages of Spectral Densities
- A. Error Bounds for the Response to a Damped Harmonic Perturbation
- B. Error Bounds for Cumulative Distribution
- C. Error Bounds for Second-Order Perturbation Energies
- IV. Extrapolation Methods for Spectral Densities
- V. Summary and Discussion
- A Stochastic Theory of Line Shape
- I. Introduction
- II. Random Frequency Modulation
- III. Two, Simple Examples
- a. Two State Jump Modulation
- b. Gaussian Modulation
- IV. Collapse of an NMR Multiplet
- V. Low Field Spin Resonance
- VI. Spectrum of Excitations to a Doublet with a Random Modulation
- VII. Random Stark Modulation of a Hydrogen Atom
- VIII. Line Shape of Mossbauer Spectra
- IX. Concluding Remarks
- A Stochastic Model for Neutron Scattering by Simple Liquids
- I. Model Calculations
- II. Scattering from H2 in Liquid Argon
- Fluctuations in Autocorrelation Functions in Diffusing Systems
- I. Introduction
- II. Definitions
- III. Method
- IV. Results
- A. Harmonically Bound Particle
- B. Particle in a Box
- C. Plane Rotor
- D. Spherical Rotor
- V. Relaxation Times
- VI. Discussion
- Stochastic Theory of Chemical Rate Processes
- I. Introduction
- II. Random Walk Model of Unimolecular Decomposition
- III. Exactly Solvable Elementary Reactions
- IV. Selected Applications
- A. Kinetics of Reactant Isolation
- B. Reaction Kinetics on Linear Lattices with Neighbor Effects
- C. Kinetics of Photochemical Reactions in Nucleic Acid Derivatives
- D. Nucleation Theory
- The Kinetics of Biopolymerization on Nucleic Acid Templates
- I. Introduction
- II. DNA Replication
- III. Protein Synthesis
- Some Models for the Decay of Initial Correlations in Dynamical Systems
- I. Introduction
- II. The Independent Random Walk Model
- III. Harmonic Oscillator Models
- IV. The One-Dimensional Ising Model
- Vibrational Relaxation of a Gas of Diatomic Molecules
- I. Introduction
- II. The Master Equation
- III. The Linear Equation
- IV Qualitative Features of the Linear Equation
- V. The Monte Carlo Process
- VI. Discussion
- Self-Avoiding Walks on Lattices
- I. Introduction
- II. Random Walks, Restricted Walks, and Self-Avoiding Walks
- III. Methods of Investigating Self-Avoiding Walks
- A. Rigorous Analysis
- B. Monte Carlo
- C. Exact Enumeration
- D. Transition Matrix
- IV. Properties of Self-Avoiding Walks
- A. Number of Walks of n Steps
- B. Number of Polygonal Closures of n Steps
- C. Mean Square Length
- D. Probability Distribution of End Points
- E. Mean Square Radius of Gyration
- F. Correlation Between Steps
- G. Passage from a Restricted to a Self-Avoiding Walk
- V. Analogy with the Ising Model
- VI. Continuum Models
- VII. Conclusions
- Non-Self Intersecting Random Walks on Lattices with Near-Neighbor Interactions
- I. Introduction
- II. Thermodynamic Properties of Self-Interacting Chains from the Monte Carlo Computations
- III. Stochastic Model for Restricted Self-Avoiding Chains with Nearest-Neighbor Interactions
- A. General Considerations
- B. Derivation of the Chain Partition Function
- IV. Preliminary Results
- Reversible Kinetics on Linear Lattices with Neighbor Effects
- I. General Considerations
- II. Derivation of Kinetics
- Ill. Equilibrium Relations
- IV. Numerical Approximations
- V. Some Applications
- Stochastic Models for Chain Dynamics
- I. Introduction
- II. Freely Jointed Chain
- III. One-Dimensional Chain with Correlations
- IV . Discussion
- Langevin Theory of Polymer Dynamics in Dilute Solution
- I. Introduction
- II. Hydrodynamic Interaction
- III. Fokker-Planck Equation
- IV. Langevin Equation
- Toeplitz Determinants: Some Applications, Theorems and Conjectures
- I. Introduction and Examples
- A. Random Walk
- B. Prediction Theory
- C. Ising Model Correlation Functions
- D. Dimers on a Plane Lattice
- II. Previous Results
- III. Extensions of the Classical Theorem
- IV. Special Results and Conjectures
- V. Summary
- A New Series Expansion for Path Integrals in Statistical hlechanics
- Brownian Motion and Indeterminacy Relations
- I . Introduction
- II. The Burgers Equation Approach
- III. The Kramers Equation Approach
- Author Index
- Curnulative lndex to Volumes I-XIV and XV
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