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Table of Contents

Оглавление

Cover

Title Page

Copyright

Preface

Reading this BooknotesSet Note

Introduction Notes

Part I: Stochastic Calculus Chapter 1: Stochastic Integration Notes Chapter 2: Random Variation 2.1 What is Random Variation? 2.2 Probability and Riemann Sums 2.3 A Basic Stochastic Integral 2.4 Choosing a Sample Space 2.5 More on Basic Stochastic Integral Notes Chapter 3: Integration and Probability 3.1 ‐Complete Integration 3.2 Burkill‐complete Stochastic Integral 3.3 The Henstock Integral 3.4 Riemann Approach to Random Variation 3.5 Riemann Approach to Stochastic Integrals Notes Chapter 4: Stochastic Processes 4.1 From to 4.2 Sample Space with Uncountable 4.3 Stochastic Integrals for Example 12 4.4 Example 12 4.5 Review of Integrability Issues Notes Chapter 5: Brownian Motion 5.1 Introduction to Brownian Motion 5.2 Brownian Motion Preliminaries 5.3 Review of Brownian Probability 5.4 Brownian Stochastic Integration 5.5 Some Features of Brownian Motion 5.6 Varieties of Stochastic Integral Notes Chapter 6: Stochastic Sums 6.1 Review of Random Variability 6.2 Riemann Sums for Stochastic Integrals 6.3 Stochastic Sum as Observable 6.4 Stochastic Sum as Random Variable 6.5 Introduction to 6.6 Isometry Preliminaries 6.7 Isometry Property for Stochastic Sums 6.8 Other Stochastic Sums 6.9 Introduction to Itô’s Formula 6.10 Itô’s Formula for Stochastic Sums 6.11 Proof of Itô’s Formula 6.12 Stochastic Sums or Stochastic Integrals? Notes

Part II: Field Theory Chapter 7: Gauges for Product Spaces 7.1 Introduction 7.2 Three‐dimensional Brownian Motion 7.3 A Structured Cartesian Product Space 7.4 Gauges for Product Spaces 7.5 Gauges for Infinite‐dimensional Spaces 7.6 Higher‐dimensional Brownian Motion 7.7 Infinite Products of Infinite Products Notes Chapter 8: Quantum Field Theory 8.1 Overview of Feynman Integrals 8.2 Path Integral for Particle Motion 8.3 Action Waves 8.4 Interpretation of Action Waves 8.5 Calculus of Variations 8.6 Integration Issues 8.7 Numerical Estimate of Path Integral 8.8 Free Particle in Three Dimensions 8.9 From Particle to Field 8.10 Simple Harmonic Oscillator 8.11 A Finite Number of Particles 8.12 Continuous Mass Field Notes Chapter 9: Quantum Electrodynamics 9.1 Electromagnetic Field Interaction 9.2 Constructing the Field Interaction Integral 9.3 ‐Complete Integral Over Histories 9.4 Review of Point‐Cell Structure 9.5 Calculating Integral Over Histories 9.6 Integration of a Step Function 9.7 Regular Partition Calculation 9.8 Integrand for Integral over Histories 9.9 Action Wave Amplitudes 9.10 Probability and Wave Functions Notes

Part III: Appendices Chapter 10: Appendix 1: Integration 10.1 Monstrous Functions 10.2 A Non‐monstrous Function 10.3 Riemann‐complete Integration 10.4 Convergence Criteria 10.5 “I would not care to fly in that plane” Notes Chapter 11: Appendix 2: Theorem 63 11.1 Fresnel's Integral 11.2 Theorem 188 of [MTRV] 11.3 Some Consequences of Theorem 63 Fallacy Notes Chapter 12: Appendix 3: Option Pricing 12.1 American Options 12.2 Asian Options Notes Chapter 13: Appendix 4: Listings 13.1 Theorems 13.2 Examples 13.3 Definitions 13.4 Symbols

10  Bibliography

11  Index

12  End User License Agreement

Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics

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