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9780198567769

Random Processes in Physics and Finance

by ; ;
  • ISBN13:

    9780198567769

  • ISBN10:

    0198567766

  • Format: Hardcover
  • Copyright: 2006-11-30
  • Publisher: Oxford University Press

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Summary

This respected high-level text is aimed at students and professionals working on random processes in various areas, including physics and finance. The first author, Melvin Lax (1922-2002) was a distinguished Professor of Physics at City College of New Yor

Author Biography


Melvin Lax (Deceased)
Distinguished Professor of Physics
City College of New York
Melvin Lax was a Distinguished Professor of Physics at the City College of the City University of New York (1971-2002), and a member of the U. S. National Academy of Sciences (1983-2002).
He has been associated with Bell Laboratories as a member of the technical staff (1955-1972), as head of the Theoretical Physics Research Department (1962-1964) and as consultant to the Solid State Electronics Research Laboratory.
After receiving his PhD in Physics from MIT (1947), Dr. Lax advanced from assistant to full professor of Physics at Syracuse University, (1947-55). He has also taught at Princeton (Spring 1961) and at Oxford (1961-1962). Dr. lax has published more than 200 papers.
In 1999 Lax shared the Willis Lamb Medal for Laser Science and Quantum Optics.
Dr. Lax was listed Who's Who in America.
Wei Cai
Senior research staff
Institute for Ultrafast Spectroscopy and lasers
Department of Physics
City College of New York
Wei Cai received Ph. D degree in Physics from University of Houston in 1985. He also received a MS degree in computer science from City College of City University of New York in 1992. He joined the Department of Physics at the City College of the City University of New York as a research associate in 1985. Recently, he is a senior member of the research staff at the Institute for Ultrafast Spectroscopy and Lasers. His main research interests are in radiative transfer and optical image processing. He has published 55 papers and holds 4 U. S. Patent.
Min Xu
Research staff
Institute for Ultrafast Spectroscopy and lasers
Department of Physics
City College of New York
Min Xu received Ph. D degree in Physics from City University of New York in 2001. He is currently a research associate at the Institute for Ultrafast Spectroscopy and Lasers. He works at the interface of physics, engineering and biomedical sciences. His main research interests are in optical physics, stochastic processes and inverse problems in physical and biological sciences, in particular, biomedical optical spectroscopy and imaging. He has published 30 peer-reviewed journal papers and holds 1 U. S. Patent.

Table of Contents

A Note from Co-authors xiv
Review of probability
1(43)
Meaning of probability
1(3)
Distribution functions
4(1)
Stochastic variables
5(1)
Expectation values for single random variables
5(2)
Characteristic functions and generating functions
7(1)
Measures of dispersion
8(4)
Joint events
12(4)
Conditional probabilities and Bayes' theorem
16(3)
Sums of random variables
19(5)
Fitting of experimental observations
24(5)
Multivariate normal distributions
29(3)
The laws of gambling
32(3)
Appendix A: The Dirac delta function
35(5)
Appendix B: Solved problems
40(4)
What is a random process
44(4)
Multitime probability description
44(1)
Conditional probabilities
44(1)
Stationary, Gaussian and Markovian processes
45(1)
The Chapman--Kolmogorov condition
46(2)
Examples of Markovian processes
48(21)
The Poisson process
48(2)
The one dimensional random walk
50(2)
Gambler's ruin
52(2)
Diffusion processes and the Einstein relation
54(2)
Brownian motion
56(1)
Langevin theory of velocities in Brownian motion
57(3)
Langevin theory of positions in Brownian motion
60(4)
Chaos
64(1)
Appendix A: Roots for the gambler's ruin problem
64(2)
Appendix B: Gaussian random variables
66(3)
Spectral measurement and correlation
69(13)
Introduction: An approach to the spectrum of a stochastic process
69(1)
The definitions of the noise spectrum
69(2)
The Wiener--Khinchine theorem
71(2)
Noise measurements
73(2)
Evenness in ω of the noise?
75(2)
Noise for nonstationary random variables
77(3)
Appendix A: Complex variable notation
80(2)
Thermal noise
82(11)
Johnson noise
82(2)
Equipartition
84(1)
Thermodynamic derivation of Johnson noise
85(2)
Nyquist's theorem
87(3)
Nyquist noise and the Einstein relation
90(1)
Frequency dependent diffusion constant
90(3)
Shot noise
93(20)
Definition of shot noise
93(2)
Campbell's two theorems
95(3)
The spectrum of filtered shot noise
98(3)
Transit time effects
101(3)
Electromagnetic theory of shot noise
104(2)
Space charge limiting diode
106(3)
Rice's generalization of Campbell's theorems
109(4)
The fluctuation--dissipation theorem
113(16)
Summary of ideas and results
113(4)
Density operator equations
117(2)
The response function
119(2)
Equilibrium theorems
121(1)
Hermiticity and time reversal
122(1)
Application to a harmonic oscillator
123(3)
A reservoir of harmonic oscillators
126(3)
Generalized Fokker--Planck equation
129(39)
Objectives
129(2)
Drift vectors and diffusion coefficients
131(3)
Average motion of a general random variable
134(3)
The generalized Fokker--Planck equation
137(2)
Generation--recombination (birth and death) process
139(4)
The characteristic function
143(3)
Path integral average
146(3)
Linear damping and homogeneous noise
149(3)
The backward equation
152(1)
Extension to many variables
153(7)
Time reversal in the linear case
160(2)
Doob's theorem
162(1)
A historical note and summary (M. Lax)
163(1)
Appendix A: A method of solution of first order PDEs
164(4)
Langevin processes
168(14)
Simplicity of Langevin methods
168(1)
Proof of delta correlation for Markovian processes
169(2)
Homogeneous noise with linear damping
171(2)
Conditional correlations
173(2)
Generalized characteristic functions
175(2)
Generalized shot noise
177(3)
Systems possessing inertia
180(2)
Langevin treatment of the Fokker--Planck process
182(12)
Drift velocity
182(2)
An example with an exact solution
184(2)
Langevin equation for a general random variable
186(2)
Comparison with Ito's calculus lemma
188(1)
Extending to the multiple dimensional case
189(2)
Means of products of random variables and noise source
191(3)
The rotating wave van del Pol oscillator (RWVP)
194(17)
Why is the laser line-width so narrow?
194(1)
An oscillator with purely resistive nonlinearities
195(2)
The diffusion coefficient
197(2)
The van der Pol oscillator scaled to canonical form
199(1)
Phase fluctuations in a resistive oscillator
200(5)
Amplitude fluctuations
205(2)
Fokker--Planck equation for RWVP
207(1)
Eigenfunctions of the Fokker--Planck operator
208(3)
Noise in homogeneous semiconductors
211(16)
Density of states and statistics of free carriers
211(4)
Conductivity fluctuations
215(1)
Thermodynamic treatment of carrier fluctuations
216(2)
General theory of concentration fluctuations
218(4)
Influence of drift and diffusion on modulation noise
222(5)
Random walk of light in turbid media
227(10)
Introduction
227(2)
Microscopic statistics in the direction space
229(3)
The generalized Poisson distribution pn(t)
232(1)
Macroscopic statistics
233(4)
Analytical solution of the elastic transport equation
237(21)
Introduction
237(1)
Derivation of cumulants to an arbitrarily high order
238(4)
Gaussian approximation of the distribution function
242(3)
Improving cumulant solution of the transport equation
245(13)
Signal extraction in presence of smoothing and noise
258(13)
How to deal with ill-posed problems
258(1)
Solution concepts
259(2)
Methods of solution
261(3)
Well-posed stochastic extensions of ill-posed processes
264(2)
Shaw's improvement of Franklin's algorithm
266(2)
Statistical regularization
268(2)
Image restoration
270(1)
Stochastic methods in investment decision
271(17)
Forward contracts
271(1)
Futures contracts
272(1)
A variety of futures
273(1)
A model for stock prices
274(4)
The Ito's stochastic differential equation
278(3)
Value of a forward contract on a stock
281(1)
Black--Scholes differential equation
282(1)
Discussion
283(3)
Summary
286(2)
Spectral analysis of economic time series
288(19)
Overview
288(3)
The Wiener--Khinchine and Wold theorems
291(2)
Means, correlations and the Karhunen--Loeve theorem
293(2)
Slepian functions
295(3)
The discrete prolate spheroidal sequence
298(2)
Overview of Thomson's procedure
300(1)
High resolution results
301(1)
Adaptive weighting
302(1)
Trend removal and seasonal adjustment
303(1)
Appendix A: The sampling theorem
303(4)
Bibliography 307(16)
Index 323

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