Published July 2008 | Version v1
Journal article

The probability distribution associated with the dichotomic Markov process

  • 1. Computational Physics and Geophysics, Department of Earth Science and Engineering, Imperial College of Science, Technology and Medicine, Prince Consort Road, London SW7 2BP (United Kingdom)

Description

We have calculated the probability distribution function for the dichotomic Markov process using the work of Pomraning [Linear kinetic theory and particle transport in stochastic mixtures. Singapore: World Scientific; 1991] and have studied the rate of convergence to this exact form as the number of terms in a series approximation is increased. Each term in the series involves an additional stochastic moment in the hierarchy of moments. It is observed that convergence is fast near the source but, as the distance from the source increases, more and more moments are required to obtain a specified accuracy

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jqsrt.2008.02.001

Additional details

Identifiers

DOI
10.1016/j.jqsrt.2008.02.001;
PII
S0022-4073(08)00029-0;

Publishing Information

Journal Title
Journal of Quantitative Spectroscopy and Radiative Transfer
Journal Volume
109
Journal Issue
10
Journal Page Range
p. 1771-1777
ISSN
0022-4073
CODEN
JQSRAE

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
40045423
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
APPROXIMATIONS; CONVERGENCE; DISTRIBUTION FUNCTIONS; MARKOV PROCESS; PROBABILITY
Descriptors DEC
CALCULATION METHODS; FUNCTIONS; STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.