Strong Law of Large Numbers of the Offspring Empirical Measure for Markov Chains Indexed by Homogeneous Tree

Author

Huang, Huilin

Source

ISRN Applied Mathematics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-04-03

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

We study the limit law of the offspring empirical measure and for Markov chains indexed by homogeneous tree with almost everywhere convergence.

Then we prove a Shannon-McMillan theorem with the convergence almost everywhere.

American Psychological Association (APA)

Huang, Huilin. 2012. Strong Law of Large Numbers of the Offspring Empirical Measure for Markov Chains Indexed by Homogeneous Tree. ISRN Applied Mathematics،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-479538

Modern Language Association (MLA)

Huang, Huilin. Strong Law of Large Numbers of the Offspring Empirical Measure for Markov Chains Indexed by Homogeneous Tree. ISRN Applied Mathematics No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-479538

American Medical Association (AMA)

Huang, Huilin. Strong Law of Large Numbers of the Offspring Empirical Measure for Markov Chains Indexed by Homogeneous Tree. ISRN Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-479538

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-479538