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Ergodicity of reversible reaction diffusion processes

Publication ,  Journal Article
Ding, WD; Durrett, R; Liggett, TM
Published in: Probability Theory and Related Fields
March 1, 1990

Reaction-diffusion processes were introduced by Nicolis and Prigogine, and Haken. Existence theorems have been established for most models, but not much is known about ergodic properties. In this paper we study a class of models which have a reversible measure. We show that the stationary distribution is unique and is the limit starting from any initial distribution. © 1990 Springer-Verlag.

Duke Scholars

Published In

Probability Theory and Related Fields

DOI

EISSN

1432-2064

ISSN

0178-8051

Publication Date

March 1, 1990

Volume

85

Issue

1

Start / End Page

13 / 26

Related Subject Headings

  • Statistics & Probability
  • 0104 Statistics
  • 0102 Applied Mathematics
  • 0101 Pure Mathematics
 

Citation

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Chicago
ICMJE
MLA
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Ding, W. D., Durrett, R., & Liggett, T. M. (1990). Ergodicity of reversible reaction diffusion processes. Probability Theory and Related Fields, 85(1), 13–26. https://doi.org/10.1007/BF01377624
Ding, W. D., R. Durrett, and T. M. Liggett. “Ergodicity of reversible reaction diffusion processes.” Probability Theory and Related Fields 85, no. 1 (March 1, 1990): 13–26. https://doi.org/10.1007/BF01377624.
Ding WD, Durrett R, Liggett TM. Ergodicity of reversible reaction diffusion processes. Probability Theory and Related Fields. 1990 Mar 1;85(1):13–26.
Ding, W. D., et al. “Ergodicity of reversible reaction diffusion processes.” Probability Theory and Related Fields, vol. 85, no. 1, Mar. 1990, pp. 13–26. Scopus, doi:10.1007/BF01377624.
Ding WD, Durrett R, Liggett TM. Ergodicity of reversible reaction diffusion processes. Probability Theory and Related Fields. 1990 Mar 1;85(1):13–26.
Journal cover image

Published In

Probability Theory and Related Fields

DOI

EISSN

1432-2064

ISSN

0178-8051

Publication Date

March 1, 1990

Volume

85

Issue

1

Start / End Page

13 / 26

Related Subject Headings

  • Statistics & Probability
  • 0104 Statistics
  • 0102 Applied Mathematics
  • 0101 Pure Mathematics