Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Measure-valued limits of interacting particle systems with k-nary interactions. II, Finite-dimensional limits

Tools
- Tools
+ Tools

Kolokoltsov, V. N. (Vasiliĭ Nikitich). (2004) Measure-valued limits of interacting particle systems with k-nary interactions. II, Finite-dimensional limits. Stochastics and Stochastics Reports, Vol.76 (No.1). pp. 45-58. ISSN 1045-1129

[img]
Preview
PDF
WRAP_Kolokoltsov_measurevalued2.pdf - Submitted Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (201Kb)
Official URL: http://dx.doi.org/10.1080/10451120410001661241

Abstract

It is shown that Markov chains in Z+d describing k-nary interacting particles of d different types approximate (in the continuous state limit) Markov processes on R+d having pseudo-differential generators p (x,i (/x)) with symbols p (x,) depending polynomially (degree k) on x. This approximation can be used to prove existence and non-explosion results for the latter processes. Our general scheme of continuous state (or finite-dimensional measure-valued) limits to processes of k-nary interaction yields a unified description of these limits for a large variety of models that are intensively studied in different domains of natural science from interacting particles in statistical mechanics (e.g. coagulation-fragmentation processes) to evolutionary games and multidimensional birth and death processes from biology and social sciences.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Markov processes, Particles -- Mathematical models
Journal or Publication Title: Stochastics and Stochastics Reports
Publisher: Taylor & Francis
ISSN: 1045-1129
Date: 2004
Volume: Vol.76
Number: No.1
Page Range: pp. 45-58
Identification Number: 10.1080/10451120410001661241
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
References: 1. D.J. Aldous. Deterministic and stochastic models for coalescence (aggrega- tion and coagulation): a review of the mean-¯eld theory for probabilists. Bernoulli 5:2 (1999), 3-48. 2. W.J. Anderson. Continuous -Time Markov Chains. Probability and its Applications. Springer Series in Statistics. Springer 1991. 3. V.P. Belavkin. Quantum branching processes and nonlinear dynamics of multi-quantum systems. Dokl. Acad. Nauk SSSR 301:6 (1988), 1348-1352. Engl. Tansl. in Sov. Math. Dokl. 4. V. Belavkin, V. Kolokoltsov. On general kinetic equation for many particle systems with interaction, fragmentation and coagulation. Proc. Royal Soc. Lond. A 459 (2003), 727-748. 5. R. Boylan. Laws of large numbers for dynamical systems with randomly matched individuals. Journal of Economic Theory 57 (1992), 473-504. 6. P. Br¶emaud. Markov Chains. Texts in Applied Mathematics, v. 31, Springer 1999. 7. Mu Fa Chen. From Markov Chains to Non-Equilibrium Particle Systems. World Scienti¯c 1992. 8. V. Corradi, R. Sarin. Continuous Approximations of Stochastic Evolution- ary Game Dynamics. J. of Economic Theory 94 (2000), 163-191. 9. E. Dynkin. An Introduction to Branching Measure-Valued Processes. CRM monograph series 6, AMS, Providence RI, 1994. 10. A.M. Etheridge. An Introduction to Superprocesses. University Lecture Series 20, AMS, Providence, RI, 2000. 11. S.N. Ethier, T.G. Kurtz. Markov Processes. Characterization and conver- gence. John Wiley Sons 1986. 12. Ch. Hauert, S. De Monte, J. Hofbauer, K. Sigmund. Replicator Dynamics for Optional Public Good Games. J. Theor. Biol 218 (2002), 187-194. 13. W. Hoh. Pseudo-di®erential operators with negative de¯nite symbols and the martingale problem. Stochastics and Stochastics Reports 55 (1995), 225-252. 14. V. Kolokoltsov. Symmetric stable laws and stable-like jump-di®usions. Proc. London Math. Soc. 3:80 (2000), 725-768. 15. V. Kolokoltsov. Semiclassical Analysis for Di®usions and Stochastic Pro- cesses. Springer Lecture Notes in Math. v., 1724, Springer 2000. 16. V. Kolokoltsov. Small di®usion and fast dying out asymptotics for su- perprocesses as non-Hamiltonian quasi-classics for evolution equations. Electronic Journal of Probability 6 (2001), paper 21. 17. V. Kolokoltsov. On Markov processes with decomposable pseudo-di®eren- tial generators. To appear in Stochastics and Stochastics Reports. 18. V. Kolokoltsov. Measure-valued limits of interacting particle systems with k-nary interactions I. Probab. Theory Relat. Fields 126 (2003), 364-394. 19. V. Kolokoltsov. Measure-valued limits of interacting particle systems with k-nary interactions III. Discrete coagulation-fragmentation type models. Submitted to J. Statistical Physics. 20. V. Kolokoltsov. On Extensions of Molli¯ed Boltzmann and Smoluchovski Equations to Particle Systems with a k-nary Interaction. Russian Journal Math. Phys. 10:3 (2003), 268-295. 21. H. Spohn. Large Scale Dynamics of Interacting Particles. Springer-Verlag, 1991. 22. J.W. Weibull. Evolutionary Game Theory. The MIT Press, 1995. 23. H. Wang. A Class of Measure-valued Branching Di®usions in a Random Medium. Stochastic Analysis and Applications 16:4 (1998), 753-786.
URI: http://wrap.warwick.ac.uk/id/eprint/39177

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us