Skip to main content

Functional Methods in Stochastic Systems

  • Conference paper
Book cover Mathematical Modeling and Computational Science (MMCP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7125))

Abstract

Field-theoretic construction of functional representations of solutions of stochastic differential equations and master equations is reviewed. A generic expression for the generating function of Green functions of stochastic systems is put forward. Relation of ambiguities in stochastic differential equations and in the functional representations is discussed. Ordinary differential equations for expectation values and correlation functions are inferred with the aid of a variational approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Doi, M.: Second quantization representation for classical many-particle system. J. Phys. A: Math. Gen. 9, 1465–1477 (1976)

    Article  Google Scholar 

  2. Gardiner, C.W.: Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences. Springer, Berlin (1997)

    MATH  Google Scholar 

  3. Hnatich, M., Honkonen, J.: Velocity-fluctuation-induced anomalous kinetics of the A + A → ∅ reaction. Phys. Rev. E 61, 3904–3911 (2000)

    Article  Google Scholar 

  4. Honkonen, J., Komarova, M.V., Nalimov, M.: Instantons for Dynamic Models from B to H. Nucl. Phys. B 714 [FS], 292–306 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  5. Honkonen, J., Komarova, M.V., Nalimov, M.Y.: Large-Order Asymptotes For Dynamic Models Near Equilibrium. Nucl. Phys. B 707[FS], 493–508 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  6. Lee, B.P.: Renormalization group calculation for the reaction kA → ∅. J. Phys. A: Math. Gen. 27, 2633–2652 (1994)

    Article  Google Scholar 

  7. Leschke, H., Schmutz, M.: Operator Orderings and Functional Formulations of Quantum and Stochastic Dynamics. Z. Physik B 27, 85–94 (1977)

    Article  MathSciNet  Google Scholar 

  8. Martin, P.C., Siggia, E.D., Rose, H.A.: Statistical Dynamics of Classical Systems. Phys. Rev. A 8, 423–437 (1973)

    Article  Google Scholar 

  9. Vasiliev, A.N.: Functional Methods in Quantum Field Theory and Statistical Physics. Gordon and Breach, Amsterdam (1998)

    MATH  Google Scholar 

  10. Vasil’ev, A.N.: The Field Theoretic Renormalization Group in Critical Behavior Theory and Stochastic Dynamics. Chapman & Hall/CRC, Boca Raton (2004)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Honkonen, J. (2012). Functional Methods in Stochastic Systems. In: Adam, G., Buša, J., Hnatič, M. (eds) Mathematical Modeling and Computational Science. MMCP 2011. Lecture Notes in Computer Science, vol 7125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28212-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28212-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28211-9

  • Online ISBN: 978-3-642-28212-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics