Skip to main content
Log in

Fluctuation of the free energy in the Hopfield model

  • Articles
  • Published:
Journal of Statistical Physics Aims and scope Submit manuscript

Abstract

We prove that in the ergodic region [T>J 2(1 + rα)] the deviation of the total free energy of the Hopfield neural network converges in distribution asN → ∞ to a (shifted) Gaussian variable. Moreover, the free energy per site converges in probability to lim(1/N)ln≪ℤ N ≫.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. Aizenman, J. L. Lebowitz, and D. Ruelle,Commun. Math. Phys. 112:3–20 (1987).

    Google Scholar 

  2. D. Amit, M. Gutfreund, and A. Sampolinsky,Phys. Rev. A 35:2283 (1987);Ann. Phys. 173:30 (1987).

    Google Scholar 

  3. K. M. Kanin and Ya. G. Sinai,J. Stat. Phys. 20:573 (1979).

    Google Scholar 

  4. L. Pastur and M. Sherbina,J. Stat. Phys. 62:1 (1991).

    Google Scholar 

  5. S. Albeverio, B. Zegarlinski, and B. Tirozzi, Rigorous results for the free energy in the Hopfield model, Preprint.

  6. J. L. Van Hemmen,Phys. Rev. A 34:3435–3445 (1986).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Scacciatelli, E., Tirozzi, B. Fluctuation of the free energy in the Hopfield model. J Stat Phys 67, 981–1008 (1992). https://doi.org/10.1007/BF01049007

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01049007

Key words

Navigation