Skip to main content
Log in

The Coverage Ratio of the Frog Model on Complete Graphs

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

Abstract

The frog model is a system of interacting random walks. Initially, there is one particle at each vertex of a connected graph. All particles are inactive at time zero, except for the one which is placed at the root of the graph, which is active. At each instant of time, each active particle may die with probability \(1-p\). Once an active particle survives, it jumps on one of its nearest vertices, chosen with uniform probability, performing a discrete time simple symmetric random walk (SRW). Up to the time it dies, it activates all inactive particles it hits along its way. From the moment they are activated, every such particle starts to walk, performing exactly the same dynamics, independent of everything else. In this paper, we consider the \(n-\)complete graph (a finite graph with each pair of vertices linked by an edge). We study the limit in n of the coverage ratio, that is, the proportion of visited vertices by some active particle up to the end of the process, after all active particles have died.

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

Data Availability

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

References

  1. Andersson, H., Britton, T.: Stochastic epidemic models and their statistical analysis. Springer, New York (2000)

    Book  MATH  Google Scholar 

  2. Alves, O.S.M., Lebensztayn, E., Machado, F.P., Martinez, M.Z.: Random walks systems on complete graphs. Bull. Brazilian Math. Society (N.S.) 37(4), 571–580 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  3. Alves, O.S.M., Machado, F.P., Popov, S.: Phase transition for the frog model. Electron. J. Probab. 7(16), 1–21 (2002)

    MathSciNet  MATH  Google Scholar 

  4. Alves, O.S.M., Machado, F.P., Popov, S.: The shape theorem for the frog model. Ann. Appl. Probab. 12(2), 533–546 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  5. Benjamini, I., Fontes, L.R., Hermon, J., Machado, F.P.: On an epidemic model on finite graphs. Ann. Appl. Probab. 30(1), 208–258 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  6. Grimmett, G.R.: Probability on graphs: random processes on graphs and lattices, 2nd edn. Cambridge University Press, Cambridge (2018)

    Book  MATH  Google Scholar 

  7. Grimmett, G.R., Stirzaker, D.R.: Probability random processes, 3rd edn. Oxford University Press, Oxford (2001)

    MATH  Google Scholar 

  8. Hermon, J.: Frogs on trees? Electron. J. Probab. 23(17), 1–40 (2018)

    MathSciNet  MATH  Google Scholar 

  9. Hoffman, C., Johnson, T., Junge, M.: Recurrence and transience for the frog model on trees. Ann. Probab. 45(5), 2826–2854 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  10. Hoffman, C., Johnson, T., Junge, M.: Cover time for the frog model on trees. Forum Math., Sigma 7(e41), 1–49 (2019)

    MathSciNet  MATH  Google Scholar 

  11. Kosygina, E., Zerner, M.P.W.: A zero-one law for recurrence and transience of frog processes. Prob. Theory Related Fields 168(1–2), 317–346 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  12. Lebensztayn, E., Estrada, M.A.: Laws of large numbers for the frog model on the complete graph. J. Math. Phys. 60, 123302 (2019)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  13. Lebensztayn, E., Rodriguez, P.M.: A connection between a system of random walks and rumor transmission. Phys. A: Stat. Mech. Appl. 392(23), 5793–5800 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  14. Mitzenmacher, M., Upfal, E.: Probability and computing: randomized algorithms and probabilistic analysis. Cambridge University Press, Cambridge (2005)

    Book  MATH  Google Scholar 

  15. Popov, S.: Frogs in random environment. J. Stat. Phys. 102(1), 191–201 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  16. Machado, F.P., Kurtz, T., Lebensztayn, E., Leichsenring, A.: Limit theorems for an epidemic model on the complete graph. Latin Am. J. Probab. Math. Stat. 4, 45–55 (2008)

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fábio P. Machado.

Ethics declarations

Conflict of interest

The authors have no conflicts to disclose.

Additional information

Communicated by Gregory Schehr.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Research supported by Capes (88887.676435/2022-00), CNPq (303699/2018-3 and 132598/2020-5), FAPESP (17/10555-0).

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Carvalho, G.O., Machado, F.P. The Coverage Ratio of the Frog Model on Complete Graphs. J Stat Phys 190, 147 (2023). https://doi.org/10.1007/s10955-023-03156-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10955-023-03156-w

Keywords

Mathematics Subject Classification (2010)

Navigation