Skip to main content
Top

2016 | OriginalPaper | Chapter

Mean-Field Limits Beyond Ordinary Differential Equations

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

We study the limiting behaviour of stochastic models of populations of interacting agents, as the number of agents goes to infinity. Classical mean-field results have established that this limiting behaviour is described by an ordinary differential equation (ODE) under two conditions: (1) that the dynamics is smooth; and (2) that the population is composed of a finite number of homogeneous sub-populations, each containing a large number of agents. This paper reviews recent work showing what happens if these conditions do not hold. In these cases, it is still possible to exhibit a limiting regime at the price of replacing the ODE by a more complex dynamical system. In the case of non-smooth or uncertain dynamics, the limiting regime is given by a differential inclusion. In the case of multiple population scales, the ODE is replaced by a stochastic hybrid automaton.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
In fact, Lipschitz continuity is satisfied only locally, but this enough for mean field convergence to work.
 
2
A sequence of distributions is \(\pi ^N\) tight if their probability does not escape to infinity, i.e. for each \(\epsilon \) there is a compact set K such that \(\pi ^N(K)\ge 1-\epsilon \) for each N.
 
3
G is upper-hemicontinuous if for all \(x,y\in \mathbb {R}^d\), \(x_n\in \mathbb {R}^d\), \(y_n\in F(x_n)\), \(\lim _{n\rightarrow \infty }x_n=x\) and \(\lim _{n\rightarrow \infty }y_n=y\), then \(y\in F(x)\).
 
4
In fact, weak convergence holds for \((\mathbf {z},\mathbf {y})\) as processes in the Skorokhod space of cadlag functions, see [8]. For a definition of weak convergence, see [5].
 
5
In [8], weights are introduced to solve non-determinism between instantaneous transitions. Furthermore, the possibility of seeing a chain of instantaneous events firing is taken into account. Termination of this chain is discussed in [15] (where it is proved undecidable for countable state spaces), and in [27], where sufficient and testable conditions for termination are given.
 
Literature
1.
go back to reference Andersson, H., Britton, T.: Stochastic Epidemic Models and Their Statistical Analysis. Springer, Heidelberg (2000)CrossRefMATH Andersson, H., Britton, T.: Stochastic Epidemic Models and Their Statistical Analysis. Springer, Heidelberg (2000)CrossRefMATH
4.
go back to reference Benaim, M., Le Boudec, J.-Y.: A class of mean field interaction models for computer and communication systems. Perform. Eval. 65(11), 823–838 (2008)CrossRef Benaim, M., Le Boudec, J.-Y.: A class of mean field interaction models for computer and communication systems. Perform. Eval. 65(11), 823–838 (2008)CrossRef
5.
go back to reference Billingsley, P.: Probability and Measure. English. Wiley, Hoboken (2012). ISBN: 9781118122372 1118122372MATH Billingsley, P.: Probability and Measure. English. Wiley, Hoboken (2012). ISBN: 9781118122372 1118122372MATH
6.
go back to reference Bortolussi, L., Gast, N.: Mean field approximation of imprecise population processes. QUANTICOL Technical report TR-QC-07-2015 (2015) Bortolussi, L., Gast, N.: Mean field approximation of imprecise population processes. QUANTICOL Technical report TR-QC-07-2015 (2015)
8.
go back to reference Bortolussi, L.: Hybrid behaviour of Markov population models. In: Information and Computation (2015) Bortolussi, L.: Hybrid behaviour of Markov population models. In: Information and Computation (2015)
11.
go back to reference Bortolussi, L., Lanciani, R.: Fluid model checking of timed properties. In: Sankaranarayanan, S., Vicario, E. (eds.) FORMATS 2015. LNCS, vol. 9268, pp. 172–188. Springer, Heidelberg (2015)CrossRef Bortolussi, L., Lanciani, R.: Fluid model checking of timed properties. In: Sankaranarayanan, S., Vicario, E. (eds.) FORMATS 2015. LNCS, vol. 9268, pp. 172–188. Springer, Heidelberg (2015)CrossRef
12.
go back to reference Bortolussi, L., Lanciani, R.: Model checking Markov population models by central limit approximation. In: Joshi, K., Siegle, M., Stoelinga, M., DArgenio, P.R. (eds.) QEST 2013. LNCS, vol. 8054, pp. 123–138. Springer, Heidelberg (2013)CrossRef Bortolussi, L., Lanciani, R.: Model checking Markov population models by central limit approximation. In: Joshi, K., Siegle, M., Stoelinga, M., DArgenio, P.R. (eds.) QEST 2013. LNCS, vol. 8054, pp. 123–138. Springer, Heidelberg (2013)CrossRef
13.
go back to reference Bortolussi, L., Lanciani, R.: Stochastic approximation of global reachability probabilities of Markov population models. In: Horvath, A., Wolter, K. (eds.) EPEW 2014. LNCS, vol. 8721, pp. 224–239. Springer, Heidelberg (2014) Bortolussi, L., Lanciani, R.: Stochastic approximation of global reachability probabilities of Markov population models. In: Horvath, A., Wolter, K. (eds.) EPEW 2014. LNCS, vol. 8721, pp. 224–239. Springer, Heidelberg (2014)
14.
go back to reference Bortolussi, L., Policriti, A.: Dynamical systems and stochastic programming: to ordinary differential equations and back. In: Priami, C., Back, R.-J., Petre, I. (eds.) Transactions on Computational Systems Biology XI. LNCS, vol. 5750, pp. 216–267. Springer, Heidelberg (2009)CrossRef Bortolussi, L., Policriti, A.: Dynamical systems and stochastic programming: to ordinary differential equations and back. In: Priami, C., Back, R.-J., Petre, I. (eds.) Transactions on Computational Systems Biology XI. LNCS, vol. 5750, pp. 216–267. Springer, Heidelberg (2009)CrossRef
16.
go back to reference Bortolussi, L., Policriti, A.: Hybrid dynamics of stochastic programs. Theor. Comput. Sci. 411(20), 2052–2077 (2010). ISSN: 0304-3975MathSciNetCrossRefMATH Bortolussi, L., Policriti, A.: Hybrid dynamics of stochastic programs. Theor. Comput. Sci. 411(20), 2052–2077 (2010). ISSN: 0304-3975MathSciNetCrossRefMATH
17.
go back to reference Chaintreau, A., Le Boudec, J.-Y., Ristanovic, N.: The age of gossip: spatial mean field regime. In: Proceedings of the ACM SIGMETRICS, vol. 37, issue 1, pp. 109–120. ACM (2009) Chaintreau, A., Le Boudec, J.-Y., Ristanovic, N.: The age of gossip: spatial mean field regime. In: Proceedings of the ACM SIGMETRICS, vol. 37, issue 1, pp. 109–120. ACM (2009)
20.
23.
go back to reference Durrett, R.: Essentials of Stochastic Processes. Springer, Heidelberg (2012). ISBN: 9781461436157CrossRefMATH Durrett, R.: Essentials of Stochastic Processes. Springer, Heidelberg (2012). ISBN: 9781461436157CrossRefMATH
24.
go back to reference Fricker, C., Gast, N.: Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity. EURO J. Trans. Logistics, 1–31 (2014) Fricker, C., Gast, N.: Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity. EURO J. Trans. Logistics, 1–31 (2014)
25.
go back to reference Fricker, C., Gast, N., Mohamed, H.: Mean field analysis for inhomogeneous bike sharing systems. DMTCS Proc. 01, 365–376 (2012)MathSciNetMATH Fricker, C., Gast, N., Mohamed, H.: Mean field analysis for inhomogeneous bike sharing systems. DMTCS Proc. 01, 365–376 (2012)MathSciNetMATH
26.
go back to reference Galpin, V.: Spatial representations, analysis techniques. In: SFM (2016) Galpin, V.: Spatial representations, analysis techniques. In: SFM (2016)
27.
go back to reference Galpin, V., Bortolussi, L., Hillston, J.: HYPE: hybrid modelling by composition of flows. Formal Aspects Comput. 25(4), 503–541 (2013)MathSciNetCrossRefMATH Galpin, V., Bortolussi, L., Hillston, J.: HYPE: hybrid modelling by composition of flows. Formal Aspects Comput. 25(4), 503–541 (2013)MathSciNetCrossRefMATH
28.
go back to reference Gast, N., Gaujal, B.: Markov chains with discontinuous drifts have differential inclusion limits. Perform. Eval. 69(12), 623–642 (2012)CrossRef Gast, N., Gaujal, B.: Markov chains with discontinuous drifts have differential inclusion limits. Perform. Eval. 69(12), 623–642 (2012)CrossRef
29.
go back to reference Gast, N., Gaujal, B.: Mean field limit of non-smooth systems and differential inclusions. ACM SIGMETRICS Perform. Eval. Rev. 38(2), 30–32 (2010)CrossRef Gast, N., Gaujal, B.: Mean field limit of non-smooth systems and differential inclusions. ACM SIGMETRICS Perform. Eval. Rev. 38(2), 30–32 (2010)CrossRef
30.
go back to reference Gast, N., Le Boudec, J.-Y., Tomozei, D.-C.: Impact of demand-response on the efficiency, prices in real-time electricity markets. In: Proceedings of the 5th International Conference on Future Energy Systems, pp. 171–182. ACM (2014) Gast, N., Le Boudec, J.-Y., Tomozei, D.-C.: Impact of demand-response on the efficiency, prices in real-time electricity markets. In: Proceedings of the 5th International Conference on Future Energy Systems, pp. 171–182. ACM (2014)
31.
go back to reference Gast, N., Van Houdt, B.: Transient and steady-state regime of a family of list-based cache replacement algorithms. In: ACM SIGMETRICS 2015 (2015) Gast, N., Van Houdt, B.: Transient and steady-state regime of a family of list-based cache replacement algorithms. In: ACM SIGMETRICS 2015 (2015)
34.
go back to reference Hu, L., Le Boudec, J.-Y., Vojnoviae, M.: Optimal channel choice for collaborative ad-hoc dissemination. In: 2010 Proceedings of the IEEE INFOCOM, pp. 1–9. IEEE (2010) Hu, L., Le Boudec, J.-Y., Vojnoviae, M.: Optimal channel choice for collaborative ad-hoc dissemination. In: 2010 Proceedings of the IEEE INFOCOM, pp. 1–9. IEEE (2010)
35.
go back to reference Huang, M., Malhame, R.P., Caines, P.E., et al.: Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle. Commun. Inf. Syst. 6(3), 221–252 (2006)MathSciNetMATH Huang, M., Malhame, R.P., Caines, P.E., et al.: Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle. Commun. Inf. Syst. 6(3), 221–252 (2006)MathSciNetMATH
36.
go back to reference Katoen, J.-P., Khattri, M., Zapreevt, I.S.: A Markov reward model checker. In: Second International Conference on the Quantitative Evaluation of Systems, pp. 243–244 (2005). Accessed 18 Jan 2014 Katoen, J.-P., Khattri, M., Zapreevt, I.S.: A Markov reward model checker. In: Second International Conference on the Quantitative Evaluation of Systems, pp. 243–244 (2005). Accessed 18 Jan 2014
37.
go back to reference Kurtz, T.: Solutions of ordinary differential equations as limits of pure jump Markov processes. J. Appl. Probab. 7, 49–58 (1970)MathSciNetCrossRefMATH Kurtz, T.: Solutions of ordinary differential equations as limits of pure jump Markov processes. J. Appl. Probab. 7, 49–58 (1970)MathSciNetCrossRefMATH
41.
go back to reference Le Boudec, J.-Y.: Performance Evaluation of Computer and Communication Systems. EPFL Press, Lausanne (2010)MATH Le Boudec, J.-Y.: Performance Evaluation of Computer and Communication Systems. EPFL Press, Lausanne (2010)MATH
42.
go back to reference Loreti, M.: Modeling and analysis of collective adaptive systems with CARMA and its tools. In: SFM (2016) Loreti, M.: Modeling and analysis of collective adaptive systems with CARMA and its tools. In: SFM (2016)
43.
go back to reference Mitzenmacher, M.: The power of two choices in randomized load balancing. IEEE Trans. Parallel Distrib. Syst. 12(10), 1094–1104 (2001)CrossRef Mitzenmacher, M.: The power of two choices in randomized load balancing. IEEE Trans. Parallel Distrib. Syst. 12(10), 1094–1104 (2001)CrossRef
44.
go back to reference Norris, J.R.: Markov Chains. English. Cambridge University Press, Cambridge (1998). ISBN: 978-0-511-81063-3 0-511-81063-6 Norris, J.R.: Markov Chains. English. Cambridge University Press, Cambridge (1998). ISBN: 978-0-511-81063-3 0-511-81063-6
46.
go back to reference Todorov, E.: Optimal control theory. In: Bayesian Brain: Probabilistic Approaches to Neural Coding, pp. 269–298 (2006) Todorov, E.: Optimal control theory. In: Bayesian Brain: Probabilistic Approaches to Neural Coding, pp. 269–298 (2006)
49.
51.
go back to reference Wilkinson, D.: Stochastic Modelling for Systems Biology. Chapman & Hall, Florida (2006)MATH Wilkinson, D.: Stochastic Modelling for Systems Biology. Chapman & Hall, Florida (2006)MATH
52.
go back to reference Yang, T., Mehta, P.G., Meyn, S.P.: A mean-field control-oriented approach to particle filtering. In: American Control Conference (ACC), pp. 2037–2043. IEEE (2011) Yang, T., Mehta, P.G., Meyn, S.P.: A mean-field control-oriented approach to particle filtering. In: American Control Conference (ACC), pp. 2037–2043. IEEE (2011)
53.
go back to reference Ying, L.: On the rate of convergence of mean-field models: Stein’s method meets the perturbation theory. arXiv preprint arXiv:1510.00761 (2015) Ying, L.: On the rate of convergence of mean-field models: Stein’s method meets the perturbation theory. arXiv preprint arXiv:​1510.​00761 (2015)
Metadata
Title
Mean-Field Limits Beyond Ordinary Differential Equations
Authors
Luca Bortolussi
Nicolas Gast
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-34096-8_3

Premium Partner