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Mean Field Linear Quadratic Games with Set Up Costs

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Abstract

This paper studies linear quadratic games with set up costs monotonic on the number of active players, namely, players whose action is non-null. Such games arise naturally in joint replenishment inventory systems. Building upon a preliminary analysis of the properties of the best response strategies and Nash equilibria for the given game, the main contribution is the study of the same game under large population. We also analyze the influence of an additional disturbance in the spirit of the literature on H control. Numerical illustrations are provided.

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References

  1. Bagagiolo F, Bauso D (2011) Objective function design for robust optimality of linear control under state-constraints and uncertainty. ESAIM Control Optim Calc Var 17:155–177

    Article  MathSciNet  MATH  Google Scholar 

  2. Bardi M (2012) Explicit solutions of some linear-quadratic mean field games. Netw Heterog Media 7(2):243–261

    Article  MathSciNet  Google Scholar 

  3. Başar T, Bernhard P (1991) H -optimal control and related minimax design problems: a dynamic game approach. Birkhäuser, Basel

    MATH  Google Scholar 

  4. Bauso D, Giarrè L, Pesenti R (2008) Consensus in noncooperative dynamic games: a multiretailer inventory application. Trans Autom Control 53(4):998–1003

    Article  Google Scholar 

  5. Bauso D, Tembine H, Başar T (2012) Robust mean field games with application to production of an exhaustible resource. In: Proceedings of 7th IFAC symposium on robust control design, Aalborg, Denmark, pp 454–459

    Google Scholar 

  6. Bauso D, Zhu Q, Başar T (2012) Mixed integer optimal compensation: decompositions and mean-field approximations. In: Proceedings of 2012 American control conference, Montreal, Montreal, Canada, pp 2663–2668

    Google Scholar 

  7. Elliot NJ, Kalton N (1972) The existence of value in differential games of pursuit and evasion. J Differ Equ 12:504–523

    Article  Google Scholar 

  8. Gueant O, Lasry JM, Lions PL (2010) Mean field games and applications. Paris-Princeton lectures

    Google Scholar 

  9. Huang M, Caines P, Malhamé R (2007) Population cost-coupled lqg problems with non-uniform agents: individual-mass behaviour and decentralized ϵ-Nash equilibria. Trans Autom Control 52(9):1560–1571

    Article  Google Scholar 

  10. Lachapelle A, Salomon J, Turinici G (2010) Computation of mean field equilibria in economics. Math Models Methods Appl Sci 20:1–22

    Article  MathSciNet  Google Scholar 

  11. Lasry JM, Lions PL (2007) Mean field games. Jpn. J. Math. 2

  12. Milchtaich I (1996) Congestion games with player-specific payoff functions. Games Econ Behav 13:111–124

    Article  MathSciNet  MATH  Google Scholar 

  13. Pesenti R, Bauso D (2011) Mean field linear quadratic games with set up costs. In: Proceedings of NetGCoop 2011, Paris, France, pp 1–6

    Google Scholar 

  14. Roxin E (1969) The axiomatic approach in differential games. J Optim Theory Appl 3:153–163

    Article  MathSciNet  MATH  Google Scholar 

  15. Soulaimani AS, Quincampoix M, Sorin S (2009) Approchability theory, discriminating domain and differential games. SIAM J Control Optim 48(4):2461–2479

    Article  MathSciNet  MATH  Google Scholar 

  16. Tembine H, Zhu Q, Basar T (2011) Risk-sensitive mean field stochastic games. In: Proceedings of IFAC world congress, Milan, Italy, pp 3222–3227

    Google Scholar 

  17. Varaiya P (1967) The existence of solution to a differential game. SIAM J Control Optim 5:153–162

    Article  MathSciNet  MATH  Google Scholar 

  18. Watts A (2002) Uniqueness of equilibrium in cost sharing games. J Math Econ 37:47–70

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Raffaele Pesenti.

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Bauso, D., Pesenti, R. Mean Field Linear Quadratic Games with Set Up Costs. Dyn Games Appl 3, 89–104 (2013). https://doi.org/10.1007/s13235-012-0069-0

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