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Optimal Distributed Dynamic Advertising

Author

Listed:
  • C. Marinelli

    (Universität Bonn)

  • S. Savin

    (Columbia University)

Abstract

We propose a novel approach to modeling advertising dynamics for a firm operating over a distributed market domain based on controlled partial differential equations of the diffusion type. Using our model, we consider a general type of finite-horizon profit maximization problem in a monopoly setting. By reformulating this profit maximization problem as an optimal control problem in infinite dimensions, we derive sufficient conditions for the existence of its optimal solutions under general profit functions, as well as state and control constraints, and provide a general characterization of the optimal solutions. Sharper, feedback-form characterizations of the optimal solutions are obtained for two variants of the general problem.

Suggested Citation

  • C. Marinelli & S. Savin, 2008. "Optimal Distributed Dynamic Advertising," Journal of Optimization Theory and Applications, Springer, vol. 137(3), pages 569-591, June.
  • Handle: RePEc:spr:joptap:v:137:y:2008:i:3:d:10.1007_s10957-007-9350-6
    DOI: 10.1007/s10957-007-9350-6
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    References listed on IDEAS

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    1. Eric Bradlow & Bart Bronnenberg & Gary Russell & Neeraj Arora & David Bell & Sri Duvvuri & Frankel Hofstede & Catarina Sismeiro & Raphael Thomadsen & Sha Yang, 2005. "Spatial Models in Marketing," Marketing Letters, Springer, vol. 16(3), pages 267-278, December.
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    4. Bart J. Bronnenberg & Vijay Mahajan, 2001. "Unobserved Retailer Behavior in Multimarket Data: Joint Spatial Dependence in Market Shares and Promotion Variables," Marketing Science, INFORMS, vol. 20(3), pages 284-299, October.
    5. Muller, Eitan, 1983. "Trial/awareness advertising decisions : A control problem with phase diagrams with non-stationary boundaries," Journal of Economic Dynamics and Control, Elsevier, vol. 6(1), pages 333-350, September.
    6. Luca Grosset & Bruno Viscolani, 2004. "Advertising for a new product introduction: A stochastic approach," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 149-167, June.
    7. Naufel J. Vilcassim & Vrinda Kadiyali & Pradeep K. Chintagunta, 1999. "Investigating Dynamic Multifirm Market Interactions in Price and Advertising," Management Science, INFORMS, vol. 45(4), pages 499-518, April.
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    Cited by:

    1. Silvia Faggian & Luca Grosset, 2009. "Optimal investment in age-structured goodwill," Working Papers 194, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    2. Giorgio Fabbri & Fausto Gozzi & Andrzej Swiech, 2017. "Stochastic Optimal Control in Infinite Dimensions - Dynamic Programming and HJB Equations," Post-Print hal-01505767, HAL.
    3. Silvia Faggian & Luca Grosset, 2013. "Optimal advertising strategies with age-structured goodwill," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 78(2), pages 259-284, October.
    4. Huang, Jian & Leng, Mingming & Liang, Liping, 2012. "Recent developments in dynamic advertising research," European Journal of Operational Research, Elsevier, vol. 220(3), pages 591-609.
    5. Dominika Bogusz & Mariusz Gorajski, 2014. "Optimal Goodwill Model with Consumer Recommendations and Market Segmentation," Lodz Economics Working Papers 1/2014, University of Lodz, Faculty of Economics and Sociology, revised Oct 2014.

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