Abstract
Two classes of two- and three-person games on polyhedral sets of player strategies that appear in estimating fair shares of the market participants in a marketplace are considered. In games from both classes, payoff functions of the players are sums of linear functions of vector arguments or those of linear ones and a bilinear function. Games from the first class are those in which player strategies are connected, i.e., they cannot be chosen by the players independently, whereas player strategies in games from the second class are disjoint. For the games from both classes either sufficient or necessary and sufficient conditions of the equilibriums are provided, and these conditions allow one to calculate the equilibriums by effective optimization techniques. This fact contributes to making the equilibrium concept a productive approach to quantitatively analyzing conflicts in systems economic studies. Economic problems that appear in systems described by nonlinear mathematical models with linear constraints, in particular, by some network models, including (a) restructuring a company and positioning the restructured company in a market or in several markets, (b) forming a pool of regional clients interested in selling their products and in buying somebody else’s ones outside their regions via forward contracts offered by regional brokers, (c) determining initial prices for procurement contracts to be tendered by a public administration, (d) finding competitive transportation tariffs by a railroad company competing with tracking companies for providing transportation services both in a region and between two regions, (e) calculating an optimal volume of producing electricity by a base load power plant in a part of a country’s electrical grid under an uncertain demand in the corresponding network of the grid customers, and (f) forming a public–private partnership to develop a set of projects that a public administration needs to develop and implement, but does not have funds to finance on its own (partly or even completely) are discussed to illustrate how the games under consideration appear, and how they can be analyzed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hooley, G., et. al.: Marketing Strategy and Competitive Positioning, 4th edn. Prentice-Hall, New York (2008)
Williams, T.: Positioning for Professionals: How Professional Knowledge Firms Differentiate Their Way to Success. Wiley Professional Advisory Series. Wiley, New York (2010)
Sangupta, S.: Strategies for Competitive Advantage. Tata McGraw-Hill Publishing Company, New York (2005)
Gintis, H.: Game Theory Evolving: A Problem-Centered Introduction to Modeling Strategic Interaction, 2nd edn. Princeton University Press, New Jersey (2009)
Holt, A.: Markets, Games and Strategic Behavior. Addison Welsley, Reading, MA (2006)
Nesterov, Yu.: Introductory Lectures on Convex Optimization. Springer, New York (2003)
Lambert, E.: The Rise of the Speculator and the Origins of the World’s Biggest Markets. Basic Books, New York (2003)
Kline, D.: Fundamentals of the Futures Market. McGraw-Hill, New York (2000)
Belenky, A.: Operations Research in Transportation Systems: Ideas and Schemes of Optimization Methods for Strategic Planning and Operations Management. Springer, New York (2010)
Belenky, A.: A 2-person game on a polyhedral set of connected strategies. Comput. Math. Appl. 33(6), 99–125 (1997)
Belenky, A.: Analyzing the potential of a firm: an operations research approach. Math. Comput. Model. 35, 1405–1424 (2002)
Belenky, A.: A planning problem in a class of linear models. Autom. Remote Control 93(11), 1667–1673 (1978)
Bodlaender, H., Gritzmann, P., Klee, V., Leeuwen, J.: Computational complexity of norm-maximization. Combinatorica 10(2), 203–225 (1990)
Belenky, A., Yunusova, A.: Games with connected player strategies for analyzing the competitiveness of a railroad company in a cargo transportation marketplace. In: Proceeding of the 2013 International Conference on Information Science and Cloud Computing, Guangzhou, China, 7–8 December 2013, pp. 10–17 (2014)
Belenky, A.: An approach to desigining a mechanism for forming public-private partnerships, EURO/INFORMS, 26th European Conference on Operations Research, 1–4 July 2013, Rome, Abstract Book, p. 260 (2013)
Belenky, A.: Three quantitative management problems in public procurement and decision procedures for their analysis and solving. Proc. Comput. Sci. 17, 1142–1153 (2013)
Belenky, A.: Application of continuous optimization techniques for calculating equilibriums in large-scale three-person public procurement games. In: International Conference of Continuous Optimization ICCOPT-2103, 27 July–1 August 2013, Abstracts, p. 55 (2013)
Belenky, A.: Finding optimal production and selling strategies for an electricity generator in a part of a country’s electrical grid, Proc. Comput. Sci. 31, 1150–1159 (2014)
Belenky, A.: A game-theoretic approach to optimizing the scale of incorporating renewable sources of energy and electricity storing systems into a regional electrical grid, Journal of Global Optimization (submitted).
Belenky, A.: Finding an optimal strategy of incorporating renewable sources of energy and electricity storing facilities into a regional electrical grid, Journal of Global Optimization (submitted).
Koutsopoulos, I., Tassiulas, L.: Optimal control policies for power demand scheduling in the smart grid. IEEE J. Sel. Areas Commun. 30(6), 1049–1060 (2012)
Shor, N.: Quadratic optimization problems. Sov. J. Comput. Syst. Sci. (Formerly Eng. Cybern.) 6, 1–11 (1997)
Ralph, D.: Stochastic equilibrium in investment models: capacity expansion in the power sector. In: International Conference of Continuous Optimization ICCOPT-2103, 27 July–1 August 2013, Abstracts, p. 48 (2013)
Leadbetter, J., Swan, L.: Battery storage system for residential electricity peak demand shaving. Energy Build. 55, 685–692 (2012)
He, X., et al.: A novel business model for aggregating the values of electricity storage. Energy Policy 39(3), 1575–1585 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Belenky, A.S. (2014). Two Classes of Games on Polyhedral Sets in Systems Economic Studies. In: Kalyagin, V., Pardalos, P., Rassias, T. (eds) Network Models in Economics and Finance. Springer Optimization and Its Applications, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-09683-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-09683-4_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09682-7
Online ISBN: 978-3-319-09683-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)