Shapley–Folkman Theorem (original) (raw)
Abstract
The Shapley–Folkman theorem places an upper bound on the size of the non-convexities (loosely speaking, openings or holes) in a sum of non-convex sets in Euclidean _N_-dimensional space, R N. The bound is based on the size of nonconvexities in the sets summed and the dimension of the space. When the number of sets in the sum is large, the bound is independent of the number of sets summed, depending rather on N, the dimension of the space. Hence the size of the non-convexity in the sum becomes small as a proportion of the number of sets summed; the non-convexity per summand goes to zero as the number of summands becomes large. The Shapley–Folkman theorem can be viewed as a discrete counterpart to the Lyapunov theorem on non-atomic measures (Grodal [2002](#ref-CR11 "Grodal, B. 2002. The equivalence principle. In Optimization and Operation Research, Encyclopedia of Life Support Systems (EOLSS), ed. U. Derigs. Cologne. Online. Available at http://www.econ.ku.dk/grodal/EOLSS-final.pdf
. Accessed 5 Apr 2007.")).
This chapter was originally published in The New Palgrave Dictionary of Economics, 2nd edition, 2008. Edited by Steven N. Durlauf and Lawrence E. Blume
Similar content being viewed by others
Bibliography
- Anderson, R.M. 1978. An elementary core equivalence theorem. Econometrica 46: 1483–1487.
Article Google Scholar - Anderson, R.M. 1988. The second welfare theorem with nonconvex preferences. Econometrica 56: 361–382.
Article Google Scholar - Arrow, K.J., and F.H. Hahn. 1972. General competitive analysis. San Francisco: Holden-Day.
Google Scholar - Artstein, Z., and R.A. Vitale. 1975. A strong law of large numbers for random compact sets. Annals of Probability 3: 879–882.
Article Google Scholar - Artstein, Z. 1980. Discrete and continuous bang-bang and facial spaces or: Look for the extreme points. SIAM Review 22: 172–185.
Article Google Scholar - Aubin, J.-P., and I. Ekeland. 1976. Estimation of the duality gap in nonconvex optimization. Mathematics of Operations Research 1 (3): 225–245.
Article Google Scholar - Cassels, J.W.S. 1975. Measure of the non-convexity of sets and the Shapley–Folkman–Starr theorem. Mathematical Proceedings of the Cambridge Philosophical Society 78: 433–436.
Article Google Scholar - Chambers, C.P. 2005. Multi-utilitarianism in two-agent quasilinear social choice. International Journal of Game Theory 33: 315–334.
Article Google Scholar - Ekeland, I., and R. Temam. 1976. Convex analysis and variational problems. Amsterdam: North-Holland.
Google Scholar - Green, J., and W.P. Heller. 1981. Mathematical analysis and convexity with applications to economics. In Handbook of mathematical economics, ed. K.J. Arrow and M. Intriligator, vol. 1. Amsterdam: North-Holland.
Google Scholar - Grodal, B. 2002. The equivalence principle. In Optimization and Operation Research, Encyclopedia of Life Support Systems (EOLSS), ed. U. Derigs. Cologne. Online. Available at http://www.econ.ku.dk/grodal/EOLSS-final.pdf. Accessed 5 Apr 2007.
- Hildenbrand, W., D. Schmeidler, and S. Zamir. 1973. Existence of approximate equilibria and cores. Econometrica 41: 1159–1166.
Article Google Scholar - Howe, R. 1979. On the tendency toward convexity of the vector sum of sets. Discussion Paper No. 538, Cowles Foundation, Yale University.
Google Scholar - Manelli, A.M. 1991. Monotonie preferences and core equivalence. Econometrica 59: 123–138.
Article Google Scholar - Mas-Colell, A. 1978. A note on the core equivalence theorem: How many blocking coalitions are there? Journal of Mathematical Economics 5: 207–216.
Article Google Scholar - Proske, F.N., and M.L. Puri. 2002. Central limit theorem for Banach space valued fuzzy random variables. Proceedings of the American Mathematical Society 130: 1493–1501.
Article Google Scholar - Starr, R.M. 1969. Quasi-equilibria in markets with non-convex preferences. Econometrica 37: 25–38.
Article Google Scholar - Starr, R.M. 1981. Approximation of points of the convex hull of a sum of sets by points of the sum: An elementary approach. Journal of Economic Theory 25: 314–317.
Article Google Scholar - Tardella, F. 1990. A new proof of the Lyapunov Convexity Theorem. Applied Mathematics 28: 478–481.
Google Scholar - Weil, W. 1982. An application of the central limit theorem for Banach space valued random variables to the theory of random sets. Probability Theory and Related Fields 60: 203–208.
Google Scholar - Zhou, L. 1993. A simple proof of the Shapley–Folkman theorem. Economic Theory 3: 371–372.
Article Google Scholar
Author information
Authors and Affiliations
Authors
- Ross M. Starr
You can also search for this author inPubMed Google Scholar
Editor information
Editors and Affiliations
Copyright information
© 2008 The Author(s)
About this entry
Cite this entry
Starr, R.M. (2008). Shapley–Folkman Theorem. In: The New Palgrave Dictionary of Economics. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95121-5\_1904-2
Download citation
- .RIS
- .ENW
- .BIB
- DOI: https://doi.org/10.1057/978-1-349-95121-5\_1904-2
- Received: 13 January 2017
- Accepted: 13 January 2017
- Published: 22 March 2017
- Publisher Name: Palgrave Macmillan, London
- Online ISBN: 978-1-349-95121-5
- eBook Packages: Springer Reference Economics and FinanceReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences
Publish with us
Chapter history
Latest
Shapley–Folkman Theorem
Published:
22 March 2017
DOI: https://doi.org/10.1057/978-1-349-95121-5\_1904-2
2. #### Original
Shapley–Folkman Theorem
Published:
31 October 2016
DOI: https://doi.org/10.1057/978-1-349-95121-5\_1904-1