Abstract
In a scene in The Godfather, the late Marlon Brando, playing Don Vito Corleone, tells his son, “Well, this wasn’t enough time, Michael. It wasn’t enough time.” There is never enough time, nor is there ever enough money. In personal life, in the affairs of a company or university, and in the government budget, there are never enough resources, be it time, money, or energy. Economics has always been concerned with optimal allocation of scarce resources to competing and unbounded wants. We can imagine that if resources were infinite or wants were limited, there would be no economic problems. Thus, in deciding the family consumption, the hiring for a university, the number and types of courses to offer in a discipline, the amount of R&D expenditures in the company, the allocation of the federal budget among national defense, education, and welfare programs, we face the same problem of allocating scarce resources to achieve the best result possible. But if the behavior of economic decision makers is determined by choosing the best allocation subject to budget constraints, then the starting point of economic theory of households and firms ought to be constrained optimization.
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Notes
- 1.
This assumption is made so that we rule out the possibility of a corner solution.
- 2.
Evgeny Evgenievich Slutsky (1880–1948), Russian mathematician, economist, and statistician, published this result in a highly mathematical article “Sulla teoria del bilancio del consumatore,” in Giornali degli Economisti in 1915. Because of the war, it received little attention. In the 1930s, economists R. G. D. Allen, John Hicks, and Henry Schultz, working on consumer theory, rediscovered it.
- 3.
In this problem parameters play the same role as exogenous variables in Chap. 9 and variables of interest or decision variables play the role of endogenous variables.
- 4.
It is called linear programming because both the objective function and constraints are linear. Russian mathematician Leonid Vitalyevich Kantorovich (1912–1986) was the first to formulate the linear programming problem in response to a request by a Soviet enterprise wanting to optimize the use of its resources. He solved the problem using Lagrange multipliers. His work received scant attention at the time, but he later received the Nobel Prize in economics for his contribution to this subject. The simplex method for solving linear programming problem was discovered by the American mathematician and statistician George Dantzig (1914–2005). In 1984, Narendra Karmarkar discovered a different method for solving such problems.
- 5.
An affine equation is linear but it is not homogeneous; that is, it has a constant term or intercept.
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© 2011 Springer-Verlag Berlin Heidelberg
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Dadkhah, K. (2011). Constrained Optimization. In: Foundations of Mathematical and Computational Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13748-8_13
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DOI: https://doi.org/10.1007/978-3-642-13748-8_13
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