Samuelson on Linear Programming December 28, 2017 in economics, equilibria, linear programming, networks, Operations research, Uncategorized Volume 42 of the AER, published in 1952, contains an article by Paul Samuelson entitled `Spatial Price Equilibrium and Linear Programming’. In it, Samuelson uses a model of Enke (1951) as a vehicle to introduce the usefulness of linear programming techniques to Economists. The second paragraph of the paper is as follows: In recent years economists have begun to hear about a new type of theory called linear programming. Developed by such mathematicians as G. B. Dantzig, J. v. Neumann, A. W. Tucker, and G. W. Brown, and by such economists as R. Dorfman, T. C. Koopmans, W. Leontief, and others, this field admirably illustrates the failure
Topics:
rvohra considers the following as important: Economics, equilibria, linear programming, networks, Operations research, Uncategorized
This could be interesting, too:
Scott Sumner writes Nafta 2.0: What’s the point?
Tyler Cowen writes Sweden recovers in the PISA tables
Tyler Cowen writes Wednesday assorted links
Alex Tabarrok writes A Symposium for John Perry Barlow
Volume 42 of the AER, published in 1952, contains an article by Paul Samuelson entitled `Spatial Price Equilibrium and Linear Programming’. In it, Samuelson uses a model of Enke (1951) as a vehicle to introduce the usefulness of linear programming techniques to Economists. The second paragraph of the paper is as follows:
In recent years economists have begun to hear about a new type of theory called linear programming. Developed by such mathematicians as G. B. Dantzig, J. v. Neumann, A. W. Tucker, and G. W. Brown, and by such economists as R. Dorfman, T. C. Koopmans, W. Leontief, and others, this field admirably illustrates the failure of marginal equalization as a rule for defining equilibrium. A number of books and articles on this subject are beginning to appear. It is the modest purpose of the following discussion to present a classical economics problem which illustrates many of the characteristics of linear programming. However, the problem is of economic interest for its own sake and because of its ancient heritage.
Of interest are the 5 reasons that Samuelson gives for why readers of the AER should care.

This viewpoint might aid in the choice of convergent numerical iterations to a solution.

From the extensive theory of maxima, it enables us immediately to evaluate the sign of various comparativestatics changes. (E.g., an increase in net supply at any point can never in a stable system decrease the region’s exports.)

By establishing an equivalence between the Enke problem and a maximum problem, we may be able to use the known electric devices for solving the former to solve still other maximum problems, and perhaps some of the linear programming type.

The maximum problem under consideration is of interest because of its unusual type: it involves in an essential way such nonanalytic functions as absolute value of X, which has a discontinuous derivative and a corner; this makes it different from the conventionally studied types and somewhat similar to the inequality problems met with in linear programming.

Finally, there is general methodological and mathematical interest in the question of the conditions under which a given equilibrium problem can be significantly related to a maximum or minimum problem.