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Convex Analysis

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Mathematical Economics

Part of the book series: Springer Texts in Business and Economics ((STBE))

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Abstract

Models in economic analysis often assume sets or functions are convex. These convexity properties make solutions of optimization problem analytically convenient.

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Notes

  1. 1.

    In the context of consumer theory y is replaced by a given utility level u and C is often called an expenditure function.

  2. 2.

    An exception is the Leontief production function, \(f(\mathbf {x})=\min \{x_{1}/a_{1}, \ldots , x_{n}/a_{n}\}\), where a 1, …, a n > 0. In this case \(\nabla ^{2}_{\mathbf {p}}C(\mathbf {p}, y)\) is a zero matrix. Note that f is not differentiable in this case.

References

  • Carter, M. (2001). Foundations of mathematical economics. Cambridge: The MIT Press.

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  • Rockafellar, R. T. (1970). Convex analysis. Princeton: Princeton University Press.

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  • Starr, R. M. (2008). Shapley-Folkman theorem. The new Palgrave dictionary of economics, Second Edition. Houndmills: Palgrave Macmillan.

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Yu, K. (2019). Convex Analysis. In: Mathematical Economics. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-27289-0_6

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