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Convex Processes and Hamiltonian Dynamical Systems

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Convex Analysis and Mathematical Economics

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 168))

Abstract

Many economists have studied optimal growth models of the form

$$\matrix{{\max imize} \hfill & {f_0^\infty e^{ - \rho } U(k(t),\,\,z(t))dt} \hfill \cr {subject\,\,to} \hfill & {k(0) = k_0, \dot k(t) = z(t) - \gamma k(t),} \hfill \cr }$$
(1)

where K is a vector of capital goods, γ is the rate of depreciation, ρ is the discount rate, and U is a continuous concave utility function defined on a closed convex set D in which the pair (k,z) is constrained to lie. The theory of such problems is plagued by technical difficulties caused by the infinite time interval.\The optimality conditions are still not well understood, and there are serious questions about the existence of solutions and even the meaningfulness, in certain cases, of the expression being maximized.

Research sponsored in part by the Air Force Office of Scientific Research, Air Force Systems Command, USAF, under AFOSR grant number 77-0546 at the University of Washington, Seattle.

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References

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© 1979 Springer-Verlag Berlin Heidelberg

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Rockafellar, R.T. (1979). Convex Processes and Hamiltonian Dynamical Systems. In: Kriens, J. (eds) Convex Analysis and Mathematical Economics. Lecture Notes in Economics and Mathematical Systems, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95342-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-95342-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-09247-6

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