Mathematical Appendix
Alfonso Novales,
Esther Fernández and
Jesus Ruiz
Chapter Chapter 10 in Economic Growth, 2014, pp 525-548 from Springer
Abstract:
Abstract Let us consider the dynamic optimization problem, $$\displaystyle{\mathop{\mathit{Max}}\limits_{v_{t}}\text{ }\int _{0}^{T}f(x_{ t},v_{t},t)\mathit{dt}}$$ subject to the constraint, $$\displaystyle\begin{array}{rcl} \dot{x}_{t}& =& h(x_{t},v_{t},t) {}\\ & & \mathrm{and\ given}\ \ x_{0} {}\\ \end{array}$$ where v t is known as the control variable, x t being the state variable. The constraint is in the form of a differential equation describing the time evolution of the state variable, as a function of the decision taken at each point in time, i.e., of the value of the control variable. Control and state could be vector variables, in which case we would have several restrictions like the one above, one for each state variable.
Keywords: Optimal Control Problem; Spectral Decomposition; Order Differential Equation; Transversality Condition; Shadow Prex (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-642-54950-2_10
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DOI: 10.1007/978-3-642-54950-2_10
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