DNSS Point
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Sethi-Skiba points, also known as DNSS points, arise in
optimal control Optimal control theory is a branch of mathematical optimization that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in science, engineering and ...
problems that exhibit multiple optimal solutions. A Sethi-Skiba point is an indifference point in an optimal control problem such that starting from such a point, the problem has more than one different optimal solutions. A good discussion of such points can be found in Grass et al.


Definition

Of particular interest here are discounted infinite horizon
optimal control Optimal control theory is a branch of mathematical optimization that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in science, engineering and ...
problems that are autonomous. These problems can be formulated as : \max_\int_0^ e^ \varphi\left(x(t), u(t)\right)dt s.t. : \dot(t) = f\left(x(t), u(t)\right), x(0) = x_, where \rho > 0 is the discount rate, x(t) and u(t) are the state and control variables, respectively, at time t, functions \varphi and f are assumed to be continuously differentiable with respect to their arguments and they do not depend explicitly on time t, and \Omega is the set of feasible controls and it also is explicitly independent of time t. Furthermore, it is assumed that the integral converges for any admissible solution \left(x(.), u(.)\right). In such a problem with one-dimensional state variable x, the initial state x_ is called a ''Sethi-Skiba point'' if the system starting from it exhibits multiple optimal solutions or equilibria. Thus, at least in the neighborhood of x_0, the system moves to one equilibrium for x > x_0 and to another for x < x_0. In this sense, x_0 is an indifference point from which the system could move to either of the two equilibria. For two-dimensional
optimal control Optimal control theory is a branch of mathematical optimization that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in science, engineering and ...
problems, Grass et al. and Zeiler et al. present examples that exhibit DNSS curves. Some references on the applications of Sethi-Skiba points are Caulkins et al., Zeiler et al.I. Zeiler, J. P. Caulkins, and G. Tragler. When Two Become One: Optimal Control of Interacting Drug. ''Working paper, ''Vienna University of Technology, Vienna, Austria, and Carboni and Russu


History

Suresh P. Sethi identified such indifference points for the first time in 1977. Further, Skiba, Sethi,Sethi, S.P., "Optimal Quarantine Programmes for Controlling an Epidemic Spread," ''Journal of Operational Research Society'', 29(3), 1978, 265-268
JSTOR 3009454SSRN 3587573
/ref> and Deckert and Nishimura explored these indifference points in economic models. The term DNSS (Deckert, Nishimura, Sethi, Skiba) points, introduced by Grass et al., recognizes (alphabetically) the contributions of these authors. These indifference points have been also referred to as ''Skiba points'' or ''DNS points'' in earlier literature.


Example

A simple problem exhibiting this behavior is given by \varphi\left(x,u\right) =xu, f\left(x,u\right) = -x + u, and \Omega = \left 1, 1\right/math>. It is shown in Grass et al. that x_ = 0 is a Sethi-Skiba point for this problem because the optimal path x(t) can be either \left(1-e^\right) or \left(-1+e^\right). Note that for x_ < 0, the optimal path is x(t) = -1 + e^ and for x_ > 0, the optimal path is x(t) = 1 + e^{-t\left(x_{0}-1 \right)}.


Extensions

For further details and extensions, the reader is referred to Grass et al.


References

Optimal control Mathematical economics