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A Method for Computing Double Band Policies for Switching between Two Diffusions

Published online by Cambridge University Press:  27 July 2009

Florin Avram
Affiliation:
Department of Mathematics, Northeastern University, Boston, Massachusetts 02115
Fikri Karaesmen
Affiliation:
Department of Mechanical, Industrial and Manufacturing Engineering, Northeastern University, Boston, Massachusetts 02115

Extract

We develop a method for computing the optimal double band [b, B] policy for switching between two diffusions with continuous rewards and switching costs. The two switch levels [b, B] are obtained as perturbations of the single optimal switching point a of the control problem with no switching costs. More precisely, we find that in the case of average reward problems the optimal switch levels can be obtained by intersecting two curves: (a) the function, γ(a), which represents the long-run average reward if we were to switch between the two diffusions at a and switches were free, and (b) a horizontal line whose height depends on the size of the transaction costs. Our semianalytical approach reduces, for example, the solution of a problem recently posed by Perry and Bar-Lev (1989, in Stochastic Analysis and Applications 7: 103–115) to the solution of one nonlinear equation.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1996

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References

1.Bather, J. (1966). A continuous time inventory model. Journal of Applied Probability 3: 538549.CrossRefGoogle Scholar
2.Bather, J. (1968). A diffusion model for the control of a dam. Journal of Applied Probability 5: 5571.CrossRefGoogle Scholar
3.Benes, V.E., Shepp, L.A., & Witsenhausen, H.S. (1980). Some solvable stochastic control problems. Slochastics 4: 3983.CrossRefGoogle Scholar
4.Chernoff, H. & Petkau, A. (1978). Optimal control of Brownian motion. SIAM Journal on Applied Mathematics 34: 717731.CrossRefGoogle Scholar
5.Chung, K.J. & Williams, R.J. (1990). Introduction to stochastic integration. Boston: Birkhäuser.CrossRefGoogle Scholar
6.Davis, M.H.A. & Norman, A.R. (1990). Portfolio selection with transaction costs. Mathematics of Operations Research 19: 676713.CrossRefGoogle Scholar
7.Foschini, G.J. (1977). On heavy traffic diffusion analysis and dynamic routing in packet switched networks. In Chandy, M.K. & Reiser, M. (eds.), Computer performance. Amsterdam: North-Holland, pp. 419514.Google Scholar
8.Harrison, J.M. (1978). The diffusion approximation for tandem queues in heavy traffic. Advances in Applied Probability 10: 886905.CrossRefGoogle Scholar
9.Harrison, J.M. (1985). Brownian motion and stochastic flow systems. New York: John Wiley.Google Scholar
10.Harrison, J.M. & Reiman, M.I. (1981). Reflected Brownian motion in an orthant. Annals of Probability 9: 302308.CrossRefGoogle Scholar
11.Harrison, J.M., Sellke, T.M., & Taylor, A.J. (1983). Impulse control of Brownian motion. Mathematics of Operations Research 8: 454466.CrossRefGoogle Scholar
12.Harrison, J.M. & Taksar, M.I. (1983). Instantaneous control of Brownian motion. Mathematics of Operations Research 8: 439453.CrossRefGoogle Scholar
13.Harrison, J.M. & Taylor, A.J. (1978). Optimal control of a Brownian storage system. Stochastic Processes with Applications 6: 179194.CrossRefGoogle Scholar
14.Hopkins, W.E. & Blankenship, G.L. (1981). Perturbation analysis of a system of quasivariational inequalities for optimal stochastic scheduling. IEEE Transactions on Automatic Control AC-26: 10541070.CrossRefGoogle Scholar
15.Karlin, S. & Taylor, H. (1981). A second course in stochastic processes. San Diego: Academic Press.Google Scholar
16.Krichagina, E.V., Lou, S.X.C., Sethi, S.P., & Taksar, M.I. (1993). Production control in a failure-prone manufacturing system. Annals of Applied Probability 3: 421453.CrossRefGoogle Scholar
17.Krichagina, E.V., Lou, S.X.C., & Taksar, M.I. (1994). Double band policy for stochastic manufacturing systems in heavy traffic. Mathematics of Operations Research 19: 560596.CrossRefGoogle Scholar
18.Mandelbaum, A. (1987). Continuous multiarmed bandits. Annals of Probability 15: 15271556.CrossRefGoogle Scholar
19.Newell, G.F. (1979). Approximate behavior of tandem queues: Lecture Notes in Economics and Mathematical Systems, 171. New York: Springer-Verlag.CrossRefGoogle Scholar
20.Perry, D. & Bar-Lev, S.K. (1989). A control of a Brownian motion storage system with two switchover drifts. Stochastic Analysis and Applications 7: 103115.CrossRefGoogle Scholar
21.Rath, J. (1975). Controlled queues in heavy traffic. Advances in Applied Probability 7: 656671.CrossRefGoogle Scholar
22.Rath, J. (1977). The optimal policy for a controlled Brownian motion process. SIAM Journal on Applied Mathematics 32: 115125.CrossRefGoogle Scholar
23.Reiman, M.I. (1984). Open queueing networks in heavy traffic. Mathematics of Operations Research 9: 451458.CrossRefGoogle Scholar
24.Samuelson, P.A. & McKean, H.P. Jr, (1965). Rational theory of warrant pricing. Industrial Management Review 6: 1339.Google Scholar
25.Shepp, L. & Shiryaev, A.N. (1993). The Russian option: Reduced regret. Advances in Applied Probability 3: 631640.Google Scholar
26.Shreve, S.E., Soner, H.M., & Xu, G.L. (1991). Optimal investment and consumption with transaction costs. Mathematical Finance 1: 5384.CrossRefGoogle Scholar
27.Taksar, M. (1985). Average optimal singular control and a related stopping problem. Mathematics of Operations Research 10: 6381.CrossRefGoogle Scholar
28.Taksar, M., Klass, M.J., & Assaf, D. (1988). A diffusion model for optimal portfolio selection in the presence of brokerage fees. Mathematics of Operations Research 13: 277294.CrossRefGoogle Scholar
29.Varadhan, S. & Williams, R.J. (1985). Brownian motion in a wedge with oblique reflection. Communications on Pure and Applied Mathematics 38: 405443.CrossRefGoogle Scholar