Skip to main content

An Improvement of J. F. Shapiro’s Turnpike Theorem for the Horizon of Finite Stage Discrete Dynamic Programs

  • Chapter

Abstract

The potential usefulness of the well-known turnpike theorem in [12] is for practical purposes rather limited, since numerical evaluation of the estimate given in [12] for the turnpike horizon N* gives poor results, unless the discount factor β is rather small. We contribute to the problem in the following directions:

  1. (i)

    Considerably improved estimates for N* are derived, including cases where β ≧ 1.

  2. (ii)

    For dynamic programs with absorbing sets further improvement is derived.

  3. (iii)

    Some numerical examples are given, including a rather detailed analysis of Howard’s toymaker example for arbitrary values of β.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J. Bather: Optimal decision procedures for finite Markov chains. Part I: Examples. Adv. Appl. Pr. 5 (1973), 328–339.

    Article  MathSciNet  MATH  Google Scholar 

  2. M. J. Beckmann: Dynamic programming of economic decisions. Springer, Berlin 1968.

    MATH  Google Scholar 

  3. D. Blackwell: Discrete dynamic programming. Ann. Math. Stat. 33 (1962), 719–726.

    Article  MathSciNet  MATH  Google Scholar 

  4. B. W. Brown: On the iterative method of dynamic programming on a finite space discrete time Markov process. Ann. Math. Stat. 36 (1965), 1279–1285.

    Article  MATH  Google Scholar 

  5. C. Derman: Finite state Markovian decision processes. Academic Press, New York 1970.

    MATH  Google Scholar 

  6. K. Hinderer: On the application of dynamic programming to economic lot size problems. Oper. Res. Verfahren X (1971), 57–75.

    Google Scholar 

  7. K. Hinderer: Neuere Resultate in der Stochastischen Dynamischen Optimierung. Z. Angew. Math. Mech. 55 (1975), T16–T26.

    MathSciNet  MATH  Google Scholar 

  8. R. Howard: Dynamic programming and Markov processes. Technology Press/Wiley, New York 1960.

    MATH  Google Scholar 

  9. G. Hübner: Improved procedures for eliminating suboptimal actions in Markov programming by the use of contraction properties. This volume 257–263.

    Google Scholar 

  10. J. MacQueen: A test for suboptimal actions in Markovian decision problems. Oper. Res. 15 (1967), 559–561.

    Article  MATH  Google Scholar 

  11. H. Mine, S. Osaki: Markovian decision processes. Elsevier, New York 1970.

    MATH  Google Scholar 

  12. J. F. Shapiro: Turnpike planning horizons for a Markovian decision model. Management Sci. 14 (1968), 292–300.

    Article  MATH  Google Scholar 

  13. A. F. Veinott: Discrete dynamic programming with sensitive discount optimality criteria. Ann. Math. Stat. 40 (1969), 1635–1660.

    Article  MathSciNet  MATH  Google Scholar 

  14. D. J. White: Dynamic programming. Oliver and Boyd, Edinburgh 1969.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

J. Kožešnik

Rights and permissions

Reprints and permissions

Copyright information

© 1977 ACADEMIA, Publishing House of the Czechoslovak Academy of Sciences, Prague

About this chapter

Cite this chapter

Hinderer, K., Hübner, G. (1977). An Improvement of J. F. Shapiro’s Turnpike Theorem for the Horizon of Finite Stage Discrete Dynamic Programs. In: Kožešnik, J. (eds) Transactions of the Seventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes and of the 1974 European Meeting of Statisticians. Transactions of the Seventh Prague Conference on Information Theory, Statistical Decision Functions, Random Processes and of the 1974 European Meeting of Statisticians, vol 7A. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-9910-3_26

Download citation

  • DOI: https://doi.org/10.1007/978-94-010-9910-3_26

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-9912-7

  • Online ISBN: 978-94-010-9910-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics