Skip to main content

The functional equations of undiscounted denumerable state Markov renewal programming

  • Chapter
Semi-Markov Models

Abstract

In this paper we want to establish conditions for the existence of a finite solution of the functional equations

$$ g\left( i \right) = \mathop {\max }\limits_{a \in a\left( 1 \right)} \mathop {\;\Sigma }\limits_{j \in I} \;p\left( {i,a,j} \right)g\left( j \right),\;i \in I,\;$$
(1)
$$ v\left( i \right) = \mathop {\max }\limits_{a \in {A_o}\left( i \right)} \;\left[ {r\left( {i,a} \right) - t\left( {i,a} \right)g\left( i \right) + \mathop \Sigma \limits_{j \in I} p\left( {i,a,j} \right)v\left( j \right)} \right],i \in I$$
(2)

where I is a denumerable set, A(i) is a compact metric space for all i ϵ I, 0 < t(i,a) < ∞, − ∞ < r (i,a) < ∞, p (i,a,j) ⩾ 0 for all i, j ϵ I, a ϵ A(i) and \( \sum\limits_{j \in I} {p\left( {i,a,j} \right){\text{ }} = {\text{ }}1} \) for all i ϵ I, a ϵ A(i).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Birkhoff, G. (1948). Lattice theory. American Math. Society Colloquium, Volume 25.

    Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  • Chung, K.L. (1967). Markov chains with stationary transition probabilities. Springer, Berlin.

    MATH  Google Scholar 

  • Çinlar, E. (1974). Periodicity in Markov renewal theory. Advances in Appl. Probability 6, 61–78.

    Article  MathSciNet  MATH  Google Scholar 

  • Deppe, H. (1985). Continuity of mean recurrence times in denumerable semi Markov processes. Z. Wahrscheinlichkeitstheorie verw. Gebiete 69.

    Google Scholar 

  • Deppe, H. (1981). Semiregenerative processes with costs. Preprint 475, SFB 72, University of Bonn.

    Google Scholar 

  • Federgruen, A., A. Hordijk and H.C. Tijms (1979). Denumerable state semi Markov decision processes with unbounded costs, average reward criterion. Stoc.Proc.Appl. 9, 223–225.

    Article  MathSciNet  MATH  Google Scholar 

  • Federgruen, A., P.J. Schweitzer and H.C. Tijms (1983). Denumerable undiscounted semi-Markov decision processes with unbounded rewards. Math.of Oper. Res. 8, 298–313.

    Article  MathSciNet  MATH  Google Scholar 

  • Hordijk, A. (1974). Dynamic programming and Markov potential theory. Math. Centre Tract 51, Mathematisch Centrum, Amsterdam.

    Google Scholar 

  • Hordijk, A. and R. Dekker (1983). Average, sensitive and Blackwell optimal policies in denumerable Markov decision chains with unbounded rewards. Report 83-36, Institute of Appl. Math, and Comp. Science, University of Leiden.

    Google Scholar 

  • Hordijk, A. and K. Sladky (1977). Sensitive optimality criteria in countable state dynamic programming. Math.of Oper. Res. 2, 1–14.

    Article  MathSciNet  MATH  Google Scholar 

  • Kolonko, M. (1980a). Dynamische Optimierung unter Unsicherheit in einem Semi-Markoff Modell mit abzählbarem Zustandsraum. Dissertation, Institut für Angewandte Mathematik, Universität Bonn.

    Google Scholar 

  • Kolonko, M. (1980b). A countable Markov chain with reward structurecontinuity of the average reward. Preprint 415, SFB 72, University of Bonn.

    Google Scholar 

  • Mann, E. (1983a). Optimality equations and bias-optimality in bounded Markov decision processes. Preprint 574, SFB 72, University of Bonn. To appear in Optimization 16.

    Google Scholar 

  • Mann, E. (1983b). Optimalitätsgleichungen und optimale Politiken für sensitive Kriterien. Operations Research Proceedings 1983, Springer Berlin Heidelberg.

    Google Scholar 

  • Schweitzer, P.J. (1968). Perturbation theory and finite Markov chains. J. Appl. Prob. 5, 401–413.

    Article  MathSciNet  MATH  Google Scholar 

  • Schweitzer, P.J. (1982). Solving MDP functional equations by lexicographic optimization. RAIRO 16, 91–98.

    MathSciNet  MATH  Google Scholar 

  • Veinott, A.F. (1966). On finding optimal policies in discrete dynamic programming. Ann. Math. Stat. 37, 1284–1294.

    Article  MathSciNet  MATH  Google Scholar 

  • Wijngaard, J. (1975). Stationary Markov decision problems, discrete time, general state space. Proefschrift, Technische Hogeschool Eindhoven.

    Google Scholar 

  • Zijm, H. (1984). The optimality equations in multichain denumerable state Markov decision processes with the average cost criterion: the unbounded cost case. CQM-Note 022, Centre of Quantitative Methods, Eindhoven.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1986 Springer Science+Business Media New York

About this chapter

Cite this chapter

Mann, E. (1986). The functional equations of undiscounted denumerable state Markov renewal programming. In: Janssen, J. (eds) Semi-Markov Models. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0574-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-0574-1_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-0576-5

  • Online ISBN: 978-1-4899-0574-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics