Skip to main content

Some Recent Applications of Functional Equations and Inequalities to Characterizations of Probability Distributions, Combinatorics, Information Theory and Mathematical Economics

  • Conference paper
A Modern Course on Statistical Distributions in Scientific Work

Part of the book series: NATO Advanced Study Institutes Series ((ASIC,volume 17))

Summary

This is a survey of some recent results found by my co-workers and myself. Our range of topics starts with characterizations of ordinary (bivariate) and generalized Poisson distributions but it leads us to combinatorics, geometry, theory of information (with and without probability) and even mathematical economics. Our methods consist in solving functional equations and inequalities.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

  1. Aczél, J. (1966). Lectures on Functional Equations and Their Applications. Academic Press, New York and London, pp. 31–39, 111–116, and 213–217.

    Google Scholar 

  2. Aczél, J. (1969). On Different Characterizations of Entropies. In Probability and Information Theory, Proceedings of the International Symposium at McMaster University, Canada, April 1968. Springer-Verlag, Berlin, Heidelberg, and New York, pp. 1–11.

    Google Scholar 

  3. Aczél, J. (1972). J. Appl. Probability 9, 852–856.

    Article  MathSciNet  MATH  Google Scholar 

  4. Aczél, J. (1974a). On Shannon–s Inequality, Optimal Coding, and Characterizations of ShannonTs and Renyi’s Entropies. In Convegno d1Informazione Teoretica, Istituto Nazionale di Alta Matematica, Roma 1973. Symposia Mathematica Vol. XI, Academic Press, New York.

    Google Scholar 

  5. Aczél, J. (1974b). Z. Wahrscheinlichkeitstheorie und Verw. Gebiete. 29, 351–360.

    Article  Google Scholar 

  6. Aczél, J. (1974c). “Keeping the Expert Honest” Revisited - or: A Method to Prove the Differentiability of Solutions of Functional Inequalities. Selecta Statistica Canadiana.

    Google Scholar 

  7. Aczél, J. and Eichhorn, W. (1974). Utilitas Math. 5, 213–226.

    MathSciNet  MATH  Google Scholar 

  8. Aczél, J., Forte, B. and Ng, C. T. (1974a). Aequationes Math. 11, 11–30.

    Article  MathSciNet  MATH  Google Scholar 

  9. Aczél, J., Forte, B. and Ng, C. T. (1974b). Advances in Appl. Probability 9, 852–856.

    Article  Google Scholar 

  10. Aczél, J. and Ostrowski, A. M. (1974). J. Austral. Math. Soc. 16, 368–374.

    Article  Google Scholar 

  11. Aczél, J. and Nath, P. (1972). Z. Wahrscheinlichkeitstheorie und Verw. Gebiete. 21, 215–224.

    Article  Google Scholar 

  12. Aczél, J. and Vranceanu, G. (1972). Colloq. Math. 26, 371–383.

    MathSciNet  MATH  Google Scholar 

  13. Campbell, L. L. (1965). Information and Control 8, 423–429.

    Article  MathSciNet  MATH  Google Scholar 

  14. Campbell, L. L. (1966). Z. Wahrscheinlichkeitstheorie und Verw. Gebiete. 6, 113–118.

    Article  MATH  Google Scholar 

  15. Daroczy, Z. and Losonczi, L. (1967). Publ. Math. Debrecen 14, 239–245.

    MathSciNet  MATH  Google Scholar 

  16. Feinstein, A. (1958). Foundations of Information Theory. McGraw-Hill, New York, Toronto, and London, pp. 13, 17–19, and 21–23.

    Google Scholar 

  17. Fischer, P. (1972). Metrika 18, 200–208.

    Article  Google Scholar 

  18. Fischer, P. (1974). On the inequality Z p± £(qj I1’ Canad. Math. Bull.

    Google Scholar 

  19. Fisher, I. (1967). The Making of Index Numbers. Kelley, New York.

    Google Scholar 

  20. Forte, B. (1974). Why Shannon’s Entropy. In Convegno dTInformazione Teoretica, Istituto Nazionale di Alta Matematica, Roma 1973. Symposia Mathematica Vol. XI, Academic Press, NewYork.

    Google Scholar 

  21. Hardy, G. H., Littlewood, J. E. and Pólya, G. (1952). Inequalities. University Press, Cambridge, pp. 16–25 and 30–31.

    Google Scholar 

  22. Hartley, R. V. (1928). Bell System Tech. J. 7, 535–563.

    Google Scholar 

  23. Jánossy, L., Rényi, A. and Aczél, J. (1950). Acta Math. Acad. Sci. Hungar. 1, 209–224.

    Article  MathSciNet  MATH  Google Scholar 

  24. Kannappan, P. (1974). Aequationes Math. 11, 51–56.

    Article  MathSciNet  MATH  Google Scholar 

  25. Kannappan, P. and Ng, C. T. (1973). Proc. Amer. Math. Soc. 38, 303–310.

    Article  MathSciNet  MATH  Google Scholar 

  26. Nath, P. (1968). J. Math. Sci. 3, 1–16.

    Article  MathSciNet  Google Scholar 

  27. Rao, C. R. and Rubin, H. (1964). Sankhyā: Ser A 26, 295–298.

    MathSciNet  Google Scholar 

  28. Redheffer, R. M. (1953). Math. Mag. 26, 183–188.

    Article  MathSciNet  Google Scholar 

  29. Rényi, A. (1970). Probability Theory. North Holland, Amsterdam and American Elsevier, New York, pp. 569, 574.

    Google Scholar 

  30. Rota, G. -C. and Mullin, R. (1970). On the Foundations of Combinatorial Theory, in: Graph Theory and Its Applications. Academic Press, New York, pp. 167–213.

    Google Scholar 

  31. Shanbhag, D. N. (1973). J. Appl. Probability 11, 211–215.

    Article  MathSciNet  Google Scholar 

  32. Shannon, C. F. and Weaver, W. (1949). The Mathematical Theory of Communication. University of Illinois Press, Chicago, p. 19.

    MATH  Google Scholar 

  33. Srivastava, R. C. and Srivastava, A. B. L. (1970). J. Appl. Probability 7, 497–501.

    Article  MathSciNet  MATH  Google Scholar 

  34. Talwalker, S. (1970). Sankhyā Ser A 32, 265–270.

    MathSciNet  MATH  Google Scholar 

  35. Van der Vaart, H. R. (1972). Sankhyā Ser A 34, 191–193.

    MATH  Google Scholar 

  36. Vranceanu, G. G. (1969). Interprétation géométrique des processus probabilistiques continus. Gauthier-Villars, Paris.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1975 D. Reidel Publishing Company, Dordrecht-Holland

About this paper

Cite this paper

Aczél, J. (1975). Some Recent Applications of Functional Equations and Inequalities to Characterizations of Probability Distributions, Combinatorics, Information Theory and Mathematical Economics. In: Patil, G.P., Kotz, S., Ord, J.K. (eds) A Modern Course on Statistical Distributions in Scientific Work. NATO Advanced Study Institutes Series, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-1848-7_30

Download citation

  • DOI: https://doi.org/10.1007/978-94-010-1848-7_30

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-1850-0

  • Online ISBN: 978-94-010-1848-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics