Skip to main content

On Multivariate Quasi-infinitely Divisible Distributions

  • Chapter
  • First Online:
A Lifetime of Excursions Through Random Walks and Lévy Processes

Part of the book series: Progress in Probability ((PRPR,volume 78))

Abstract

A quasi-infinitely divisible distribution on \(\mathbb {R}^d\) is a probability distribution μ on \(\mathbb {R}^d\) whose characteristic function can be written as the quotient of the characteristic functions of two infinitely divisible distributions on \(\mathbb {R}^d\). Equivalently, it can be characterised as a probability distribution whose characteristic function has a Lévy–Khintchine type representation with a “signed Lévy measure”, a so called quasi–Lévy measure, rather than a Lévy measure. A systematic study of such distributions in the univariate case has been carried out in Lindner, Pan and Sato (Trans Am Math Soc 370:8483–8520, 2018). The goal of the present paper is to collect some known results on multivariate quasi-infinitely divisible distributions and to extend some of the univariate results to the multivariate setting. In particular, conditions for weak convergence, moment and support properties are considered. A special emphasis is put on examples of such distributions and in particular on \(\mathbb {Z}^d\)-valued quasi-infinitely divisible distributions.

In honour of Ron Doney on the occasion of his 80th birthday. This research was supported by DFG grant LI-1026/6-1. Financial support is gratefully acknowledged.

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 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 69.99
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

Notes

  1. 1.

    An answer to this question has been obtained recently by Kutlu [19]. Kutlu shows that \(\mathrm {QID}(\mathbb {R}^d)\) is not dense in \(\mathcal {P}(\mathbb {R}^d)\) if d ≥ 2, by giving an explicit example of a distribution on \(\mathbb {R}^d\) which can not be approximated by quasi-infinitely divisible distributions. In particular, it is shown that its characteristic function can not be approximated arbitrarily well by zero-free continuous functions with respect to uniform convergence on every compact set.

References

  1. Aoyama, T., Nakamura, T.: Behaviors of multivariable finite Euler products in probabilistic view. Math. Nachr. 286, 1691–1700 (2013)

    Article  MathSciNet  Google Scholar 

  2. Applebaum, D.: Lévy Processes and Stochastic Calculus, 2nd edn. Cambridge University Press, Cambridge (2009)

    Book  Google Scholar 

  3. Armstrong, M.A.: Basic Topology. Springer, New York (1983)

    Book  Google Scholar 

  4. Berger, D.: On quasi-infinitely divisible distributions with a point mass. Math. Nachr. 292, 1674–1684 (2018)

    Article  MathSciNet  Google Scholar 

  5. Berger, D. Lindner, A.: A Cramer–Wold device for infinite divisibility of \(\mathbb {Z}^d\)-valued distributions, Bernoulli, accepted for publication (2021). Preprint. Available at https://arxiv.org/abs/2011.08530v1

  6. Bertoin, J.: Lévy Processes. Cambridge University Press, Cambridge (1996)

    MATH  Google Scholar 

  7. Bertoin, J., Doney, R.A., Maller, R.A.: Passage of Lévy processes across power law boundaries at small times. Ann. Probab. 36, 160–197 (2008)

    Article  MathSciNet  Google Scholar 

  8. Chhaiba, H., Demni, N., Mouayn, Z.: Analysis of generalized negative binomial distributions attached to hyperbolic Landau levels. J. Math. Phys. 57(7), 072103, 14pp (2016)

    Google Scholar 

  9. Cuppens, R.: Quelques nouveaux résultats en arithmétique des lois de probabilité. In: C.R. Colloqu. C.N.R.S., Les probabilités sur les structures algébraiques, pp. 97–112. C.N.R.S., Paris (1969)

    Google Scholar 

  10. Cuppens, R.: Decomposition of Multivariate Probabilites. Academic, New York (1975)

    MATH  Google Scholar 

  11. Demni, N., Mouayn, Z.: Analysis of generalized Poisson distributions associated with higher Landau leves. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 18(4), 1550028, 13pp (2015)

    Google Scholar 

  12. Doney, R.: Small-time behaviour of Lévy processes. Electron. J. Probab. 9(8), 209–229 (2004)

    MathSciNet  MATH  Google Scholar 

  13. Doney, R.A.: Fluctuation Theory for Lévy Processes. Lecture Notes in Mathematics, vol. 1897. Springer, Berlin (2007)

    Google Scholar 

  14. Doney, R.A., Maller, R.A.: Stability and attraction to normality for Lévy processes at zero and at infinitey. J. Theoret. Probab. 15(3), 751–792 (2002)

    Article  MathSciNet  Google Scholar 

  15. Gnedenko, B.V., Kolmogorov, A.N.: Limit Distributions for Sums of Independent Random Variables, Rev. edition. Addison Wesley, Reading (1968). Translation of the Russian original of 1949

    Google Scholar 

  16. Kadankova, T., Simon, T., Wang, M.: On some new moments of gamma type. Statist. Probab. Lett. 165, 108854, 7pp (2020)

    Google Scholar 

  17. Kallenberg, O.: Splitting at backward times in regenerative sets. Ann. Probab. 9(5), 781–799 (1981)

    Article  MathSciNet  Google Scholar 

  18. Khartov, A.: Compactness criteria for quasi–infinitely divisible distributions on the integers. Stat. Probab. Lett. 153, 1–6 (2019)

    Article  MathSciNet  Google Scholar 

  19. Kutlu, M.: On a denseness result for quasi-infinitely divisible distributions. Statist. Probab. Lett. 176, 109139, (2021)

    Article  MathSciNet  Google Scholar 

  20. Kyprianou, A.E.: Fluctuations of Lévy Processes with Applications. Introductory Lectures, 2nd edn. Springer, Heidelberg (2014)

    Google Scholar 

  21. Lindner, A., Pan, L., Sato, K.: On quasi-infinitely divisible distributions. Trans. Am. Math. Soc. 370, 8483–8520 (2018)

    Article  MathSciNet  Google Scholar 

  22. Lindner, A., Sato, K.: Properties of stationary distributions of a sequence of generalised Ornstein-Uhlenbeck processes. Math. Nachr. 284, 2225–2248 (2011)

    Article  MathSciNet  Google Scholar 

  23. Linnik, Y.V.: Decomposition of Probability Distributions. Oliver and Boyd Ltd, Edingburgh (1964)

    Google Scholar 

  24. Linnik, Y.V., Ostrovskiĭ, I.V.: Decomposition of Random Variables and Vectors. American Mathematical Society, Providence (1977)

    Google Scholar 

  25. Nakamura, T.: A quasi-infinitely divisible characteristic function and its exponentation. Stat. Probab. Lett. 83, 2256–2259 (2013)

    Article  Google Scholar 

  26. Nakamura, T.: A complete Riemann zeta distribution and the Riemann hypothesis. Bernoulli 21, 604–617 (2015)

    Article  MathSciNet  Google Scholar 

  27. Passeggeri, R.: A density property for stochastic processes (2020). Preprint. Available at arXiv:2010.07752

    Google Scholar 

  28. Passeggeri, R.: Spectral representations of quasi-infinitely divisible processes. Stoch. Process. Appl. 130, 1735–1791 (2020)

    Article  MathSciNet  Google Scholar 

  29. Pears, A.R.: Dimension Theory of General Spaces. Cambridge University Press, Cambridge (1975)

    MATH  Google Scholar 

  30. Rocha-Arteaga, A., Sato, K.: Topics in Infinitely Divisible Distributions and Lévy Processes. Springer Briefs in Probability and Mathematical Statistics, Revised Edition. Springer, Cham (2019)

    Google Scholar 

  31. Samorodnitsky, G., Taqqu, M.S.: Stable Non-Gaussian Random Processes. Chapman & Hall, Boca Raton/New York (1994)

    MATH  Google Scholar 

  32. Sato, K.: Lévy Processes and Infinitely Divisible Distributions. Corrected Printing with Supplement. Cambridge University Press, Cambridge (2013)

    MATH  Google Scholar 

  33. Skorohod, A.V.: Random Processes with Independent Increments. Translated from the second Russian edition. Kluwer Academic Publishers, Dordrecht (1991)

    Book  Google Scholar 

  34. Zhang, H., Liu, Y., Li, B.: Notes on discrete compound Poisson model with applications to risk theory. Insurance Math. Econ. 59, 325–336 (2014)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We would like to thank the anonymous referee for careful reading and valuable suggestions which helped to improve the exposition of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander Lindner .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Berger, D., Kutlu, M., Lindner, A. (2021). On Multivariate Quasi-infinitely Divisible Distributions. In: Chaumont, L., Kyprianou, A.E. (eds) A Lifetime of Excursions Through Random Walks and Lévy Processes. Progress in Probability, vol 78. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-83309-1_6

Download citation

Publish with us

Policies and ethics