Skip to main content
Log in

Generalization of hermite polynomials

  • Published:
Ukrainian Mathematical Journal Aims and scope

Abstract

A generalization of the Hermite polynomials is given. Some relations which let one construct orthogonal Hermite polynomials successively are obtained.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Literature cited

  1. H. Cramer, Mathematical Methods of Statistics [Russian translation], Mir, Moscow (1975).

    Google Scholar 

  2. T. Anderson, Introduction to Multidimensional Statistical Analysis [in Russian], Fizmatgiz, Moscow (1963).

    Google Scholar 

  3. J. W. Silverstein, “Some limit theorems on the eigenvectors of large dimensional sample covariance matrixes,” Carolina University, Carolina (1980).

    Google Scholar 

  4. Q. Y. Yin, Z. D. Bai, and P. R. Krishnaidh, “On limit of the largest eigenvalue of the large dimensional sample covariance matrix,” Techn. Rep., No. 84 (1984).

  5. S. Kh. Sirazhdinov, “Theory of multidimensional Hermite polynomials,” Tr. Inst. Matem. Mekhan. Akad. Nauk UzSSR,5, 70–95 (1949).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 42, No. 11, pp. 1524–1528, November, 1990.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Skorokhod, A.V., Stepakhno, V.I. Generalization of hermite polynomials. Ukr Math J 42, 1366–1370 (1990). https://doi.org/10.1007/BF01066193

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01066193

Keywords

Navigation