Skip to content
Surf Wiki
Save to docs
general/orthogonal-polynomials

From Surf Wiki (app.surf) — the open knowledge base

Bateman polynomials


In mathematics, the Bateman polynomials are a family F**n of orthogonal polynomials introduced by . The Bateman–Pasternack polynomials are a generalization introduced by .

Bateman polynomials can be defined by the relation :F_n\left(\frac{d}{dx}\right)\operatorname{sech}(x) = \operatorname{sech}(x)P_n(\tanh(x)). where P**n is a Legendre polynomial. In terms of generalized hypergeometric functions, they are given by :F_n(x)={}_3F_2\left(\begin{array}{c}-n,n+1,\tfrac12(x+1)\ 1,~1 \end{array}; 1\right).

generalized the Bateman polynomials to polynomials F with

:F_n^m\left(\frac{d}{dx}\right)\operatorname{sech}^{m+1}(x) = \operatorname{sech}^{m+1}(x)P_n(\tanh(x))

These generalized polynomials also have a representation in terms of generalized hypergeometric functions, namely :F_n^m(x)={}_3F_2\left(\begin{array}{c}-n,n+1,\tfrac12(x+m+1)\ 1,~m+1 \end{array}; 1\right).

showed that the polynomials Q**n studied by , see Touchard polynomials, are the same as Bateman polynomials up to a change of variable: more precisely : Q_n(x)=(-1)^n2^nn!\binom{2n}{n}^{-1}F_n(2x+1)

Bateman and Pasternack's polynomials are special cases of the symmetric continuous Hahn polynomials.

Examples

The polynomials of small n read :F_0(x)=1; :F_1(x)=-x; :F_2(x)=\frac{1}{4}+\frac{3}{4}x^2; :F_3(x)=-\frac{7}{12}x-\frac{5}{12}x^3; :F_4(x)=\frac{9}{64}+\frac{65}{96}x^2+\frac{35}{192}x^4; :F_5(x)=-\frac{407}{960}x-\frac{49}{96}x^3-\frac{21}{320}x^5;

Properties

Orthogonality

The Bateman polynomials satisfy the orthogonality relation :\int_{-\infty}^{\infty}F_m(ix)F_n(ix)\operatorname{sech}^2\left(\frac{\pi x}{2}\right),dx = \frac{4(-1)^n}{\pi(2n+1)}\delta_{mn}. The factor (-1)^n occurs on the right-hand side of this equation because the Bateman polynomials as defined here must be scaled by a factor i^n to make them remain real-valued for imaginary argument. The orthogonality relation is simpler when expressed in terms of a modified set of polynomials defined by B_n(x)=i^nF_n(ix), for which it becomes :\int_{-\infty}^{\infty}B_m(x)B_n(x)\operatorname{sech}^2\left(\frac{\pi x}{2}\right),dx = \frac{4}{\pi(2n+1)}\delta_{mn}.

Recurrence relation

The sequence of Bateman polynomials satisfies the recurrence relation :(n+1)^2F_{n+1}(z)=-(2n+1)zF_n(z) + n^2F_{n-1}(z).

Generating function

The Bateman polynomials also have the generating function :\sum_{n=0}^{\infty}t^nF_n(z)=(1-t)^z,_2F_1\left(\frac{1+z}{2},\frac{1+z}{2};1;t^2\right), which is sometimes used to define them.

References

  • {{cite journal|first1= Nadhla A. |last1=Al-Salam |doi-access=free}}

References

  1. Koelink (1996)
  2. Bateman, H. (1934), [https://www.jstor.org/stable/1968493 "The polynomial F_n(x)"], ''Ann. Math.'' '''35''' (4): 767-775.
  3. Bateman (1933), p. 28.
  4. Bateman (1933), p. 23.
Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about Bateman polynomials — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report