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Is there a way to get a clean presentation of the orthogonal polynomials w.r.t. the Maxwell distribution https://en.wikipedia.org/wiki/Maxwell%E2%80%93Boltzmann_distribution ? If you separate the problems to an even and odd problems, the even part of the orthogonal basis behaves nice enough: one simply takes the quotient of the odd Hermite polynomials by x (since the Maxwell distribution is given by $Cx^2\exp(-x^2/2)$, and Hermite polynomials are orthogonal w.r.t. $\exp(-x^2/2)$) ; as for the even part, I described a semi-solution in the comment below. However, I have no ide how the two parts interact.

The analog question for Laguerre polynomials (i.e. when one moves from the measure $\exp(-x)$ to the measure $C_{\alpha}x^{\alpha}\exp(-x)$ yields a very satisfying result in the form of generalized Laguerre polynomials. Due to the relation between Laguerre polynomials and Hermite polynomials, I'd expect something similar here.

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  • $\begingroup$ For what it's worth, setting $F_{2n+1}=(H_{2n+2} + (2n+1)H_{2n})/x$ for the odd degree polynomials, (which - as mentioned in the question - are the only problem), the inner products form a symmetric tri-diagonal matrix. $\endgroup$ Jun 12, 2016 at 15:17
  • $\begingroup$ According to this reference link.springer.com/chapter/10.1007/978-94-017-9454-1_2 page 30, these are Sonine polynomials with $\alpha=1/2$. But I am afraid that these are only polynomials in $x^2$, that is not what you are asking about. $\endgroup$ Jun 14, 2016 at 9:46
  • $\begingroup$ @FP, thanks, but indeed I want the full orthogonal basis - odd powers included - and I can't believe I'm the first one asking this question, it's very natural if you are analyzing random points in 3D. $\endgroup$ Jun 14, 2016 at 9:53

1 Answer 1

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These are the socalled Maxwell polynomials $M_n^{(p)}(x)$, see page 75 and following of Spectral Methods in Chemistry and Physics. The coefficients for $p=2$, which is the case you need, are given in Table 2.14 of that reference.

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  • $\begingroup$ Specifically (following your references) it seems that what I looked for is referred to as "half range generalized Hermite polynomials". Thanks $\endgroup$ Jun 14, 2016 at 10:23

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