Orthogonality of spherical Bessel functions

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Discussion Overview

The discussion revolves around the behavior of a specific integral function involving spherical Bessel functions, particularly focusing on the value of \( k \) at which the integral peaks. Participants explore the implications of orthogonality relationships and the dimensionality of the integral, as well as methods for simplifying the integral through integration by parts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant questions the orthogonality relationship of the integral function and suggests it should peak at \( k = k_i \) due to this property.
  • Another participant clarifies that the integral is effectively 3D if it only depends on the radial coordinate, proposing a method to convert it into a single 3D integral.
  • A participant shares an approximation of the integral after applying integration by parts, indicating that higher-order integrals are significantly smaller than first-order integrals.
  • Further elaboration on the approximation is provided, including a second-order correction that introduces dependencies on the spherical Bessel function order \( \ell \) due to recursion formulas.
  • Participants discuss the potential significance of higher-order terms in the integral and suggest examining these terms in computational checks.

Areas of Agreement / Disagreement

Participants express differing views on the best method for analyzing the integral and whether the approximations made are valid. There is no consensus on the optimal approach or the implications of higher-order terms.

Contextual Notes

Participants note that the assumptions regarding the dominance of certain terms in the integral may not hold universally, and the discussion includes various levels of approximation and potential corrections that remain unresolved.

sunrah
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at what value of k should the following integral function peak when plotted against k?

[itex] I_{\ell}(k,k_{i}) \propto k_{i}\int^{\infty}_{0}yj_{\ell}(k_{i}y)dy\int^{y}_{0}\frac{y-x}{x}j_{\ell}(kx)\frac{dx}{k^{2}}[/itex]

This doesn't look like any orthogonality relationship that I know, it's a 2D integral for starters, but I'm told it should peak at k = ki due to orthogonality of the jl
 
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This integral is 3D if your integrand only depends on the radial coordinate, and not angular coordinates. Note it starts at 0 and goes outwards. What you need is a way to make this whole thing a single 3D integral. If you expand by parts, you should be able to isolate the integrand of the dx integral as a function of y inside the dy integral, and that should result in the orthogonality integral. If that wasn't clear let me know and I'll write up what I mean in detail.
 
Twigg said:
If that wasn't clear let me know and I'll write up what I mean in detail.

Thanks for replying.
If I understand correctly, I should try integrating by parts. So doing this I find my function can be approximated as
[itex] I_{\ell}(k,k_{i}) \approx \frac{k_{i}}{k^{2}}\int^{\infty}_{0} y^{2}(\ln{y} - 1)j_{\ell}(k_{i}y)j_{\ell}(ky)dy[/itex]

to do this I'v used [itex]j_{\ell}(0) = 0[/itex] for [itex]\ell > 0[/itex] (I'm not interested in monopols) and that the value of higher-order integrals, e.g.
[itex] \int^{\infty}_{0}dz (\int^{z}_{0}dy\int^{y}_{0}j_{\ell}(x)dx)[/itex]

are progressively much smaller than first-order integrals (if that's clear??). My opinion is that for this function [itex]I_{\ell}[/itex] to peak at k=ki then the approximation shown featuring the two un-integrated sph. Bessel functions must dominate. Also just plugging some values into python seems show that there are orders of magnitude difference between higher-order integrals of jl.

Is this what you meant?
 
That is what I had in mind, but to be honest I hadn't examined the remainders when I first replied. It might not be the best method, it's just what jumped out at me. After working it through on paper, I got the same approximation as you when I expanded the inner integral (the dx integral) to first order using integration by parts. When I did the second-order correction, I found that the next term in the part of the inner (dx) integral that is a multiple of the ##\ell##-th spherical bessel depends on ##\ell##, due to the recursion formulas. So when you run your Python calculations, you might want to examine those higher-order integrals for some high-order spherical bessels, like ##j_{10}(x)## and ##j_{100}(x)##, just to be on the safe side.

Here's what I got for the second-order integration by parts expansion:

##\int_{0}^{y} \frac{y-x}{x} j_{\ell}(kx)dx = [ y (\ln y - 1) - \ell y (\ln y - \frac{3}{2}) ]j_{\ell}(kx) - ky^{2} (\ln y - \frac{3}{2}) j_{\ell + 1}(kx) + ...##

By orthogonality, you can ignore the ##\ell + 1## term and higher in ##I_{\ell}##, but the coefficient on the first term will probably be an infinite series in ##\ell##. You might even be able to extrapolate the series.

To get the above result, I used the following recursion relation after the first integration by parts:

##j'_{\ell}(z) = \frac{\ell}{z} j_{\ell}(z) + j_{\ell + 1} (z)##

This is where I'm getting my series for the coefficient on the ##\ell##-th spherical bessel.

Hope this helps!
 

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