Can Bessel Functions Solve Cell Biology Mysteries?

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Discussion Overview

The discussion revolves around the differentiation of improper integrals involving Bessel functions, particularly in the context of cell biology applications. Participants explore the mathematical properties of these integrals and their convergence, as well as the implications for modeling stress in biological systems.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents a function defined by an improper integral of the Bessel function \( J_0(rx) \) and attempts to differentiate it with respect to \( r \), leading to questions about convergence.
  • Another participant suggests that it is permissible to switch the order of differentiation and integration under certain conditions, although they express uncertainty about the convergence of the resulting integral.
  • A later reply cites Mathematica's output indicating non-convergence, yet another participant argues that if their operations are valid, it should converge to \(-\frac{1}{r^2}\), raising concerns about the validity of the integral \(\int_0^\infty m\,J_1(m)\,dm=1\).
  • Participants discuss the reliability of computer algebra systems like Mathematica in handling improper integrals, with one suggesting the use of numerical integration methods to check for convergence.
  • Another participant shares insights on the recurrence relations of Bessel functions and provides a detailed evaluation of integrals involving these functions, leading to further mathematical results.
  • A participant notes that their findings contribute to a journal article in cell biology, linking the mathematical discussion to practical applications in modeling stress exerted by tissue cells on surfaces.

Areas of Agreement / Disagreement

Participants express differing views on the convergence of certain integrals and the validity of their mathematical manipulations. There is no consensus on the convergence of the integral or the correctness of the operations performed.

Contextual Notes

Limitations include potential dependencies on assumptions regarding the integrals' convergence and the specific conditions under which differentiation and integration can be interchanged.

Mapes
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I'm confused about differentiating an improper integral. Consider the function

F(r)=\int_0^\infty J_0(rx)\,dx=\frac{1}{r}\int_0^\infty J_0(m)\,dm=\frac{1}{r}

where I've solved the integral by making the substitution m=rx (I think this is OK). Now I would like to find \frac{\partial F}{\partial r}. From the solution I know that this is -\frac{1}{r^2}, but I would like to do it another way, by differentiating inside the integral. I thought it was allowable to write

\frac{\partial F(r)}{\partial r}=\int_0^\infty \frac{\partial}{\partial r}J_0(rx)\,dx=\int_0^\infty -x\,J_1(rx)\,dx

but this integral doesn't converge. Where have I gone wrong? Thanks!
 
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Mapes said:
I'm confused about differentiating an improper integral. Consider the function

F(r)=\int_0^\infty J_0(rx)\,dx=\frac{1}{r}\int_0^\infty J_0(m)\,dm=\frac{1}{r}

where I've solved the integral by making the substitution m=rx (I think this is OK). Now I would like to find \frac{\partial F}{\partial r}. From the solution I know that this is -\frac{1}{r^2}, but I would like to do it another way, by differentiating inside the integral. I thought it was allowable to write

\frac{\partial F(r)}{\partial r}=\int_0^\infty \frac{\partial}{\partial r}J_0(rx)\,dx=\int_0^\infty -x\,J_1(rx)\,dx

but this integral doesn't converge. Where have I gone wrong? Thanks!

Are you sure it doesn’t converge? You should be able to switch the order of differentiation and integration provided that the limits of integration do not depend on the dependent variable of the derivative.
 
Mathematica says it doesn't converge. If all of my operations are valid, however, then it does converge and equals -\frac{1}{r^2}. This would mean that

\int^\infty_0 m\,J_1(m)\,dm=1

I'm wary about this equation, though. I haven't seen it in any tables of integrals.
 
Mapes said:
Mathematica says it doesn't converge. If all of my operations are valid, however, then it does converge and equals -\frac{1}{r^2}. This would mean that

\int^\infty_0 m\,J_1(m)\,dm=1

I'm wary about this equation, though. I haven't seen it in any tables of integrals.

I wonder if mathematic uses any convergence tests. I'm never 100% confident in answers produced by computer algebra systems. Perhaps consider re-asking the question on either the mathematica news group or the symbolic math newsgroup.
 
Improper integrals of Bessel functions are definitely a weak point of Mathematica. Only recently I encountered a very similar problem. (It was convergent after all.)

Do you have any additional parameters in your integrand which might cause mathematica's convergence tests to fail? If so, try setting them to some fixed value. (In my case, Assuming[] nd With[] was not enough.)

You can also use NIntegrate to check if it converges. It might produce a warnign that it is not, but as long as it gives a reasonable numerical answer it's a good indication that it converges:smile:
 
Thanks, very interesting. I also enjoyed the paper (found via the second link) on speaking math to a computer.
 
The Bessel functions satisy the recurrence relations

J_{n-1}+J_{n+1}=\frac{2\,n}{x}\,J_n\quad \text{and} \quad J_{n-1}-J_{n+1}=2\,J_n'

Adding these, you get

x\,J_{n-1}=n\,J_n+x\,J_n'\overset{n=2}\Rightarrow x\,J_1=2\,J_2+x\,J_2'

while integrating from 0 to \infty

\int_0^\infty x\,J_1\,d\,x=2\int_0^\infty J_2\,d\,x+\int_0^\infty x\,J_2'\,d\,x

The first one equals 2 since \int_0^\infty J_2\,d\,x=1 and the second one can be evaluated by integrating by parts, i.e.

\int_0^\infty x\,J_2'\,d\,x=x\,J_2(x)\Big|_0^\infty-\int_0^\infty J_2\,d\,x=-1

thus

\int_0^\infty x\,J_1(x)\,d\,x=1
 
Very appreciated, thanks. Wow, now I can show that

\int_0^\infty x\,J_0(x)\,d\,x=0
\int_0^\infty x\,J_2(x)\,d\,x=2
etc.

Believe it or not, this is contributing to a journal article in cell biology that I'm working on. When tissue cells attach to a surface, they exert stress on the substrate that can be modeled with elasticity theory. Bessel functions arise naturally from assuming that the stress is applied over a circular area.
 
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