Integrating Diffusion: Problem Solving and Fick's Law Explained

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SUMMARY

The discussion centers on solving a complex integral related to diffusion processes as described by Fick's Law. The flux of particles is defined by the equation F_{l} = - D \frac{\partial P(x,t)}{\partial x}, where D is a diffusion constant. The user is tasked with calculating the mean time for a particle to reach an absorbing barrier, leading to an integral that appears unbounded. The correct probability distribution function P(x,t) should incorporate the error function (erf) rather than the exponential function, indicating a need for adjustment in the model.

PREREQUISITES
  • Understanding of Fick's Law and diffusion processes
  • Knowledge of Gaussian distributions in probability theory
  • Familiarity with integral calculus and techniques for evaluating improper integrals
  • Experience with error functions (erf) in statistical mechanics
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  • Study the derivation and application of Fick's Law in diffusion problems
  • Learn about Gaussian distributions and their properties in statistical analysis
  • Explore techniques for evaluating improper integrals, particularly substitutions like t = 1/z^2
  • Investigate the role of the error function (erf) in probability distributions and its implications in diffusion
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Researchers, physicists, and students working on diffusion processes, statistical mechanics, or those involved in mathematical modeling of particle dynamics.

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I am working on a problem (not homework) on diffusion and have landed up with an integral which I simply cannot integrate. No method seems to work.

I shall first describe the problem a little for you to check if I have landed up on the correct route, and then present the integral.

According to Fick's law, the flux of particles(Fl) crossing a point can be given by

F_{l} = - D \frac{\partial P(x,t)}{\partial x}

where D is some constant.

My problem is concerned only with first passages, so I have been told to assume that there is an absorbing barrier at a certain length l away from the origin. The particle starts its motion from the origin and its motion is a diffusion process with equal probability of moving in either direction. Hence, a Guassian distribution is going to be used as the model.

P(x,t) = [exp(\frac{-x^{2}}{2Dt}) - exp(\frac{-l^{2}}{2Dt})]/ \sqrt{2Dt}

On differentiating this term with respect to x only the first term survives.

Now here comes my problem: I am supposed to find the mean time <T>, that the particle takes to hit the wall. Here is the integral:

<T> = \frac{\int_{0}^{\infty} t F_{l}dt}{\int_{0}^{\infty}F_{l}dt}

= \frac{<br /> \int_{0}^{\infty} \frac{<br /> exp[-x^{2}/2Dt]}{\sqrt{t}<br /> }dt<br /> }<br /> <br /> {\int_{0}^{\infty} \frac{<br /> exp[-x^{2}/2Dt]dt}{t \sqrt{t}<br /> }}<br />

I have a feeling this integral on the numerator might be unbounded. How do I integrate it? Following this I also have to do the case where the probability of moving towards anyone side is biased. Any hints?
 
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Both integrals can be integrated using a substitition t = 1/z^2. Your numerator diverges. Check the expression for P, Wikipedia states that you should have erf instead of exp.
 

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