Diffusion Equation: Flux Must Be Finite Explained

In summary, on page 238 of lamarsh, section 5.5, first paragraph, it says "flux must also be finite". What does it mean? What is the context?
  • #1
candice_84
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Hi Everyone, on page 238 of lamarsh, section 5.5, first paragraph, it says "flux must also be finite". What does it mean?
 
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  • #2
Haven't got lamarsh but common sense says that its very hard to do numerical calculations involving infinite quantities!
 
  • #3
candice_84 said:
Hi Everyone, on page 238 of lamarsh, section 5.5, first paragraph, it says "flux must also be finite". What does it mean?
What is the context.

If one has a function Aex + Be-x, and as x -> infty, Aex would -> infty.

To have a finite flux, the function describing the spatial distribution of the flux muxt be finite.

Also, if the flux is described by a function proportional to 1/r, then as r-> 0, it would go to infinity, so 1/r cannot be used to describe a flux at r=0.

The flux, which is the number of neutrons passing through some unit area per unit time, usually neutrons/cm2-s, is finite because the number of neutrons and atoms is finite.
 
  • #4
candice_84 said:
Hi Everyone, on page 238 of lamarsh, section 5.5, first paragraph, it says "flux must also be finite". What does it mean?

The section is about determining boundary condition, and to do this, we have to consider of what is physically possible values of flux. By this logic we could deduct that the value of flux must be real, nonnegative and also finite.
 
  • #5
I actually happen to have Lamarsh right next to me. For the clarity of everyone else, what the asker is referring to is Section 5.5, entitled "boundary conditions," and it is a general discussion on boundary conditions to the one-speed diffusion equation.

Some more of the excerpt:

"Since the diffusion equation is a partial differential equation, it is necessary to specify certain boundary conditions that must be satisfied by the solution...For example, since a negative or imaginary flux has no meaning, it follows that [tex]\phi[/tex] must be a real, non-negative function. The flux must also be finite, except perhaps at artificial singular points of a source distribution."

That being stated, Astronuc is certainly spot on. But, one should be careful to not extend this in the following way:

It is true that the flux being proportional to [tex]1/r[/tex], itself, if [tex]r =0[/tex] is a point in the solution domain, but the caution I wanted to spread was that do not dismiss all functions that simply have this term in it, one must consider the entire term. For instance, in a spherical, bare, reactor one finds the flux is a solution to the diffusion equation in steady-state as,

[tex]\phi (r) = A\frac{\sin (r/L)}{r} + B\frac{\cos (r/L)}{r}[/tex]

where [tex]L[/tex] is the optical (or diffusion) length, and [tex]A[/tex] and [tex]B[/tex] are constants. A suitable boundary condition is that the flux [tex]\phi < \infty [/tex] as [tex]r\rightarrow 0[/tex], enforcing this limit (although both terms involve [tex]1/r[/tex]), it is noted that the term:

[tex]\lim_{r\rightarrow 0}\frac{\sin (r/L)}{r} \rightarrow \frac{1}{L}[/tex]

while the cosine term becomes infinite (implying we require [tex]B=0[/tex]). (One can show that the sine term has a removable singularity by standard methods (e.g. expansion), or you may enforce the symmetry condition that [tex]\lim_{r\rightarrow 0} 4\pi r^2 J(r) = 0[/tex] to retrieve the same result). The moral I wanted to relate was just that do not think that any [tex]1/r[/tex] term is no good, one must take things as a whole. I realize this was posted awhile back, but perhaps it can help future visitors.
 

1. What is the diffusion equation and why is it important?

The diffusion equation is a mathematical model that describes the process of diffusion, which is the movement of particles from an area of high concentration to an area of low concentration. It is important because it can be applied to various fields such as chemistry, physics, and biology to understand the behavior of particles and their movement.

2. What is flux and why must it be finite in the diffusion equation?

Flux is a measure of the flow rate of particles through a specific area. In the diffusion equation, flux must be finite because it represents the rate of change of concentration of particles, and if the flux is infinite, it would mean an infinite number of particles are moving through the area, which is physically impossible.

3. How is the diffusion equation derived?

The diffusion equation is derived from Fick's laws of diffusion, which describe the movement of particles in a system based on the concentration gradient. By applying Fick's first law, which states that the flux is proportional to the concentration gradient, and Fick's second law, which states that the flux is also proportional to the rate of change of concentration, we can arrive at the diffusion equation.

4. What are the assumptions made in the diffusion equation?

There are a few assumptions made in the diffusion equation, such as the particles being in random motion, the concentration gradient being constant, and the system being in a steady-state. These assumptions may not always hold true in real-life scenarios, but they provide a simplified model for understanding diffusion.

5. How is the diffusion equation used in real-world applications?

The diffusion equation has a wide range of applications in various fields. In chemistry, it is used to study the diffusion of molecules in a liquid or gas. In physics, it is used to model the diffusion of heat and the movement of particles in a medium. In biology, it is used to understand the diffusion of gases in the respiratory system and the movement of molecules across cell membranes.

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