Understanding Griffiths' Example 5.8: Ienc = KL?

In summary, the conversation discusses an example in Introduction to Electrodynamics by Griffiths where the enclosed current is equal to KL. The line integral is along the y-axis and the dot product of the magnetic field and dl gives 2Bl. The current enclosed is not \oint\vec{K} \cdot \vec{dl} but instead given by the flux of current through the surface bounded by the Amperian loop. The flux is \int_{\mathcal{S}} \vec{K} \cdot \vec{da}=\int_{\mathcal{S}} (\delta(z)K)dydz=\int_0^l Kdy=Kl, where the dirac delta is used since the
  • #1
joeyjj3
2
0
I'm having a hard time understanding example 5.8 in Introduction to Electrodynamics by Griffiths. Why, exactly, is Ienc = KL? It makes sense intuitively, but I don't see how to get this result explicitly -- shouldn't the line integral be along the y-axis, and since [tex]\bar{K}[/tex]=K[tex]\hat{x}[/tex], shouldn't the dot product be equal to zero? If it's not along the y-axis, how is it that the integral can be from L to 0? If anybody could explicitly do the dot product and integral that finds the enclosed current in this example (5.8 Griffiths), that would be really helpful.

Thanks for any info.
 
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  • #2
You don't take the dot product between [itex]\vec{K}[/itex] and [itex]\vec{dl}[/itex]. You take the dot product of the magnetic field with [itex]\vec{dl}[/itex].

The magnetic field [itex]\vec{B}[/itex] points in the y-direction and is uniform (due to symmetry), so the integral of [itex]\vec{B} \cdot \vec{dl}[/itex] over the path of the Amperian loop simply gives you 2Bl (If you go counterclockwise around the loop; and -2Bl if you go clockwise)

The current enclosed by the amperian loop is not [tex]\oint\vec{K} \cdot \vec{dl}[/tex]!

It is instead given by the flux of current through the surface bounded by the Amperian loop. This surface has a normal in the x-direction (if you go counterclockwise around the loop when determining the integral of B dot dl) , so the flux of current is

[tex]\int_{\mathcal{S}} \vec{K} \cdot \vec{da}=\int_{\mathcal{S}} (\delta(z)K)dydz=\int_0^l Kdy=Kl[/tex]

Where the dirac delta is used since the surface current is zero when [itex]z\neq 0[/itex].

Follow?
 
Last edited:
  • #3
Yes, that makes perfect sense. Thanks!
 

Related to Understanding Griffiths' Example 5.8: Ienc = KL?

What is Griffiths' Example 5.8: Ienc = KL?

Griffiths' Example 5.8 is a problem in statistical mechanics that involves calculating the mutual information (Ienc) between two systems, A and B, that are in thermal equilibrium. This is represented by the equation Ienc = KL, where K is the Boltzmann constant and L is the difference in the average energy of the two systems.

Why is understanding this example important?

Griffiths' Example 5.8 is an important example in statistical mechanics because it demonstrates the concept of mutual information, which is a fundamental quantity in the study of information theory. It also illustrates the relationship between thermodynamics and information theory.

What is the significance of Ienc = KL in this example?

In this example, Ienc = KL represents the maximum amount of information that can be transferred between the two systems A and B while maintaining thermal equilibrium. This quantity is also known as the mutual information capacity.

What are the assumptions made in Griffiths' Example 5.8?

There are several assumptions made in this example, including that the systems A and B are in thermal equilibrium, that they have a large number of particles, and that they are in a closed system with no external influences. These assumptions allow for the use of statistical mechanics and information theory to analyze the systems.

How is Griffiths' Example 5.8 related to other concepts in statistical mechanics?

Griffiths' Example 5.8 is related to other concepts in statistical mechanics, such as entropy, free energy, and the Boltzmann distribution. It also relates to concepts in information theory, such as mutual information and Shannon entropy. Understanding this example can provide insights into how these concepts are interconnected and can be applied in other problems in statistical mechanics.

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