About Relaxation Time Approximation

In summary: This is explained by the formulas 13.2 and 13.3, where 13.3 shows how the distribution function is precisely compensated for the loss of electrons due to collisions. In summary, the text discusses the concept of thermal equilibrium and how collisions do not alter the form of the distribution function, as long as the number of electrons scattered away is compensated by electrons coming from different bands/wave vectors. Formulas 13.2 and 13.3 illustrate this concept.
  • #1
hokhani
483
8
I have seriously stocked in the subject below.

According to Ashcrift & Mermin (chapter 13):

If the electrons about [itex]r[/itex] have equilibrium distribution appropriate to local temperature [itex]T(r)[/itex],
[tex]g_n (r,k,t)=g_n^o (r,k)=\frac {1}{ exp^{(\epsilon_n (k) -\mu (r))/kT} +1} (formula 13.2)[/tex] then collisions will not alter the form of distribution function. We know in the time interval dt a fraction [itex]\frac{dt}{\tau_n(r,k)}[/itex] of electrons in band n with wave vector k near position r will suffer a collision that does alter their band index and/or wave vector. If the above form of distribution function is nevertheless to be unaltered, then the distribution of those electrons that emerge from collisions into band n with wave vector k during the same interval must precisely compensate for this loss. Thus:
[tex]g_n (r,k,t)=\frac{dt}{\tau_n(r,k)} g_n^o (r,k) (formula 13.3)[/tex]

I don’t know how is 13.3 obtained.

In fact I don’t know what the text means by form of distribution function in the expression “collisions will not alter the form of distribution function”? On one hand if the electrons near r which left the point (n,k) due to collision are precisely compensated then at a specific (r,k) the distribution function doesn’t have to change and the expression means that [itex]g_n (r,k,t)=g_n^o (r,k)[/itex] which is 13.2. on the other hand using this interpretation, near position r at time interval dt due to collisions[itex] \frac{dt}{\tau_n(r,k)} [/itex] electrons will leave the point (r,n,k) to another point say [itex](r,n^\prime,k^\prime)[/itex] so that [tex]dg_n (r,k,t)=g^0_n{\prime} (r,k^\prime,t^\prime)- g_n^0 (r,k,t)[/tex] where [itex]t^\prime=t+dt[/itex].

However if we were to accept this, how can we consider the [itex] dg_n[/itex] as the number of electrons which have left [itex](r,n,k)[/itex] toward [itex](r,n\prime,k\prime)[/itex] due to collision at time interval dt namely[itex] \frac{dt}{\tau_n(r,k)} g_n^o (r,k)[/itex]? If so, we necessarily must have just prior to collision [itex]g^0_n(r,k,t)= g^0_n\prime(r,k\prime,t)[/itex] so that this amount of electrons that enter there, perform a change in distribution function as much as[itex] \frac{dt}{\tau_n(r,k)} g_n^o (r,k)[/itex]!

Could anyone please help me?
 
Physics news on Phys.org
  • #2
Hmmm, the definition of thermal equilibrium is that (a) because of the finite temperature collisions occur and (b) in equilibrium the (average) situation is static, i.e. time derivatives of statistical properties vanish.

For this to be true, every electron scattered away from band n/wave vector k must be replaced by an electron coming from a different band/wave vector. The population of each band/wave vector therefore stays (on average) constant. With that the form of the distribution function remains constant.
 

1. What is Relaxation Time Approximation?

Relaxation Time Approximation (RTA) is a theoretical model frequently used in the study of many-body systems, such as gases, liquids, and solids. It assumes that the interactions between particles in a system can be approximated by short-lived, random collisions, and that the effects of these collisions can be averaged over time. This allows for simpler calculations and predictions of the behavior of the system.

2. How is RTA used in scientific research?

RTA is used in many areas of scientific research, including physics, chemistry, and materials science. It is particularly useful for studying the behavior of complex systems, such as fluids and solids, where the interactions between particles can be difficult to model accurately. RTA allows scientists to make predictions and calculations about the behavior of these systems, which can then be tested and compared to experimental results.

3. What are the limitations of RTA?

While RTA is a useful tool for studying many-body systems, it does have its limitations. It assumes that the interactions between particles are short-lived and random, which may not always be the case in real systems. Additionally, RTA does not take into account long-range interactions or correlations between particles, which can be important in some systems.

4. How does RTA differ from other approximation methods?

RTA is different from other approximation methods in that it specifically focuses on the relaxation time of a system, which is the time it takes for the system to return to equilibrium after being disturbed. Other approximation methods may focus on different aspects of the system, such as energy or momentum, and may make different assumptions about the behavior of particles.

5. Can RTA be applied to all systems?

RTA is a useful tool for many-body systems, but it may not be applicable to all systems. It is most commonly used in systems where the interactions between particles are relatively weak, such as in dilute gases or liquids. In systems with strong interactions, such as in dense fluids or solids, RTA may not be accurate and other methods may need to be used.

Similar threads

Replies
1
Views
1K
  • Atomic and Condensed Matter
Replies
1
Views
1K
Replies
5
Views
1K
  • Atomic and Condensed Matter
Replies
1
Views
2K
  • Atomic and Condensed Matter
Replies
2
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
9
Views
2K
Replies
131
Views
4K
  • Special and General Relativity
Replies
11
Views
162
  • Advanced Physics Homework Help
Replies
1
Views
810
Replies
1
Views
752
Back
Top