Understanding the Boltzmann Distribution - Integrating N(E) from 0 to Infinity

In summary, the equation N(E)=Aexp(-E/kT) represents a normalized distribution function where the amplitude, A, is chosen such that the area under the graph is equal to 1. This means that the integral of N(E) from 0 to infinity is equal to 1, indicating a 100% probability of finding a particle within this energy range. This is because N(E) is the probability-energy density, representing the number of particles at a certain energy per unit energy. Therefore, summing up all the number of particles at all energy levels leads to a probability of 1.
  • #1
skp524
3
0
For N(E)=Aexp(-E/kT), I know that N(E) is the no. of particles with a certain energy E,
but why does integrating N(E) from 0 to infinity equal to 1? Although I realize that it means that there is 100% probability to find a particle in this range, I want to know why summing up all no. of particles at all energy levels leading to probability, i.e. 1. Do I have some misunderstanding about this equation?
 
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  • #2
skp524 said:
For N(E)=Aexp(-E/kT), I know that N(E) is the no. of particles with a certain energy E,
but why does integrating N(E) from 0 to infinity equal to 1? Although I realize that it means that there is 100% probability to find a particle in this range, I want to know why summing up all no. of particles at all energy levels leading to probability, i.e. 1. Do I have some misunderstanding about this equation?
You are dealing with a normalized distribution function. The amplitude, A, is chosen such that the area under the graph is equal to 1. Can you work out what that amplitude would be?

AM
 
  • #3
Technically, N(E) is not the absolute total number of particles at an energy E, but is rather the probability-energy density; in other words, the number of particles as a fraction of the of the total number of particles at a certain energy per unit energy. The quantity N(E)ΔE is the number of particles in energy range ΔE as a fraction of the of the total number of particles. So the sum ΣN(E)ΔE is the number of particles at all energies as a fraction of the total number of particles, which must be one. Let the range ΔE become very small and the sum becomes an integral: ∫N(E)dE = 1.
 

Related to Understanding the Boltzmann Distribution - Integrating N(E) from 0 to Infinity

1. What is the Boltzmann Distribution?

The Boltzmann Distribution is a statistical concept used to describe the distribution of energies among particles in a system at a given temperature. It is named after Austrian physicist Ludwig Boltzmann and is a fundamental concept in statistical mechanics.

2. How is the Boltzmann Distribution related to energy?

The Boltzmann Distribution states that the probability of a particle having a certain energy level is proportional to the exponential of negative energy divided by temperature. This means that as temperature increases, the probability of a particle having higher energy levels also increases.

3. What does it mean to integrate N(E) from 0 to infinity?

Integrating N(E) from 0 to infinity means finding the total number of particles in a system with energies ranging from 0 to infinity. This integral is often used in the Boltzmann Distribution equation to calculate the total number of particles with a certain energy level.

4. How is the Boltzmann Distribution used in real-life applications?

The Boltzmann Distribution is used in many areas of science, including thermodynamics, statistical mechanics, and chemistry. It is a key concept in understanding the behavior of gases, liquids, and solids, and is also used in the design of electronic devices and in the study of chemical reactions.

5. Are there any limitations to the Boltzmann Distribution?

Yes, the Boltzmann Distribution assumes that the particles in a system are in equilibrium and that there are no interactions between them. It also assumes that the particles are distinguishable and that their energies are continuous. In some systems, these assumptions may not hold and the Boltzmann Distribution may not accurately describe the energy distribution.

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