Maxwell-Boltzmann Distribution Alpha and Beta

In summary, the conversation discusses the use of a constant alpha as a parametric constant in the Maxwell-Boltzmann Distribution, which is necessary for the sum of Ni and EiNi to remain constant due to mass and energy conservation. The conversation also explores the role of Lagrange multipliers in extremizing a function with multiple constraints, where alpha and beta are the respective multipliers. These multipliers will not always be 0, as they depend on the specific constraints and extremized function.
  • #1
kidsasd987
143
4
Hi, I have a question about Maxwell-Boltzmann Distribution.

First, because of mass conservataion and energy conservatioin, Sum Ni and Sum EiNi must be constant.
Partial of both sum will be 0.

Is that why we adopted constant alpha as a parametric constant? because without alpha, partial Nj of Sum Ni will be 1 and there must be inequality because partial Nj of Sum Ni has to be 0. And would that mean alpha and beta will be always 0?
 

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  • #2
If you are trying to extremize some function ##S(N_1, N_2, \dots, N_n)## with respect to some constraint ##f(N_1, N_2, \dots, N_n)=0## it must be that at the extreme point the tangent space of the level set of ##S## coincides with the tangent of the constraint level set. Otherwise you could make a differential change to the ##N_i## in a direction allowed by the constraint and obtain a different value of ##S##. Thus ##S## would not be extremized.

The statement that the level sets have the same tangent space is the same as saying the gradients of ##S## and ##f## must be proportional to one another. We call these proportionality constants Lagrange multipliers.

In the above example there are two constraints instead of one. The constants ##\alpha## and ##\beta## are the Lagrange multipliers. ##\alpha## and ##\beta## will not always be 0.
 

Related to Maxwell-Boltzmann Distribution Alpha and Beta

What is the Maxwell-Boltzmann Distribution Alpha and Beta?

The Maxwell-Boltzmann Distribution Alpha and Beta is a mathematical model that describes the distribution of speeds of particles in a gas at a given temperature. It is used to understand the behavior of gases and the movement of particles within them.

What is the difference between the Alpha and Beta parameters in the Maxwell-Boltzmann Distribution?

The Alpha parameter in the Maxwell-Boltzmann Distribution represents the average speed of the particles in the gas, while the Beta parameter represents the spread or width of the distribution curve. In other words, the Alpha parameter determines the peak of the curve, while the Beta parameter determines the shape of the curve.

How is the Maxwell-Boltzmann Distribution used in real-world applications?

The Maxwell-Boltzmann Distribution is used in various fields, such as physics, chemistry, and engineering, to study and predict the behavior of gases. It is also used in the design and optimization of technologies such as gas turbines and chemical reactors.

What factors affect the shape of the Maxwell-Boltzmann Distribution curve?

The shape of the Maxwell-Boltzmann Distribution curve is affected by temperature, mass of the particles, and the nature of the interactions between the particles. A higher temperature leads to a broader curve, while a lower temperature leads to a narrower curve. Heavier particles have a lower average speed, resulting in a lower peak of the curve. The nature of particle interactions can also affect the shape of the curve, such as the presence of attractive or repulsive forces between particles.

How does the Maxwell-Boltzmann Distribution relate to the kinetic theory of gases?

The Maxwell-Boltzmann Distribution is derived from the kinetic theory of gases, which states that gas particles move randomly and collide with each other and the walls of the container. The distribution of particle speeds in a gas is a direct result of this random motion and collisions. The Maxwell-Boltzmann Distribution provides a quantitative explanation for the behavior of gases predicted by the kinetic theory.

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