Why use this premise behind the Maxwell-Boltzmann curve?

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In summary, the conversation discusses the Maxwell-Boltzmann gas molecule speed distribution and the question of why it is derived in terms of velocity instead of energy. The premise is that the velocity components in each dimension form a normal curve, whereas energy is bounded at zero. The underlying axioms and principles of statistical physics are also mentioned, with suggestions for further reading.
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Specifically, why are the molecular speeds in any given direction a normal curve? Why not the kinetic energies instead?
I'm trying to understand the Maxwell-Boltzmann gas molecule speed distribution. Suppose we have a container of gas such that all the molecules are identical.

At first I was under the mistaken impression that one starts with the premise that the distribution of their translational kinetic energies is a normal curve, and taking the square roots of these energies to get the speeds gives us the chi curve.

But after further reading, I guess instead the premise is that for each of the three dimensions of space, one assumes that the velocity components in that direction for all the molecules form a normal curve, then squaring those, adding them together and taking the square root to get the absolute speeds is what produces the chi distribution.

I realize that there may not be an answer to this question but, why is the normal curve in the speeds and not the energies? Why does nature prefer one over the other?
 
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So, as I understand it, the question is why p and not E?

Most texts - including Wikipeda- derive it in terms of E starting from in terms of p.
 
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You know that the average velocity of gas molecules is zero in the bulk rest frame, so you have a symmetric probability distribution of velocity components in each dimension. So it's at least possible it's a normal distribution. But you can't say the same for energy - it is bounded at zero, so it cannot be normally distributed.
 
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Thank you both. I've done a little more reading about this since i posted this question and realize it's not as simple a matter as i thought.

I'm always interested in the underlying premises, the axioms as it were.

Here's an interesting video where the function is apparently derived using the pressure/altitude formula - an approach which surprises me.

 
  • #5
If you want to understand more fundamentally where the MB distribution comes from, starting from the barometric equation makes no sense, since it itself comes from a more fundamental basis. (The ideal gas law, which is the other thing used in the video, can also be derived from more basic principles, even though historically it is an empirical law.)

You should pick up a good book on statistical physics. Alternatively:
http://hyperphysics.phy-astr.gsu.edu/hbase/hframe.html
http://www.sns.ias.edu/~tlusty/courses/statphys/statphys.pdf
 
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And 'Physical Chemistry' by P. Atkins is also a good read ...
 
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DrClaude said:
. . starting from the barometric equation makes no sense, since it itself comes from a more fundamental basis.
I did find it troubling that one could start with an approach that assumes a gravitational field to arrive at a relationship which doesn't involve gravity at all.
 
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snoopies622 said:
I did find it troubling that one could start with an approach that assumes a gravitational field to arrive at a relationship which doesn't involve gravity at all.
The thing is that probability of being in a given state goes as ##\exp(-E/kT)##.
 
  • #9
snoopies622 said:
the axioms as it were.
Really, physics doesn't work that way. It's more "lets see how far these guesses and assumptions will take us." Often with the guesses and assumptions being known to be wrong at some level.
 

FAQ: Why use this premise behind the Maxwell-Boltzmann curve?

Why is the Maxwell-Boltzmann distribution important in statistical mechanics?

The Maxwell-Boltzmann distribution is crucial in statistical mechanics because it describes the distribution of speeds among particles in a gas. This distribution helps predict how particles will behave under various conditions, providing insights into properties like temperature, pressure, and energy distribution, which are fundamental to understanding thermodynamic systems.

How does the Maxwell-Boltzmann distribution relate to temperature?

The Maxwell-Boltzmann distribution is directly related to temperature. As temperature increases, the peak of the distribution curve shifts to higher speeds, indicating that particles are moving faster on average. Conversely, at lower temperatures, the peak shifts to lower speeds. This relationship helps explain the kinetic theory of gases and how temperature affects molecular motion.

What assumptions are made in deriving the Maxwell-Boltzmann distribution?

The derivation of the Maxwell-Boltzmann distribution relies on several key assumptions: the gas consists of a large number of identical particles, the particles are in random motion, collisions between particles are elastic, and there are no intermolecular forces except during collisions. These assumptions simplify the complex interactions in a gas, making it possible to derive a mathematical model for particle speed distribution.

Can the Maxwell-Boltzmann distribution be applied to all states of matter?

While the Maxwell-Boltzmann distribution is primarily applicable to ideal gases, it is not directly applicable to liquids and solids due to the significant intermolecular forces present in these states. However, the principles behind the distribution can sometimes be adapted or modified to describe the behavior of particles in other states of matter under certain conditions.

How does the Maxwell-Boltzmann distribution explain the concept of most probable speed?

The Maxwell-Boltzmann distribution curve indicates that not all particles in a gas move at the same speed. The most probable speed corresponds to the peak of the distribution curve, representing the speed at which the largest number of particles are moving. This concept helps in understanding the range of particle speeds and their likelihood, providing a clearer picture of molecular dynamics in gases.

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