Most probable values of the Maxwell Boltzman distribution

Click For Summary
SUMMARY

The discussion focuses on deriving the most probable speed and kinetic energy of a classical, nonrelativistic particle using the Maxwell-Boltzmann distribution. The most probable speed is given by the formula vmp = (2*k*T/m)^(1/2), while the most probable kinetic energy is expressed as EK = (k*T)/2. Despite both values being mathematically verified, participants emphasize that the most probable kinetic energy does not equate to the kinetic energy at the most probable speed due to the nature of probability densities and the intervals involved in their calculations.

PREREQUISITES
  • Understanding of Maxwell-Boltzmann distribution
  • Familiarity with kinetic energy formulas
  • Knowledge of probability density functions
  • Basic principles of statistical mechanics
NEXT STEPS
  • Study the derivation of the Maxwell-Boltzmann speed distribution
  • Explore the relationship between speed and kinetic energy in statistical mechanics
  • Investigate the implications of probability density functions in thermodynamics
  • Learn about the Boltzmann distribution and its applications in physics
USEFUL FOR

Students of physics, particularly those studying thermodynamics and statistical mechanics, as well as researchers interested in the behavior of particles in a gas.

Trivial Man
Messages
1
Reaction score
0
To preface my problem, you should know what I'm deriving. When I try to find the most probable speed of a classical, nonrelativistic particle as described by the Maxwell speed distribution I find that it is vmp=(2*k*T/m)^(1/2). The kinetic energy associated with this particle would then be EK=(m*vmp^2)/2=k*T. Next, when I use the Boltzmann distribution to try and find the most probable kinetic energy of a particle I find that EK=(k*t)/2.

Both of these values I've verified as correct with my book and even in another topic in the forum (https://www.physicsforums.com/showthread.php?t=120947). Multiple sources I've found, including my professor, make it a point to emphasize that the most probable kinetic energy is not the same as the kinetic energy of the most probable speed. However, one would intuitively expect these values to be the same since the speed and kinetic energies of a particle are related. Obviously the math dictates that they are, but from a more physical perspective why are these values different?
 
Physics news on Phys.org
The probability densities mean probability only together with the associated interval . If you ask what is the probability that a molecule has 100 m/s speed, the answer is zero. Even among a lot of molecules in a vessel, the speed of no one will be exactly 100 m/s. You can ask what is the probability that a speed of a molecule is between 10 m/s and 11 m/s, and the answer is : The probability that the speed of a molecule is between v1 and v2 is ∫f(v)dv (integral from v1 and v2). If the interval is very narrow, you can approximate the probability that the speed is between v and v+dv with f(v)dv. If you want the probability that the speed of a molecule is between 100m/s and 100.1 m/s, you can say that it is f(100)*0.1.
The probability density itself is f(v)=dP/dv.

The probability that the speed of a molecule is between v and v+dv is f(v)dv. The probability that the KE of a molecule is between E and E+dE is g(E)dE, where g is the MB distribution function in terms of KE. It can be written in terms of speed: g(E)dE= g(E(v))(dE/dv)dv=f(v)(dE/dv)dv

If you want the most probable speed, it means you need to find v where f(v) is maximum. At the most probable energy, g(E) is maximum, but it is maximum at that speed where f(v)dE/dv = f(v)(mv) is maximum. The intervals dE and dv are not simply proportional.

ehild
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
1K
  • · Replies 26 ·
Replies
26
Views
3K
  • · Replies 13 ·
Replies
13
Views
2K
Replies
29
Views
3K
  • · Replies 4 ·
Replies
4
Views
1K
Replies
1
Views
4K
  • · Replies 12 ·
Replies
12
Views
2K
Replies
26
Views
2K
Replies
23
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K