A standard Maxwell-Boltzmann distribution (B) is defined by analogy to the concept of the standard Gaussian distribution. The most important statistical properties of B, as well as a simple method for generating random numbers from the standard Maxwell-Boltzmann distribution are presented. Given tha...
A standard Maxwell-Boltzmann distribution (B) is defined by analogy to the concept of the standard Gaussian distribution. The most important statistical properties of B, as well as a simple method for generating random numbers from the standard Maxwell-Boltzmann distribution are presented. Given that the properties of B are already known, it is advantageous to describe any arbitrary Maxwell-Boltzmann distribution as a function of the standard Maxwell-Boltzmann distribution B. By using this approach, it is possible to demonstrate that the temperature of a material is a function only of the fluctuating component of the average molecular kinetic energy, and that it is independent of its macroscopic kinetic energy.
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Standard Maxwell- Boltzmann Distribution : Definition , Properties and Applications Medellín , 20/11/2017 www.forschem.org 1 Hugo Hernández, Dr.rer.nat . [email protected]
Introduction 2
Background Statistics Random variable : Probability density function : Expected value : Variance : 3
Maxwell- Boltzmann Distribution 4 Equation of molecular motion ( relative to the system ): Net force acting on molecule in - direction : Normal distribution (Central Limit Theorem ) Therefore , the molecular velocity in a single direction is also normally distributed ! Standard normal random variable Unit direction vector
Maxwell- Boltzmann Distribution 5 Overall relative molecular speed: The molecular speed is a random variable with the following probability density: Maxwell-Boltzmann distribution! Distribution of the norm of a 3-D vector of zero -mean normal random variables!
Maxwell- Boltzmann Distribution 6 Molecular speed distributions for potassium gas obtained from the Maxwell-Boltzmann distribution at 300 K, 544 K and 1000 K
Maxwell- Boltzmann Distribution 7 Predicted (solid line) vs. experimental (data points) distributions of molecular speeds for potassium gas in a vacuum oven at 544 K [1] Miller , R. C., & Kusch, P. (1955). Velocity distributions in potassium and thallium atomic beams. Physical Review, 99(4), 1314.
Generalized Maxwell- Boltzmann Distribution in Multicomponent Systems 8
Definition of the Standard maxwell- boltzmann distribution 9
Standard Maxwell- Boltzmann Distribution B 10
Standard Maxwell- Boltzmann Distribution B 11 Probability density function for the standard Maxwell-Boltzmann random variable
Standard Maxwell- Boltzmann Distribution B 12 The molecular speed distribution for species j simplifies into: where the average molecular speed is: The molecular velocity distribution for species j is: Unit direction random vector
Standard Maxwell- Boltzmann Distribution : Random numbers generation 13 Histogram of 10.000 random numbers generated compared to the corresponding standard Maxwell-Boltzmann probability density function Uniform random number [0, 1]
Some Properties of the Standard maxwell- boltzmann distribution 14
Standard Maxwell- Boltzmann Distribution : Properties 15
Standard Maxwell- Boltzmann Distribution : Properties 16
Standard Maxwell- Boltzmann Distribution : Properties 17
Standard Maxwell- Boltzmann Distribution : Properties 18
Standard Maxwell- Boltzmann Distribution : Properties 19
applications of the Standard maxwell- boltzmann distribution 20
Standard Maxwell- Boltzmann Distribution : Applications Thermodynamics of an ideal gas: 21 Average temperature
Standard Maxwell- Boltzmann Distribution : Applications Thermodynamics of an ideal gas: 22
Standard Maxwell- Boltzmann Distribution : Applications Thermodynamics of an ideal gas: 23 Virial equation
Standard Maxwell- Boltzmann Distribution : Applications Thermodynamics of an ideal gas: 24
Standard Maxwell- Boltzmann Distribution : Applications Kinetic theory of gases: 25 Relative molecular speed between two molecules: Time between consecutive collisions:
Standard Maxwell- Boltzmann Distribution : Applications Kinetic theory of gases: 26 Time between collisions for Maxwell-Boltzmann molecular speed distributions:
Standard Maxwell- Boltzmann Distribution : Applications Kinetic theory of gases: 27 Standard Collision Probability Density Function:
Standard Maxwell- Boltzmann Distribution : Applications Kinetic theory of gases: 28 Conventional exponential : 27% error 247 % error 61% error
Standard Maxwell- Boltzmann Distribution : Applications Molecular Diffusion : 29
Standard Maxwell- Boltzmann Distribution : Applications Molecular Diffusion : 30
Additional applications ? 31
Further Reading Hernandez, H. (2016). Modelling the effect of fluctuation in nonlinear systems using variance algebra - Application to light scattering of ideal gases, ForsChem Research Reports, 2016-1, doi : 10.13140/RG.2.2.36501.52969 . Hernandez , H. (2017). Standard Maxwell-Boltzmann distribution: Definition and properties. ForsChem Research Reports 2017-2. doi : 10.13140/RG.2.2.29888.74244 . Hernandez, H. (2017). On the generalized validity of the Maxwell-Boltzmann distribution and the zeroth Law of Thermodynamics. ForsChem Research Reports 2017-4. doi : 10.13140/RG.2.2.26937.16480 . Hernandez, H. (2017). Molecular Free Path Statistical Distribution of Multicomponent Systems. ForsChem Research Reports 2017-6. doi : 10.13140/RG.2.2.15605.58088 . Hernandez , H. (2017). Multicomponent Molecular Collision Kinetics: Rigorous Collision Time Distribution. ForsChem Research Reports 2017-7. doi : 10.13140/RG.2.2.26218.31689 . Hernandez , H. (2017). Multicomponent Molecular Collision Kinetics: Collision Rate and the Collision Frequency Paradox. ForsChem Research Reports 2017-8. doi : 10.13140/RG.2.2.32983.27048 . Hernandez , H. (2017). Multicomponent Molecular Diffusion: A Mathematical Framework. ForsChem Research Reports 2017-9. doi : 10.13140/RG.2.2.14828.46724 . Hernandez, H. (2017). Multivariate Probability Theory: Determination of Probability Density Functions. ForsChem Research Reports 2017-13. doi : 10.13140/RG.2.2.28214.60481 . 32