Maxwell speed distribution

In summary, the conversation discusses calculating the number of molecules of an ideal gas with speeds between 0 and v using the equation N(0,v) = N[erf(xi) - (2/sqrt(pi)) xi e^-xi^2]. This involves manipulating the integral using integration by parts, as shown in the solution provided in the textbook.
  • #1
Je m'appelle
120
0

Homework Statement


Show that the number [tex]N(0,v)[/tex], of molecules of an ideal gas with speeds between 0 and v is given by

[tex]N(0,v) = N \left[ erf(\xi) - \frac{2}{\sqrt{\pi}} \xi e^{-\xi^2} \right][/tex]

Where,

[tex]erf(\xi) = \frac{2}{\sqrt{\pi}} \int_{0}^{\xi} e^{-x^2} dx [/tex]

And,

[tex]\xi^2 = \left(\frac{mv^2}{2kT} \right)[/tex]

Homework Equations



[tex]\frac{dN_v}{N} = \sqrt{\frac{2}{\pi}} \left( \frac{m}{kT}\right)^{\frac{3}{2}} v^2 e^{\frac{-mv^2}{2kT}} \ dv [/tex]

The Attempt at a Solution



Alright, so I managed to get to the following

[tex]\frac{dN_v}{N} = \frac{4}{\sqrt{\pi}} x^2 e^{-x^2} dx [/tex]

Where,

[tex]\alpha = \frac{m}{2kT}, \ x = \sqrt{\alpha}v [/tex]

=========================\\===========================

So far so good, but now when checking the solution on the textbook it claims the following algebraic manipulation which I can't follow

[tex]\frac{2N}{\sqrt{\pi}}\int_{0}^{\xi} x (2xe^{-x^2} dx) = \frac{2N}{\sqrt{\pi}} x e^{-x^2} |_{\xi}^{0} \ + \ N \frac{2}{\sqrt{\pi}} \int_{0}^{\xi} e^{-x^2} dx [/tex]

What was done on the integral above, how can you "split" it like that?
 
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  • #2
Integration by parts
 
  • #3


It's integration by parts. udv=d(uv)-vdu with u=x and dv=(2x)e^(-x^2)dx.
 
  • #4
L-x said:
Integration by parts

But of course! Agh, how didn't I see that, I feel very stupid right now. :biggrin:

Thanks for the highlight, L-x!
 
  • #5
No worries. It's not immidiately obvious, although the integral is written in a way which gives you a clue: x(2x) instead of 2x^2
 

1. What is the Maxwell speed distribution?

The Maxwell speed distribution is a probability distribution that describes the distribution of particle speeds in a gas at a given temperature. It was developed by James Clerk Maxwell in the mid-19th century.

2. How does the Maxwell speed distribution differ from other distributions?

The Maxwell speed distribution is unique in that it takes into account both the speed and direction of particles in a gas, whereas other distributions only consider speed. Additionally, the Maxwell speed distribution is specifically applicable to ideal gases.

3. What factors influence the shape of the Maxwell speed distribution curve?

The shape of the Maxwell speed distribution curve is influenced by the temperature of the gas, the mass of the particles, and the number of particles present. A higher temperature will result in a broader and shorter curve, while a lower temperature will result in a narrower and taller curve.

4. How is the Maxwell speed distribution used in research and industry?

The Maxwell speed distribution is used in a variety of fields, including physics, chemistry, and engineering. It is particularly useful in the design of gas-based systems, such as gas turbines and gas reactors, as well as in the study of gas dynamics and thermodynamics.

5. Are there any limitations to the Maxwell speed distribution?

The Maxwell speed distribution is only applicable to ideal gases, meaning that it does not account for interactions between particles. It also assumes that all particles have the same mass, which may not be accurate in some real-world scenarios. Additionally, the distribution may not accurately describe the behavior of particles at very high speeds.

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