How did my professor get this integral

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The discussion focuses on deriving the Maxwell distribution function for classical gases in one and two dimensions. Participants clarify the normalization constant K, which is determined through the Gaussian integral, resulting in K = (k/π)^(1/2) for 1-D and K^2 = (k/π) for 2-D. The integral is recognized as a Gaussian integral, and its evaluation is linked to the properties of the Gaussian error function. The conversation emphasizes the importance of correctly applying the integral limits and the structure of the Gaussian function in both dimensions. Overall, the derivation aligns with the principles of statistical mechanics and the equipartition theorem.
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Homework Statement


derive maxwell distribution function in case of 1-d and 2-d classical gas

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The Attempt at a Solution


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The constant K can be solved from normalization.
##\int_{-∞}^{∞} F(V_x)dV_x = 1##

substituting ##F(V_x)=Ke^{+/- kV_x^2}##

##1 = K\int_{-∞}^{∞} e^{-kV_x^2}dV_x##
which equals:
##K(\frac{π}{k})^{1/2}##

how did that integral become that result?
 
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I suspect that he used the definition of the Gauss error function and its limiting values at +/- ∞. At least, that's what I would do :smile:
 
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This is the integral of a Gaussian (a bell curve essentially). There are plenty of resources online that give you the general form of this integral. One such resource is http://www.umich.edu/~chem461/Gaussian Integrals.pdf. They also include a very handy derivation.
 
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Daniel Gallimore said:
This is the integral of a Gaussian (a bell curve essentially). There are plenty of resources online that give you the general form of this integral. One such resource is http://www.umich.edu/~chem461/Gaussian Integrals.pdf. They also include a very handy derivation.

I followed that. And it assuming I did it correctly... I got the same result.
##K = \frac{k}{π}^\frac{1}{2}## in 1-D
and
##K^2 = \frac{k}{π}## which is the same thing for 2-D

is that right?
 
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grandpa2390 said:
I followed that. And it assuming I did it correctly... I got the same result.
##K = \frac{k}{π}^\frac{1}{2}## in 1-D
and
##K^2 = \frac{k}{π}## which is the same thing for 2-D

is that right?

For 1D, make sure to put some parenthesis around you fraction so we can tell you're setting the whole fraction the the 1/2 power.

For 2D, I believe your formula generalizes to 1 = K\int_{-∞}^{∞}\int_{-∞}^{∞} e^{-k(V_x^2+V_y^2)}dV_x \, dV_y
 
Daniel Gallimore said:
For 1D, make sure to put some parenthesis around you fraction so we can tell you're setting the whole fraction the the 1/2 power.

For 2D, I believe your formula generalizes to 1 = K\int_{-∞}^{∞}\int_{-∞}^{∞} e^{-k(V_x^2+V_y^2)}dV_x \, dV_y

well I thought it was ##F(V_x)F(V_y) = Ke^{(..)}Ke^{(...)}## and so K^2
 
grandpa2390 said:
well I thought it was ##F(V_x)F(V_y) = Ke^{(..)}Ke^{(...)}## and so K^2

A one-dimensional Gaussian has the form F(x)=Ke^{-\alpha x^2} A two-dimensional Gaussian has the form F(x,y)=Ke^{-\alpha (x^2+y^2)} For an ideal gas in two dimensions, the Maxwell velocity distribution is a two-dimensional Gaussian (I'm assuming V_i represents the speed in the ith direction). This is a consequence of the equipartition theorem.
 
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