Editing Maxwell speed distribution

The '''Maxwellian velocity distribution''' <ref> [http://books.google.com/books?id=hYIBOMxIuvEC&source=gbs_similarbooks_r&cad=2 James C. Maxwell, "The scientific papers of James Clerk Maxwell", Edited by W.D. Niven, paper number XX,  Dover Publications, Vol. I,II, New York, USA (2003)]</ref> provides  probability that the speed of a molecule of mass ''m'' lies in the range ''v'' to ''v+dv'' is given by

:<math>P(v)dv = 4 \pi v^2 dv \left( \frac{m}{2 \pi k_B T} \right)^{3/2} \exp (-mv^2/2k_B T) </math>

where ''T'' is the [[temperature]] and <math>k_B</math> is the [[Boltzmann constant]].
The maximum of this distribution is located at 

:<math>v_{\rm max} = \sqrt{\frac{2k_BT}{m}}</math>

The mean speed is given by 

:<math>\overline{v} = \frac{2}{\sqrt \pi} v_{\rm max}</math>

and the root-mean-square speed by

:<math>\sqrt{\overline{v^2}} = \sqrt \frac{3}{2} v_{\rm max}</math>


==Derivation==
According to the '''Shivanian and Lopez-Ruiz model''' <ref>[http://arxiv.org/abs/1105.4813 Elyas Shivanian and Ricardo Lopez-Ruiz "A New Model for Ideal Gases. Decay to the Maxwellian Distribution", arXiv:1105.4813v1 24 May (2011)]</ref>, consider an [[ideal gas]] composed of particles having a mass of unity  in the three-dimensional (<math>3D</math>) space. As long as there no privileged direction when in  equilibrium, we can take any direction in  space and  study the discrete time evolution of the velocity distribution in that direction. Let us call this axis <math>U</math>. We can complete a Cartesian system with two additional orthogonal axis <math>V,W</math>. If <math>p_n(u){\mathrm d}u</math> represents the probability of finding a particle of the gas with velocity component in the direction <math>U</math> comprised between <math>u</math> and <math>u + {\mathrm d}u</math> at time <math>n</math>, then the probability to have at this time <math>n</math> a particle with a <math>3D</math> velocity <math>(u,v,w)</math> will be <math>p_n(u)p_n(v)p_n(w)</math>. The particles of the gas collide between them, and after a number of interactions of the order of system size, a new velocity distribution is attained at time <math>n+1</math>. Concerning the interaction of particles with the bulk of the gas, we make two simplistic and realistic assumptions in order to obtain the probability of having a velocity <math>x</math> in the direction <math>U</math> at time <math>n+1</math>: (1) Only those particles with an energy greater than <math>x^2</math> at time <math>n</math> can contribute to this velocity <math>x</math> in the direction <math>U</math>, that is, all those particles whose velocities <math>(u,v,w)</math> verify <math> u^2+v^2+w^2\ge x^2</math>; (2) The new velocities after collisions are equally distributed in their permitted ranges, that is, particles with velocity <math>(u,v,w)</math> can generate maximal velocities <math>\pm U_{max}=\pm\sqrt{u^2+v^2+w^2}</math>, then the allowed range of velocities <math>[-U_{max},U_{max}]</math> measures <math>2|U_{max}|</math>, and the contributing probability of these particles to the velocity <math>x</math> will be <math>p_n(u)p_n(v)p_n(w)/(2|U_{max}|)</math>. Taking all together we finally get the expression for the evolution operator <math>\mathcal T </math>. This is:


:<math>
p_{n+1}(x)=\mathcal Tp_n(x) = \iiint_{u^2+v^2+w^2\ge x^2}\,{p_n(u)p_n(v)p_n(w)\over 2\sqrt{u^2+v^2+w^2}} \; {\mathrm d}u~{\mathrm d}v~{\mathrm d}w\,.
</math>

Let us remark that we have not made any supposition about the type of interactions or collisions
between the particles and, in some way, the equivalent of the Boltzmann hypothesis of ''molecular chaos'' would be the two simplistic assumptions we have stated on the interaction of particles with the bulk of the gas. In fact, the operator <math>\mathcal T</math> conserves the energy and the null momentum of the gas over time. Moreover, for any initial velocity distribution, the system tends towards its equilibrium, i.e. towards the Maxwellian Velocity Distribution (MVD). This means that


:<math>
\lim_{n\rightarrow\infty} \mathcal T^n \left(p_0(x)\right) \rightarrow p_f(x)= \mathrm{MVD}\;(1D\;case)\,.
</math>


Let us sketch now all these properties. First, we introduce the norm <math>||\cdot||</math> of positive functions (one-dimensional velocity distributions) in the real axis as

:<math>
\vert\vert p\vert\vert=\int_{-\infty}^{+\infty} p(x) dx.
</math>

Then we have the following exact results:

===Theorem 1===

For any <math>p</math> with <math>||p||=1</math>, we have <math>||\mathcal Tp||=||p||</math>.

This can be interpreted as the conservation of the number of particles, or in an equivalent way, the total mass of the gas.

===Theorem 2===

The mean value of the velocity in the recursion <math>p_n=\mathcal T^np_0</math> is conserved in time. 
In fact, it is null for all <math>n</math>:

:<math>
\langle x,\mathcal Tp \rangle = \langle x,\mathcal T^2p \rangle = \langle x,\mathcal T^3p \rangle=\cdots= \langle x,\mathcal T^np \rangle =\cdots=0\,,
</math>

where

:<math>
\langle f,g \rangle =\int_{-\infty}^{+\infty}f(x)g(x){\mathrm d}x\,.
</math>

It means that the zero total momentum of the gas is conserved in its time evolution under the action of <math>\mathcal T</math>.

===Theorem 3===

For every <math>p</math> with <math>||p||=1</math>, we have

:<math>
\langle x^2,p \rangle= \langle x^2,\mathcal Tp \rangle= \langle x^2,\mathcal T^2p \rangle= \langle x^2,\mathcal T^3p \rangle =\cdots= \langle x^2,\mathcal T^np \rangle=\cdots \,.
</math>

It means that the mean energy per particle is conserved and in consequence, by Theorem 1, the total energy of the gas is conserved in time.

===Theorem 4===

The one-parametric family of normalized Gaussian functions <math>p_{\alpha}(x)=\sqrt{\alpha\over\pi}e^{-\alpha x^2}</math>, <math>\alpha\ge 0</math>, <math>||p_{\alpha}||=1</math>, are fixed points of the operator <math>\mathcal T</math>. In other words, <math>\mathcal Tp_{\alpha}=p_{\alpha}</math>.

===Theorem 5===

For distributions <math>p</math> with <math>||p||=1</math>, suppose that <math>\lim_{n\rightarrow\infty}||\mathcal T^np(x)-\mu(x)||=0</math>, and <math>\mu(x)</math> is a normalized continuous distribution, then <math>\mu(x)</math> is a fixed point of the operator <math>\mathcal T </math>. 

===Conjecture===

As a consequence of the former theorems, and by simulation of many examples,  the following conjecture can be stated:

For any <math>p</math> with <math>||p||=1</math>, with finite <math> \langle x^2,p \rangle </math> and verifying <math>\lim_{n\rightarrow\infty} ||\mathcal T^np(x)-\mu(x)||=0</math>, the limit <math>\mu(x)</math> is the fixed point <math>p_{\alpha}(x)=\sqrt{\alpha\over\pi}\,e^{-\alpha x^2}</math>, with <math>\alpha=(2\, \langle x^2,p \rangle)^{-1}</math>. That is, the asymptotic steady state is the [[Gaussian distribution]] with the same mean energy than the initial out-of-equilibrium state <math>p</math>.

===Conclusion===

In physical terms, it means that for any initial velocity distribution of the gas, it decays to the Maxwellian distribution, which is just the fixed point of the dynamics. Recalling that <math> \langle x^2,p \rangle=k_BT</math>, with <math>k_B</math> the Boltzmann constant and <math>T</math> the temperature of the gas, and introducing the mass <math>m</math> of the particles, let us observe that the MVD (above presented) is recovered in its <math>3D</math> format: 

:<math>
\mathrm{MVD} = p_{\alpha}(u)p_{\alpha}(v)p_{\alpha}(w)=\left({m\alpha\over\pi}\right)^{3\over 2}\,\exp^{-m\alpha (u^2+v^2+w^2)} \;\;\; with \;\;\;  \alpha=(2k_B T)^{-1}.
</math>

Moreover, an increase in the [[entropy]] is found during all the decay process. This gives rise to the celebrated [[H-theorem]] <ref>Ludwig Boltzmann, "Lectures on Gas Theory", Translated by S.G. Brush, Dover Publications, New York, USA (1995) ISBN 0486684555</ref>.

==References==
<references/>

;Related reading

*[http://www.ingentaconnect.com/content/tandf/tmph/2005/00000103/F0030021/art00003 J. S. Rowlinson "The Maxwell-Boltzmann distribution", Molecular Physics '''103''' pp. 2821 - 2828 (2005)]

==External resources==

*[ftp://ftp.dl.ac.uk/ccp5/ALLEN_TILDESLEY/F.24   Initial velocity distribution] sample FORTRAN computer code from the book [http://www.oup.com/uk/catalogue/?ci=9780198556459 M. P. Allen and D. J. Tildesley "Computer Simulation of Liquids", Oxford University Press (1989)].
[[category: statistical mechanics]]