Maxwell speed distribution: Difference between revisions

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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>.
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===
===Conjecture===
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As a consequence of the former theorems, and by simulation of many examples,  the following conjecture can be stated:
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>.  
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===
===Conclusion===

Revision as of 17:26, 20 July 2011

The Maxwellian velocity distribution [1] provides probability that the speed of a molecule of mass m lies in the range v to v+dv is given by

P(v)dv=4πv2dv(m2πkBT)3/2exp(−mv2/2kBT)

where T is the temperature and kB is the Boltzmann constant. The maximum of this distribution is located at

vmax=2kBTm

The mean speed is given by

v¯=2πvmax

and the root-mean-square speed by

v2¯=32vmax


Derivation

According to the Shivanian and Lopez-Ruiz model [2], consider an ideal gas composed particles having a mass of unity in the three-dimensional (3D) 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 U. We can complete a Cartesian system with two additional orthogonal axis V,W. If pn(u)du represents the probability of finding a particle of the gas with velocity component in the direction U comprised between u and u+du at time n, then the probability to have at this time n a particle with a 3D velocity (u,v,w) will be pn(u)pn(v)pn(w). 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 n+1. 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 x in the direction U at time n+1: (1) Only those particles with an energy greater than x2 at time n can contribute to this velocity x in the direction U, that is, all those particles whose velocities (u,v,w) verify u2+v2+w2≥x2; (2) The new velocities after collisions are equally distributed in their permitted ranges, that is, particles with velocity (u,v,w) can generate maximal velocities ±Umax=±u2+v2+w2, then the allowed range of velocities [−Umax,Umax] measures 2|Umax|, and the contributing probability of these particles to the velocity x will be pn(u)pn(v)pn(w)/(2|Umax|). Taking all together we finally get the expression for the evolution operator T. This is:


pn+1(x)=Tpn(x)=∭u2+v2+w2≥x2pn(u)pn(v)pn(w)2u2+v2+w2dudvdw.

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 T 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


limn→∞Tn(p0(x))→pf(x)=MVD(1Dcase).


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

||p||=∫−∞+∞p(x)dx.

Then we have the following exact results:

Theorem 1

For any p with ||p||=1, we have ||Tp||=||p||.

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 pn=Tnp0 is conserved in time. In fact, it is null for all n:

⟨x,Tp⟩=⟨x,T2p⟩=⟨x,T3p⟩=⋯=⟨x,Tnp⟩=⋯=0,

where

⟨f,g⟩=∫−∞+∞f(x)g(x)dx.

It means that the zero total momentum of the gas is conserved in its time evolution under the action of T.

Theorem 3

For every p with ||p||=1, we have

⟨x2,p⟩=⟨x2,Tp⟩=⟨x2,T2p⟩=⟨x2,T3p⟩=⋯=⟨x2,Tnp⟩=⋯.

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 pα(x)=απe−αx2, α≥0, ||pα||=1, are fixed points of the operator T. In other words, Tpα=pα.

Theorem 5

For distributions p with ||p||=1, suppose that limn→∞||Tnp(x)−μ(x)||=0, and μ(x) is a normalized continuous distribution, then μ(x) is a fixed point of the operator T.

Conjecture

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

For any p with ||p||=1, with finite ⟨x2,p⟩ and verifying limn→∞||Tnp(x)−μ(x)||=0, the limit μ(x) is the fixed point pα(x)=απe−αx2, with α=(2⟨x2,p⟩)−1. That is, the asymptotic steady state is the gaussian distribution with the same mean energy than the initial out-of-equilibrium state p.

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 ⟨x2,p⟩=kBT, with kB the Boltzmann constant and T the temperature of the gas, and introducing the mass m of the particles, let us observe that the MVD (above presented) is recovered in its 3D format:

MVD=pα(u)pα(v)pα(w)=(mαπ)32exp−mα(u2+v2+w2)withα=(2kBT)−1.

Moreover, an increase in the entropy is found during all the decay process. This gives rise to the celebrated H-theorem [3].

References

Related reading

External resources