Kinetic theory of gases explained

The kinetic theory of gases is a simple classical model of the thermodynamic behavior of gases. It treats a gas as composed of numerous particles, too small to see with a microscope, which are constantly in random motion. Their collisions with each other and with the walls of their container are used to explain physical properties of the gas—for example, the relationship between its temperature, pressure, and volume. The particles are now known to be the atoms or molecules of the gas.

The basic version of the model describes an ideal gas. It treats the collisions as perfectly elastic and as the only interaction between the particles, which are additionally assumed to be much smaller than their average distance apart.

The theory's introduction allowed many principal concepts of thermodynamics to be established. It explains the macroscopic properties of gases, such as volume, pressure, and temperature, as well as transport properties such as viscosity, thermal conductivity and mass diffusivity. Due to the time reversibility of microscopic dynamics (microscopic reversibility), the kinetic theory is also connected to the principle of detailed balance, in terms of the fluctuation-dissipation theorem (for Brownian motion) and the Onsager reciprocal relations.

The theory was historically significant as the first explicit exercise of the ideas of statistical mechanics.

History

In about 50 BCE, the Roman philosopher Lucretius proposed that apparently static macroscopic bodies were composed on a small scale of rapidly moving atoms all bouncing off each other.^[1] This Epicurean atomistic point of view was rarely considered in the subsequent centuries, when Aristotlean ideas were dominant.

In 1738 Daniel Bernoulli published Hydrodynamica, which laid the basis for the kinetic theory of gases. In this work, Bernoulli posited the argument, that gases consist of great numbers of molecules moving in all directions, that their impact on a surface causes the pressure of the gas, and that their average kinetic energy determines the temperature of the gas. The theory was not immediately accepted, in part because conservation of energy had not yet been established, and it was not obvious to physicists how the collisions between molecules could be perfectly elastic.^[2]

Other pioneers of the kinetic theory, whose work was also largely neglected by their contemporaries, were Mikhail Lomonosov (1747),^[3] Georges-Louis Le Sage (ca. 1780, published 1818),^[4] John Herapath (1816)^[5] and John James Waterston (1843),^[6] which connected their research with the development of mechanical explanations of gravitation.

In 1856 August Krönig created a simple gas-kinetic model, which only considered the translational motion of the particles.^[7] In 1857 Rudolf Clausius developed a similar, but more sophisticated version of the theory, which included translational and, contrary to Krönig, also rotational and vibrational molecular motions. In this same work he introduced the concept of mean free path of a particle.^[8] In 1859, after reading a paper about the diffusion of molecules by Clausius, Scottish physicist James Clerk Maxwell formulated the Maxwell distribution of molecular velocities, which gave the proportion of molecules having a certain velocity in a specific range.^[9] This was the first-ever statistical law in physics.^[10] Maxwell also gave the first mechanical argument that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium.^[11] In his 1873 thirteen page article 'Molecules', Maxwell states: "we are told that an 'atom' is a material point, invested and surrounded by 'potential forces' and that when 'flying molecules' strike against a solid body in constant succession it causes what is called pressure of air and other gases."^[12] In 1871, Ludwig Boltzmann generalized Maxwell's achievement and formulated the Maxwell–Boltzmann distribution. The logarithmic connection between entropy and probability was also first stated by Boltzmann.

At the beginning of the 20th century, atoms were considered by many physicists to be purely hypothetical constructs, rather than real objects. An important turning point was Albert Einstein's (1905)^[13] and Marian Smoluchowski's (1906)^[14] papers on Brownian motion, which succeeded in making certain accurate quantitative predictions based on the kinetic theory.

Following the development of the Boltzmann equation, a framework for its use in developing transport equations was developed independently by David Enskog and Sydney Chapman in 1917 and 1916. The framework provided a route to prediction of the transport properties of dilute gases, and became known as Chapman–Enskog theory. The framework was gradually expanded throughout the following century, eventually becoming a route to prediction of transport properties in real, dense gases.

Assumptions

The application of kinetic theory to ideal gases makes the following assumptions:

• The gas consists of very small particles. This smallness of their size is such that the sum of the volume of the individual gas molecules is negligible compared to the volume of the container of the gas. This is equivalent to stating that the average distance separating the gas particles is large compared to their size, and that the elapsed time during a collision between particles and the container's wall is negligible when compared to the time between successive collisions.
• The number of particles is so large that a statistical treatment of the problem is well justified. This assumption is sometimes referred to as the thermodynamic limit.
• The rapidly moving particles constantly collide among themselves and with the walls of the container, and all these collisions are perfectly elastic.
• Interactions (i.e. collisions) between particles are strictly binary and uncorrelated, meaning that there are no three-body (or higher) interactions, and the particles have no memory.
• Except during collisions, the interactions among molecules are negligible. They exert no other forces on one another.

Thus, the dynamics of particle motion can be treated classically, and the equations of motion are time-reversible.

As a simplifying assumption, the particles are usually assumed to have the same mass as one another; however, the theory can be generalized to a mass distribution, with each mass type contributing to the gas properties independently of one another in agreement with Dalton's Law of partial pressures. Many of the model's predictions are the same whether or not collisions between particles are included, so they are often neglected as a simplifying assumption in derivations (see below).^[15]

More modern developments, such as Revised Enskog Theory and the Extended BGK model,^[16] relax one or more of the above assumptions. These can accurately describe the properties of dense gases, and gases with internal degrees of freedom, because they include the volume of the particles as well as contributions from intermolecular and intramolecular forces as well as quantized molecular rotations, quantum rotational-vibrational symmetry effects, and electronic excitation.^[17] While theories relaxing the assumptions that the gas particles occupy negligible volume and that collisions are strictly elastic have been successful, it has been shown that relaxing the requirement of interactions being binary and uncorrelated will eventually lead to divergent results.^[18]

Equilibrium properties

Pressure and kinetic energy

In the kinetic theory of gases, the pressure is assumed to be equal to the force (per unit area) exerted by the individual gas atoms or molecules hitting and rebounding from the gas container's surface.

Consider a gas particle traveling at velocity, $v\_i$, along the

\hat{i} -direction in an enclosed volume with characteristic length, L _{i} , cross-sectional area, A _{i} , and volume, V = A _{i} L _{i} . The gas particle encounters a boundary after characteristic time

$$t\; =\; L\_i\; /\; v\_i.$$

The momentum of the gas particle can then be described as

$$p\_i\; =\; m\; v\_i\; =\; m\; L\_i\; /\; t\; .$$

We combine the above with Newton's second law, which states that the force experienced by a particle is related to the time rate of change of its momentum, such that

$$F\_i\; =\; \backslash frac\; =\; \backslash frac=\backslash frac.$$

Now consider a large number, N, of gas particles with random orientation in a three-dimensional volume. Because the orientation is random, the average particle speed, $v$, in every direction is identical

$$v^2\; =\; =\; =\; .$$

Further, assume that the volume is symmetrical about its three dimensions,

\hat{i}, \hat{j}, \hat{k} , such that

$$v\; =\; v\_i=v\_j=v\_k,$$$$F\; =\; F\_i\; =\; F\_j\; =\; F\_k,$$$$A\_i=A\_j=A\_k.$$The total surface area on which the gas particles act is therefore $$A\; =\; 3\; *\; A\_i.$$

The pressure exerted by the collisions of the N gas particles with the surface can then be found by adding the force contribution of every particle and dividing by the interior surface area of the volume,

$$P\; =\; \backslash frac=\backslash frac$$$$\backslash Rightarrow\; PV=NLF\; =\; \backslash frac\; m\; v^2.$$

K _{t} of the gas is defined as$$K\_t\; =\; \backslash frac\; m\; v^2,$$providing the result$$PV\; =\; \backslash frac\; K\_t\; .$$

This is an important, non-trivial result of the kinetic theory because it relates pressure, a macroscopic property, to the translational kinetic energy of the molecules, which is a microscopic property.

Temperature and kinetic energy

Rewriting the above result for the pressure as $PV\; =\; \backslash frac$, we may combine it with the ideal gas law

where

k _{B} is the Boltzmann constant and T the absolute temperature defined by the ideal gas law, to obtain

$$k\_\backslash mathrm\; T\; =,$$which leads to a simplified expression of the average translational kinetic energy per molecule,^[19] $$\backslash frac\; m\; v^2\; =\; \backslash frac\; k\_\backslash mathrm\; T.$$The translational kinetic energy of the system is

N times that of a molecule, namely $K\_t\; =\; \backslash frac\; N\; m\; v^2$. The temperature, T is related to the translational kinetic energy by the description above, resulting in

which becomes

Equation is one important result of the kinetic theory:The average molecular kinetic energy is proportional to the ideal gas law's absolute temperature.From equations and, we haveThus, the product of pressure and volume per mole is proportional to the averagetranslational molecular kinetic energy.

Equations and are called the "classical results", which could also be derived from statistical mechanics;for more details, see:^[20]

The equipartition theorem requires that kinetic energy is partitioned equally between all kinetic degrees of freedom, D. A monotatomic gas is axially symmetric about each spatial axis, so that D = 3 comprising translational motion along each axis. A diatomic gas is axially symmetric about only one axis, so that D = 5, comprising translational motion along three axes and rotational motion along two axes. A polyatomic gas, like water, is not radially symmetric about any axis, resulting in D = 6, comprising 3 translational and 3 rotational degrees of freedom.

Because the equipartition theorem requires that kinetic energy is partitioned equally, the total kinetic energy is

$$K\; =D\; K\_t\; =\; \backslash frac\; N\; m\; v^2.$$

Thus, the energy added to the system per gas particle kinetic degree of freedom is

$$\backslash frac\; =\; \backslash frac\; k\_B\; T\; .$$

Therefore, the kinetic energy per kelvin of one mole of monatomic ideal gas (D = 3) is

$$K\; =\; \backslash frac\; k\_B\; N\_A\; T\; =\; \backslash frac\; R,$$

where

N _{A} is the Avogadro constant, and R is the ideal gas constant.

Thus, the kinetic energy per unit kelvin of an ideal monoatomic gas can be calculated easily:

• per mole: 12.47 J / K
• per molecule: 20.7 yJ / K = 129 μeV / K

At standard temperature (273.15 K), the kinetic energy can also be obtained:

• per mole: 3406 J
• per molecule: 5.65 zJ = 35.2 meV.

At higher temperatures (typically thousands of kelvins), vibrational modes become active to provide additional degrees of freedom, creating a temperature-dependence on D and the total molecular energy. Quantum statistical mechanics is needed to accurately compute these contributions.^[21]

Collisions with container wall

For an ideal gas in equilibrium, the rate of collisions with the container wall and velocity distribution of particles hitting the container wall can be calculated^[22] based on naive kinetic theory, and the results can be used for analyzing effusive flow rates, which is useful in applications such as the gaseous diffusion method for isotope separation.

Assume that in the container, the number density (number per unit volume) is

n = N/V and that the particles obey Maxwell's velocity distribution:$$f\_\backslash text(v\_x,v\_y,v\_z)\; \backslash ,\; dv\_x\; \backslash ,\; dv\_y\; \backslash ,\; dv\_z\; =\; \backslash left(\backslash frac\backslash right)^\; e^\; \backslash ,\; dv\_x\; \backslash ,\; dv\_y\; \backslash ,\; dv\_z$$

Then for a small area

dA on the container wall, a particle with speed v at angle \theta from the normal of the area dA , will collide with the area within time interval dt , if it is within the distance vdt from the area dA . Therefore, all the particles with speed v at angle \theta from the normal that can reach area dA within time interval dt are contained in the tilted pipe with a height of v\cos (\theta) dt and a volume of v\cos (\theta) dAdt .

The total number of particles that reach area

dA within time interval dt also depends on the velocity distribution; All in all, it calculates to be:$$n\; v\; \backslash cos(\backslash theta)\; \backslash ,\; dA\backslash ,\; dt\; \backslash times\backslash left(\backslash frac\backslash right)^\; e^\; \backslash left(v^2\; \backslash sin(\backslash theta)\; \backslash ,\; dv\; \backslash ,\; d\backslash theta\; \backslash ,\; d\backslash phi\; \backslash right).$$

Integrating this over all appropriate velocities within the constraint

v> 0 , 0 <\theta<\pi/ 2 , 0 <\phi< 2 \pi yields the number of atomic or molecular collisions with a wall of a container per unit area per unit time:$$J\_\backslash text\; =\backslash frac\backslash times\; n\; \backslash bar\; v=\; \backslash fracn\; \backslash bar\; v\; =\; \backslash frac\; \backslash sqrt.$$

This quantity is also known as the "impingement rate" in vacuum physics. Note that to calculate the average speed

\bar v of the Maxwell's velocity distribution, one has to integrate overv> 0 , 0 <\theta<\pi, 0 <\phi< 2 \pi .

The momentum transfer to the container wall from particles hitting the area

dA with speed v at angle \theta from the normal, in time interval dt is:$$[2mv\; \backslash cos(\backslash theta)]\backslash times\; n\; v\; \backslash cos(\backslash theta)\; \backslash ,\; dA\backslash ,\; dt\; \backslash times\backslash left(\backslash frac\backslash right)^\; e^\; \backslash left(v^2\; \backslash sin(\backslash theta)\; \backslash ,\; dv\; \backslash ,\; d\backslash theta\; \backslash ,\; d\backslash phi\; \backslash right).$$Integrating this over all appropriate velocities within the constraint v> 0 , 0 <\theta<\pi/ 2 , 0 <\phi< 2 \pi yields the pressure (consistent with Ideal gas law):$$P=\backslash frac\backslash times\; n\; mv\_\backslash text^2=\backslash fracn\; mv\_\backslash text^2=\backslash fracn\backslash langle\; E\_\backslash rangle=nk\_\backslash mathrm\; T$$If this small area A is punched to become a small hole, the effusive flow rate will be: $$\backslash Phi\_\backslash text\; =\; J\_\backslash text\; A=\; n\; A\; \backslash sqrt.$$

Combined with the ideal gas law, this yields$$\backslash Phi\_\backslash text\; =\; \backslash frac.$$

The above expression is consistent with Graham's law.

To calculate the velocity distribution of particles hitting this small area, we must take into account that all the particles with

(v,\theta,\phi) that hit the area dA within the time interval dt are contained in the tilted pipe with a height of v\cos (\theta) dt and a volume of v\cos (\theta) dAdt ; Therefore, compared to the Maxwell distribution, the velocity distribution will have an extra factor of v\cos \theta :with the constraint . The constant λ can be determined by the normalization condition \int f(v,\theta,\phi) dv d\theta d\phi =1 to be $/$, and overall:

Speed of molecules

From the kinetic energy formula it can be shown that$$v\_\backslash text\; =\; \backslash sqrt,$$$$\backslash bar\; v\; =\; \backslash frac\; v\_p\; =\; \backslash sqrt,$$$$v\_\backslash text\; =\; \backslash sqrt\; v\_p\; =\; \backslash sqrt,$$where v is in m/s, T is in kelvin, and m is the mass of one molecule of gas in kg. The most probable (or mode) speed

v _{p} is 81.6% of the root-mean-square speed v _{rms} , and the mean (arithmetic mean, or average) speed \bar v is 92.1% of the rms speed (isotropic distribution of speeds).

See:

• Average,
• Root-mean-square speed
• Arithmetic mean
• Mean
• Mode (statistics)

Mean free path

See main article: Mean free path. In kinetic theory of gases, the mean free path is the average distance traveled by a molecule, or a number of molecules per volume, before they make their first collision. Let

\sigma be the collision cross section of one molecule colliding with another. As in the previous section, the number density n is defined as the number of molecules per (extensive) volume, or n = N/V . The collision cross section per volume or collision cross section density is n \sigma , and it is related to the mean free path l by$$l\; =\; \backslash frac$$

Notice that the unit of the collision cross section per volume

n \sigma is reciprocal of length.

Transport properties

See also: Transport phenomena.

The kinetic theory of gases deals not only with gases in thermodynamic equilibrium, but also very importantly with gases not in thermodynamic equilibrium. This means using Kinetic Theory to consider what are known as "transport properties", such as viscosity, thermal conductivity, mass diffusivity and thermal diffusion.

In its most basic form, Kinetic gas theory is only applicable to dilute gases. The extension of Kinetic gas theory to dense gas mixtures, Revised Enskog Theory, was developed in 1983-1987 by E. G. D. Cohen, J. M. Kincaid and M. Lòpez de Haro,^{[23] [24] [25] [26]} building on work by H. van Beijeren and M. H. Ernst.^[27]

Viscosity and kinetic momentum

In books on elementary kinetic theory^[28] one can find results for dilute gas modeling that are used in many fields. Derivation of the kinetic model for shear viscosity usually starts by considering a Couette flow where two parallel plates are separated by a gas layer. The upper plate is moving at a constant velocity to the right due to a force F. The lower plate is stationary, and an equal and opposite force must therefore be acting on it to keep it at rest. The molecules in the gas layer have a forward velocity component

u which increase uniformly with distance y above the lower plate. The non-equilibrium flow is superimposed on a Maxwell-Boltzmann equilibrium distribution of molecular motions.

Inside a dilute gas in a Couette flow setup, let

u _{0} be the forward velocity of the gas at a horizontal flat layer (labeled as y =0 ); u _{0} is along the horizontal direction. The number of molecules arriving at the area dA on one side of the gas layer, with speed v at angle \theta from the normal, in time interval dt is $$nv\backslash cos\backslash ,\; dA\; \backslash ,\; dt\; \backslash times\; \backslash left(\backslash frac\backslash right)^\; \backslash ,\; e^\; (v^2\backslash sin\; \backslash ,\; dv\; \backslash ,\; d\backslash theta\; \backslash ,\; d\backslash phi)$$

These molecules made their last collision at

y = \pm l\cos \theta , where l is the mean free path. Each molecule will contribute a forward momentum of$$p\_^\; =\; m\; \backslash left(u\_\; \backslash pm\; l\; \backslash cos\; \backslash theta\; \backslash ,\; \backslash right),$$where plus sign applies to molecules from above, and minus sign below. Note that the forward velocity gradient du/dy can be considered to be constant over a distance of mean free path.

Integrating over all appropriate velocities within the constraint yields the forward momentum transfer per unit time per unit area (also known as shear stress):$$\backslash tau^\; =\; \backslash frac\; \backslash bar\; v\; n\; \backslash cdot\; m\; \backslash left(u\_\; \backslash pm\; \backslash frac\; l\; \backslash ,\; \backslash right)$$

The net rate of momentum per unit area that is transported across the imaginary surface is thus$$\backslash tau\; =\; \backslash tau^\; -\; \backslash tau^\; =\; \backslash frac\; \backslash bar\; v\; n\; m\; \backslash cdot\; l\; \backslash ,$$

Combining the above kinetic equation with Newton's law of viscosity$$\backslash tau\; =\; \backslash eta\; \backslash ,$$gives the equation for shear viscosity, which is usually denoted

η _{0} when it is a dilute gas:$$\backslash eta\_\; =\; \backslash frac\; \backslash bar\; v\; n\; m\; l$$

Combining this equation with the equation for mean free path gives$$\backslash eta\_\; =\; \backslash frac\; \backslash frac$$

Maxwell-Boltzmann distribution gives the average (equilibrium) molecular speed as$$\backslash bar\; v\; =\; \backslash frac\; v\_\; =\; 2\; \backslash sqrt$$where

v _{p} is the most probable speed. We note that$$k\_\; \backslash cdot\; N\_\; =\; R\; \backslash quad\; \backslash text\; \backslash quad\; M\; =\; m\; \backslash cdot\; N\_$$

and insert the velocity in the viscosity equation above. This gives the well known equation ^[29] (with

\sigma subsequently estimated below) for shear viscosity for dilute gases:

$$\backslash eta\_=\; \backslash frac\; \backslash cdot\; \backslash frac\; =\; \backslash frac\; \backslash cdot\; \backslash frac$$

and

M is the molar mass. The equation above presupposes that the gas density is low (i.e. the pressure is low). This implies that the transport of momentum through the gas due to the translational motion of molecules is much larger than the transport due to momentum being transferred between molecules during collisions. The transfer of momentum between molecules is explicitly accounted for in Revised Enskog theory, which relaxes the requirement of a gas being dilute. The viscosity equation further presupposes that there is only one type of gas molecules, and that the gas molecules are perfect elastic and hard core particles of spherical shape. This assumption of elastic, hard core spherical molecules, like billiard balls, implies that the collision cross section of one molecule can be estimated by

$$\backslash sigma\; =\; \backslash pi\; \backslash left(2\; r\; \backslash right)^2\; =\; \backslash pi\; d^2$$

The radius

r is called collision cross section radius or kinetic radius, and the diameter d is called collision cross section diameter or kinetic diameter of a molecule in a monomolecular gas. There are no simple general relation between the collision cross section and the hard core size of the (fairly spherical) molecule. The relation depends on shape of the potential energy of the molecule. For a real spherical molecule (i.e. a noble gas atom or a reasonably spherical molecule) the interaction potential is more like the Lennard-Jones potential or Morse potential which have a negative part that attracts the other molecule from distances longer than the hard core radius. The radius for zero Lennard-Jones potential may then be used as a rough estimate for the kinetic radius. However, using this estimate will typically lead to an erroneous temperature dependency of the viscosity. For such interaction potentials, significantly more accurate results are obtained by numerical evaluation of the required collision integrals.

The expression for viscosity obtained from Revised Enskog Theory reduces to the above expression in the limit of infinite dilution, and can be written as

$$\backslash eta\; =\; (1\; +\; \backslash alpha\_\backslash eta)\backslash eta\_0\; +\; \backslash eta\_c$$

where

\alpha _{η} is a term that tends to zero in the limit of infinite dilution that accounts for excluded volume, and η _{c} is a term accounting for the transfer of momentum over a non-zero distance between particles during a collision.

Thermal conductivity and heat flux

See also: Thermal conductivity. Following a similar logic as above, one can derive the kinetic model for thermal conductivity of a dilute gas:

Consider two parallel plates separated by a gas layer. Both plates have uniform temperatures, and are so massive compared to the gas layer that they can be treated as thermal reservoirs. The upper plate has a higher temperature than the lower plate. The molecules in the gas layer have a molecular kinetic energy

\varepsilon which increases uniformly with distance y above the lower plate. The non-equilibrium energy flow is superimposed on a Maxwell-Boltzmann equilibrium distribution of molecular motions.

Let

\varepsilon _{0} be the molecular kinetic energy of the gas at an imaginary horizontal surface inside the gas layer. The number of molecules arriving at an area dA on one side of the gas layer, with speed v at angle \theta from the normal, in time interval dt is $$nv\; \backslash cos(\backslash theta)\backslash ,\; dA\; \backslash ,\; dt\; \backslash times\; \backslash left(\backslash frac\backslash right)^\; e^\; (v^2\; \backslash sin(\backslash theta)\; \backslash ,\; dv\; \backslash ,\; d\backslash theta\; \backslash ,\; d\backslash phi)$$

These molecules made their last collision at a distance

l\cos \theta above and below the gas layer, and each will contribute a molecular kinetic energy of$$\backslash varepsilon^\; =\; \backslash left(\backslash varepsilon\_\; \backslash pm\; m\; c\_v\; l\; \backslash cos\; \backslash theta\; \backslash ,\; \backslash right),$$where c _{v} is the specific heat capacity. Again, plus sign applies to molecules from above, and minus sign below. Note that the temperature gradient dT/dy can be considered to be constant over a distance of mean free path.

Integrating over all appropriate velocities within the constraint

yields the energy transfer per unit time per unit area (also known as heat flux):$$q\_y^\; =\; -\backslash frac\; \backslash bar\; v\; n\; \backslash cdot\; \backslash left(\backslash varepsilon\_\; \backslash pm\; \backslash frac\; m\; c\_v\; l\; \backslash ,\; \backslash right)$$

Note that the energy transfer from above is in the

- y direction, and therefore the overall minus sign in the equation. The net heat flux across the imaginary surface is thus$$q\; =\; q\_y^\; -\; q\_y^\; =\; -\backslash frac\; \backslash bar\; v\; n\; m\; c\_v\; l\; \backslash ,$$

Combining the above kinetic equation with Fourier's law$$q\; =\; -\backslash kappa\; \backslash ,$$gives the equation for thermal conductivity, which is usually denoted

\kappa _{0} when it is a dilute gas:$$\backslash kappa\_\; =\; \backslash frac\; \backslash bar\; v\; n\; m\; c\_v\; l$$

Similarly to viscosity, Revised Enskog Theory yields an expression for thermal conductivity that reduces to the above expression in the limit of infinite dilution, and which can be written as $$\backslash kappa\; =\; \backslash alpha\_\backslash kappa\; \backslash kappa\_0\; +\; \backslash kappa\_c$$

where

\alpha _{\kappa} is a term that tends to unity in the limit of infinite dilution, accounting for excluded volume, and \kappa _{c} is a term accounting for the transfer of energy across a non-zero distance between particles during a collision.

Diffusion Coefficient and diffusion flux

See also: Fick's laws of diffusion. Following a similar logic as above, one can derive the kinetic model for mass diffusivity of a dilute gas:

Consider a steady diffusion between two regions of the same gas with perfectly flat and parallel boundaries separated by a layer of the same gas. Both regions have uniform number densities, but the upper region has a higher number density than the lower region. In the steady state, the number density at any point is constant (that is, independent of time). However, the number density

n in the layer increases uniformly with distance y above the lower plate. The non-equilibrium molecular flow is superimposed on a Maxwell-Boltzmann equilibrium distribution of molecular motions.

Let

n _{0} be the number density of the gas at an imaginary horizontal surface inside the layer. The number of molecules arriving at an area dA on one side of the gas layer, with speed v at angle \theta from the normal, in time interval dt is $$nv\backslash cos(\backslash theta)\; \backslash ,\; dA\; \backslash ,\; dt\; \backslash times\; \backslash left(\backslash frac\backslash right)^\; e^\; (v^2\backslash sin(\backslash theta)\; \backslash ,\; dv\backslash ,\; d\backslash theta\; \backslash ,\; d\backslash phi)$$

These molecules made their last collision at a distance

l\cos \theta above and below the gas layer, where the local number density is$$n^\; =\; \backslash left(n\_\; \backslash pm\; l\; \backslash cos\; \backslash theta\; \backslash ,\; \backslash right)$$

Again, plus sign applies to molecules from above, and minus sign below. Note that the number density gradient

dn/dy can be considered to be constant over a distance of mean free path.

Integrating over all appropriate velocities within the constraint

yields the molecular transfer per unit time per unit area (also known as diffusion flux):$$J\_y^\; =\; -\backslash frac\; \backslash bar\; v\; \backslash cdot\; \backslash left(n\_\; \backslash pm\; \backslash frac\; l\; \backslash ,\; \backslash right)$$

Note that the molecular transfer from above is in the

- y direction, and therefore the overall minus sign in the equation. The net diffusion flux across the imaginary surface is thus$$J\; =\; J\_y^\; -\; J\_y^\; =\; -\backslash frac\; \backslash bar\; v\; l$$

Combining the above kinetic equation with Fick's first law of diffusion$$J\; =\; -D$$gives the equation for mass diffusivity, which is usually denoted

D _{0} when it is a dilute gas:$$D\_\; =\; \backslash frac\; \backslash bar\; v\; l$$

The corresponding expression obtained from Revised Enskog Theory may be written as$$D\; =\; \backslash alpha\_D\; D\_0$$where

\alpha _{D} is a factor that tends to unity in the limit of infinite dilution, which accounts for excluded volume and the variation chemical potentials with density.

Detailed balance

Fluctuation and dissipation

See main article: Fluctuation-dissipation theorem. The kinetic theory of gases entails that due to the microscopic reversibility of the gas particles' detailed dynamics, the system must obey the principle of detailed balance. Specifically, the fluctuation-dissipation theorem applies to the Brownian motion (or diffusion) and the drag force, which leads to the Einstein–Smoluchowski equation:^[30] $$D\; =\; \backslash mu\; \backslash ,\; k\_\backslash text\; T,$$where

• is the mass diffusivity;
• is the "mobility", or the ratio of the particle's terminal drift velocity to an applied force, ;
• is the Boltzmann constant;
• is the absolute temperature.

Note that the mobility can be calculated based on the viscosity of the gas; Therefore, the Einstein–Smoluchowski equation also provides a relation between the mass diffusivity and the viscosity of the gas.

Onsager reciprocal relations

See main article: Onsager reciprocal relations. The mathematical similarities between the expressions for shear viscocity, thermal conductivity and diffusion coefficient of the ideal (dilute) gas is not a coincidence; It is a direct result of the Onsager reciprocal relations (i.e. the detailed balance of the reversible dynamics of the particles), when applied to the convection (matter flow due to temperature gradient, and heat flow due to pressure gradient) and advection (matter flow due to the velocity of particles, and momentum transfer due to pressure gradient) of the ideal (dilute) gas.

See also

• Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy of equations
• Boltzmann equation
• Chapman–Enskog theory
• Collision theory
• Critical temperature
• Gas laws
• Heat
• Interatomic potential
• Magnetohydrodynamics
• Maxwell–Boltzmann distribution
• Mixmaster universe
• Thermodynamics
• Vicsek model
• Vlasov equation

References

• • de Groot, S. R., W. A. van Leeuwen and Ch. G. van Weert (1980), Relativistic Kinetic Theory, North-Holland, Amsterdam.
    • • • • • Liboff, R. L. (1990), Kinetic Theory, Prentice-Hall, Englewood Cliffs, N. J.
        • (reprinted in his Papers, 3, 167, 183.)
• Book: Williams, M. M. R.. 1971. Mathematical Methods in Particle Transport Theory. Butterworths, London. 9780408700696. registration.

Further reading

• Sydney Chapman and Thomas George Cowling (1939/1970), The Mathematical Theory of Non-uniform Gases: An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases, (first edition 1939, second edition 1952), third edition 1970 prepared in co-operation with D. Burnett, Cambridge University Press, London
• Joseph Oakland Hirschfelder, Charles Francis Curtiss, and Robert Byron Bird (1964), Molecular Theory of Gases and Liquids, revised edition (Wiley-Interscience), ISBN 978-0471400653
• Richard Lawrence Liboff (2003), Kinetic Theory: Classical, Quantum, and Relativistic Descriptions, third edition (Springer), ISBN 978-0-387-21775-8
• Behnam Rahimi and Henning Struchtrup (2016), "Macroscopic and kinetic modelling of rarefied polyatomic gases", Journal of Fluid Mechanics, 806, 437–505, DOI 10.1017/jfm.2016.604

External links

• PHYSICAL CHEMISTRY – Gases
• Early Theories of Gases
• Thermodynamics - a chapter from an online textbook
• Temperature and Pressure of an Ideal Gas: The Equation of State on Project PHYSNET.
• Introduction to the kinetic molecular theory of gases, from The Upper Canada District School Board
• Java animation illustrating the kinetic theory from University of Arkansas
• Flowchart linking together kinetic theory concepts, from HyperPhysics
• Interactive Java Applets allowing high school students to experiment and discover how various factors affect rates of chemical reactions.
• https://www.youtube.com/watch?v=47bF13o8pb8&list=UUXrJjdDeqLgGjJbP1sMnH8A A demonstration apparatus for the thermal agitation in gases.

Notes and References

1. Maxwell. J. C.. 1867. On the Dynamical Theory of Gases. Philosophical Transactions of the Royal Society of London. 157. 49–88. 10.1098/rstl.1867.0004. 96568430.
2. Book: The Quantum Dice. L.I Ponomarev. I.V Kurchatov. 1 January 1993. CRC Press. 978-0-7503-0251-7.
3. Lomonosov 1758
4. Le Sage 1780/1818
5. Herapath 1816, 1821
6. Waterston 1843
7. Krönig 1856
8. Clausius 1857
9. See:
   • Maxwell, J.C. (1860) "Illustrations of the dynamical theory of gases. Part I. On the motions and collisions of perfectly elastic spheres," Philosophical Magazine, 4th series, 19 : 19–32.
   • Maxwell, J.C. (1860) "Illustrations of the dynamical theory of gases. Part II. On the process of diffusion of two or more kinds of moving particles among one another," Philosophical Magazine, 4th series, 20 : 21–37.
10. Book: The Man Who Changed Everything – the Life of James Clerk Maxwell. Mahon, Basil. Wiley. 2003. 0-470-86171-1. Hoboken, NJ. 52358254.
11. Gyenis. Balazs. 2017. Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium. Studies in History and Philosophy of Modern Physics. 57. 53–65. 1702.01411. 2017SHPMP..57...53G. 10.1016/j.shpsb.2017.01.001. 38272381.
12. Maxwell 1873
13. Einstein 1905
14. Smoluchowski 1906
15. Book: Chang . Raymond . Thoman . John W. Jr. . Physical Chemistry for the Chemical Sciences . 2014 . University Science Books . New York, NY . 37.
16. van Enk . Steven J. . Steven J. van Enk . Nienhuis . Gerard . 1991-12-01 . Inelastic collisions and gas-kinetic effects of light . Physical Review A . 44 . 11 . 7615–7625 . 10.1103/PhysRevA.44.7615.
17. Book: McQuarrie . Donald A. . Statistical Mechanics . 1976 . University Science Press . New York, NY.
18. Cohen . E. G. D. . 1993-03-15 . Fifty years of kinetic theory . Physica A: Statistical Mechanics and its Applications . 194 . 1 . 229–257 . 10.1016/0378-4371(93)90357-A . 0378-4371.
19. The average kinetic energy of a fluid is proportional to the root mean-square velocity, which always exceeds the mean velocity - Kinetic Molecular Theory
20. http://clesm.mae.ufl.edu/wiki.pub/index.php/Configuration_integral_%28statistical_mechanics%29 Configuration integral (statistical mechanics)
21. Book: Chang . Raymond . Thoman . John W. Jr. . Physical Chemistry for the Chemical Sciences . 2014 . University Science Books . New York . 56–61.
22. Web site: 5.62 Physical Chemistry II . MIT OpenCourseWare.
23. Lòpez de Haro . M. . Cohen . E. G. D. . Kincaid . J. M. . The Enskog theory for multicomponent mixtures. I. Linear transport theory . The Journal of Chemical Physics . 1983 . 78 . 5 . 2746–2759 . 10.1063/1.444985 . 1983JChPh..78.2746L .
24. Kincaid . J. M. . Lòpez de Haro . M. . Cohen . E. G. D. . The Enskog theory for multicomponent mixtures. II. Mutual diffusion . The Journal of Chemical Physics . 1983 . 79 . 9 . 4509–4521 . 10.1063/1.446388 .
25. Lòpez de Haro . M. . Cohen . E. G. D. . The Enskog theory for multicomponent mixtures. III. Transport properties of dense binary mixtures with one tracer component . The Journal of Chemical Physics . 1984 . 80 . 1 . 408–415 . 10.1063/1.446463 . 1984JChPh..80..408L .
26. Kincaid . J. M. . Cohen . E. G. D. . Lòpez de Haro . M. . The Enskog theory for multicomponent mixtures. IV. Thermal diffusion . The Journal of Chemical Physics . 1987 . 86 . 2 . 963–975 . 10.1063/1.452243 . 1987JChPh..86..963K .
27. van Beijeren . H. . Ernst . M. H. . The non-linear Enskog-Boltzmann equation . Physics Letters A . 1973 . 43 . 4 . 367–368 . 10.1016/0375-9601(73)90346-0 . 1973PhLA...43..367V . 1874/36979 . free .
28. Book: Sears. F.W.. Salinger. G.L.. 1975. Thermodynamics, Kinetic Theory, and Statistical Thermodynamics. Addison-Wesley Publishing Company, Inc.. Reading, Massachusetts, USA . 3. 10. 286–291. 978-0201068948.
29. Proc Natl Acad Sci U S A . Hildebrand . J.H.. 1976 . 76 . Viscosity of dilute gases and vapors. 12 . 4302–4303 . 10.1073/pnas.73.12.4302 . 16592372 . 431439 . 1976PNAS...73.4302H . free .
30. Book: Dill . Ken A. . Molecular Driving Forces: Statistical Thermodynamics in Chemistry and Biology . Bromberg . Sarina . 2003 . Garland Science . 9780815320517 . 327 . en.