Boltzmann Statistics

Boltzmann statistics

To describe a system consisting of a large number of particles in a physically useful manner, recourse must be had to so-called statistical procedures. If the mechanical laws operating in the system are those of classical mechanics, and if the system is sufficiently dilute, the resulting statistical treatment is referred to as Boltzmann or classical statistics. (Dilute in this instance means that the total volume available is much larger than the proper volume of the particles.) A gas is a typical example: The molecules interacting according to the laws of classical mechanics are the constituents of the system, and the pressure, temperature, and other parameters are the overall entites which determine the macroscopic behavior of the gas. In a case of this kind it is neither possible nor desirable to solve the complicated equations of motion of the molecules; one is not interested in the position and velocity of every molecule at any time. The purpose of the statistical description is to extract from the mechanical description just those features relevant for the determination of the macroscopic properties and to omit others.

The basic notion in the statistical description is that of a distribution function. Suppose a system of N molecules is contained in a volume V. The molecules are moving around, colliding with the walls and with each other. Construct the following geometrical representation of the mechanical system. Introduce a six-dimensional space (usually called the μ space), three of its coordinate axes being the spatial coordinates of the vessel x, y, z, and the other three indicating cartesian velocity components v_x, v_y, v_z. A molecule at a given time, having a specified position and velocity, may be represented by a point in this six-dimensional space. The state of the gas, a system of N molecules, may be represented by a cloud of N points in this space. In the course of time, this cloud of N points moves through the μ space.

Note that the μ space is actually finite; the coordinates x, y, z of the molecules' position are bounded by the finite size of the container, and the velocities are bounded by the total energy of the system. Imagine now that the space is divided into a large number of small cells, of sizes w₁,…, w_i,…. A certain specification of the state of the gas is obtained if, at a given time t, the numbers n₁(t),…, n_i(t),… of molecules in the cells 1,…, i, … are given. To apply statistical methods, one must choose the cells such that on the one hand a cell size w is small compared to the macroscopic dimensions of the system, while on the other hand w must be large enough to allow a large number of molecules in one cell. If the cells are thus chosen, the numbers n_i(t), the occupation numbers, will be slowly changing functions of time. The distribution functions f_i(t) are defined by Eq. (1). (1) 

The distribution function f_i describes the state of the gas, and f_i of course varies from cell to cell. Since a cell i is characterized by a given velocity range and position range, and since for appropriately chosen cells f should vary smoothly from cell to cell, f is often considered as a continuous function of the variables x, y, z, vx, vy, vz. The cell size w then can be written as dxdydzdv_xdv_ydv_z.

Since a cell i determines both a position and a velocity range, one may associate an energy ε_i with a cell. This is the energy a single molecule possesses when it has a representative point in cell i. This assumes that, apart from instantaneous collisions, molecules exert no forces on each other. If this were not the case, the energy of a molecule would be determined by the positions of all other molecules.

Most of the physically interesting quantities follow from a knowledge of the distribution function; the main problem in Boltzmann statistics is to find out what this function is. It is clear that n_i(t) changes in the course of time for three reasons: (1) Molecules located at the position of cell i change their positions and hence move out of cell i; (2) molecules under the influence of outside forces change their velocities and again leave the cell i; and (3) collisions between the molecules will generally cause a (discontinuous) change of the occupation numbers of the cells. Whereas the effect of (1) and (2) on the distribution function follows directly from the mechanics of the system, a separate assumption is needed to obtain the effect of collisions on the distribution function. This assumption, the collision-number assumption, asserts that the number of collisions per unit time, of type (i, j) → (k, l) [molecules from cells i and j collide to produce molecules of different velocities which belong to cells k and l], called A_ij^kl, is given by Eq. (2). (2)  Here a_ij^kl depends on the collision configuration and on the size and kind of the molecules but not on the occupation numbers. Gains and losses of the molecules in, say, cell i can now be observed. If the three factors causing gains and losses are combined, the Boltzmann transport equation, written as Eq. (3), (3)  is obtained. Here Δ_xf_i is the gradient of f with respect to the positions, refers similarly to the velocities, and X _i is the outside force per unit mass at cell i. This nonlinear equation determines the temporal evolution of the distribution function. Exact solutions are difficult to obtain. Yet Eq. (3) forms the basis for the kinetic discussion of most transport processes. There is one remarkable general consequence, which follows from Eq. (3). If one defines H(t) as in Eq. (4), one finds by straight manipulation from Eqs. (3) and (4) (4)  (5)  that Eqs. (5) hold. Hence H is a function which in the course of time always decreases. This result is known as the H theorem. The special distribution which is characterized by Eq. (6) (6)  has the property that collisions do not change the distribution in the course of time; it is an equilibrium or stationary distribution.

The form of the equilibrium distribution may be determined from Eq. (6), with the help of conservation laws. For a gas which as a whole is at rest, it may be shown that the only solution to functional Eq. (6) is given by Eqs. (7a) or (7b). Here A (7a)  (7b)  and ß are parameters, not determined by Eq. (6), and U is the potential energy at the point x, y, z. Equations (7a) and (7b) are the Maxwell-Boltzmann distribution. Actually A and ß can be determined from the fact that the number of particles and the energy of the system are specified.

The indiscriminate use of the collision-number assumption leads, via the H theorem, to paradoxical results. The basic conflict stems from the irreversible results that appear to emerge as a consequence of a large number of reversible fundamental processes. A careful treatment of the explicit and hidden probability assumptions is the key to the understanding of the apparent conflict. The equilibrium distribution may be thought of as the most probable state of a system. If a system is not in equilibrium, it will most likely (but not certainly) go there; if it is in equilibrium, it will most likely (but not certainly) stay there. By using such probability statements, it may be shown that the paradoxes and conflicts may indeed be removed. A consequence of the probabilistic character of statistics is that the entities computed also possess this characteristic. For example, one cannot really speak definitively of the number of molecules hitting a section of the wall per second, but only about the probability that a given number will hit the wall, or about the average number hitting. In the same vein, the amount of momentum transferred to a unit area of the wall by the molecules per second (this, in fact, is precisely the pressure) is also to be understood as an average. This in particular means that the pressure is a fluctuating entity. The fluctuations in pressure may be demonstrated by observing the motion of a mirror, suspended by a fiber, in a gas. On the average, as many gas molecules will hit the back as the front of the mirror, so that the average displacement will indeed be zero. However, it is easy to imagine a situation where more momentum is transferred in one direction than in another, resulting in a deflection of the mirror. From the knowledge of the distribution function the probabilities for such occurrences may indeed be computed; the calculated and observed behavior agree very well. This clearly demonstrates the essentially statistical character of the pressure. See Boltzmann transport equation, Brownian movement, Kinetic theory of matter, Quantum statistics, Statistical mechanics

Boltzmann Statistics

Boltzmann statistics