- Bose–Einstein statistics
In
statistical mechanics , Bose-Einstein statistics (or more colloquially B-E statistics) determines the statistical distribution of identical indistinguishableboson s over the energy states inthermal equilibrium .Concept
Bosons, unlike fermions, are not subject to the
Pauli exclusion principle : an unlimited number of particles may occupy the same state at the same time. This explains why, at low temperatures, bosons can behave very differently from fermions; all the particles will tend to congregate together at the same lowest-energy state, forming what is known as aBose–Einstein condensate .B-E statistics was introduced for
photon s in 1920 by Bose and generalized to atoms by Einstein in 1924.The expected number of particles in an energy state "i" for B-E statistics is:
:
with and where:
:"ni" is the number of particles in state "i":"gi" is the
degeneracy of state "i": "εi" is theenergy of the "i"-th state:μ is thechemical potential :"k" isBoltzmann's constant :"T" is absolutetemperature This reduces to
Maxwell–Boltzmann statistics for energies .History
In the early 1920s
Satyendra Nath Bose , a professor ofUniversity of Dhaka was intrigued by Einstein's theory of light waves being made of particles calledphotons . Bose was interested in deriving Planck's radiation formula, which Planck obtained largely by guessing. In 1900Max Planck had derived his formula by manipulating the math to fit the empirical evidence. Using the particle picture of Einstein, Bose was able to derive the radiation formula by systematically developing a statistics of massless particles without the constraint of particle number conservation. Bose derived Planck's Law of Radiation by proposing different states for the photon. Instead of statistical independence of particles, Bose put particles into cells and described statistical independence of cells ofphase space . Such systems allow twopolarization states, and exhibit totallysymmetric wavefunctions .He developed a statistical law governing the behaviour pattern of photons quite successfully. However, he was not able to publish his work; no journals in
Europe would accept his paper, being unable to understand it. Bose sent his paper to Einstein, who saw the significance of it and used his influence to get it published.A derivation of the Bose–Einstein distribution
Suppose we have a number of energy levels, labeled by index, each level having energy and containing a total of particles. Suppose each level contains distinct sublevels, all of which have the same energy, and which are distinguishable. For example, two particles may have different momenta, in which case they are distinguishable from each other, yet they can still have the same energy. The value of associated with level is called the "degeneracy" of that energy level. Any number of bosons can occupy the same sublevel.
Let be the number of ways of distributing particles among the sublevels of an energy level. There is only one way of distributing particles with one sublevel, therefore . It is easy to see thatthere are ways of distributing particles in two sublevels which we will write as:
:
With a little thought (See Notes below) it can be seen that the number of ways of distributing particles in three sublevels is
:so that
:
where we have used the following theorem involving
binomial coefficient s::
Continuing this process, we can see that is just a binomial coefficient(See Notes below)
:
The number of ways that a set of occupation numbers can be realized is the product of the ways that each individual energy level can be populated:
:
where the approximation assumes that . Following the same procedure used in deriving the
Maxwell–Boltzmann statistics , we wish to find the set of for which is maximised, subject to the constraint that there be a fixed number of particles, and a fixed energy. The maxima of and occur at the value of and, since it is easier to accomplish mathematically, we will maximise the latter function instead. We constrain our solution usingLagrange multipliers forming the function::
Using the approximation and using
Stirling's approximation for the factorials gives:
Taking the derivative with respect to ,and setting the result to zero and solving for ,yields the Bose–Einstein population numbers:
:
It can be shown thermodynamically that , where is
Boltzmann's constant and is thetemperature .It can also be shown that , where is the
chemical potential , so that finally::
Note that the above formula is sometimes written:
:
where is the absolute
activity .
=Notes=The purpose of these notes is to clarify some aspects of the derivation of the Bose-Einstein (B-E) distribution for beginners. The enumeration of cases (or ways) in the B-E distribution can be recast as follows. Consider a game of dice throwing in which there are dice, with each dice taking values in the set , for . The constraints of the game is that the value of a dice , denoted by , has to be "greater or equal" to the value of dice , denoted by , in the previous throw, i.e., . Thus a valid sequence of dice throws can be described by an -tuple , such that . Let denote the set of these valid -tuples:
:
To understand the decomposition:with the convention that:
It can then be verified that (8) and (2) give the same result for ,, , etc.
Information Retrieval
In recent years, Bose Einstein statistics have also been used as a method for term weighting in
information retrieval . The method is one of a collection of DFR ("Divergence From Randomness") models, the basic notion being that Bose Einstein statistics may be a useful indicator in cases where a particular term and a particular document have a significant relationship that would not have occurred purely by chance. Source code for implementing this model is available from the [http://ir.dcs.gla.ac.uk/terrier/doc/dfr_description.html Terrier project] at the University of Glasgow.References
Annett, James F., "Superconductivity, Superfluids and Condensates", Oxford University Press, 2004, New York.
Carter, Ashley H., "Classical and Statistical Thermodynamics", Prentice-Hall, Inc., 2001, New Jersey.
Griffiths, David J., "Introduction to Quantum Mechanics", 2nd ed. Pearson Education, Inc., 2005.
ee also
*
Maxwell-Boltzmann statistics
*Fermi-Dirac statistics
*Parastatistics
*Planck's law of black body radiation
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