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Derivation of some new distributions in statistical mechanics using maximum entropy approach

Ray Amritansu (Department of Mathematics, Rajyadharpur Deshbandhu Vidyapith, Serampore, Hooghly, West Bengal, India)
Majumder S.K. (Department of Mathematics, Bengal Engineering and Science University (BESU), Shibpur, Howrah, West Bengal, India)

The maximum entropy principle has been earlier used to derive the Bose Einstein(B.E.), Fermi Dirac(F.D.) & Intermediate Statistics(I.S.) distribution of statistical mechanics. The central idea of these distributions is to predict the distribution of the microstates, which are the particle of the system, on the basis of the knowledge of some macroscopic data. The latter information is specified in the form of some simple moment constraints. One distribution differs from the other in the way in which the constraints are specified. In the present paper, we have derived some new distributions similar to B.E., F.D. distributions of statistical mechanics by using maximum entropy principle. Some proofs of B.E. & F.D. distributions are shown, and at the end some new results are discussed.

Keywords: Bose-Einstein (B.E.) distribution, Fermi-Dirac (F.D.) distribution, Lagrange’s multiplier, Shannons’ measure, Jaynes principle