“Introduction to Statistical Mechanics”- by Debasis Bhattacharyya (NCBA)

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SKU: 9789352550579
1. Macrostates, Microstates, and Probability
  • Basic Concepts: Definitions of system, assembly, macrostates, microstates, and constraints.
  • Probability Theory: Mathematical probability, permutations and combinations, and standard distribution functions.
  • Phase Space: Concept of μ-space, Γ-space, trajectories, and the division of phase space into elementary cells.
  • Fundamental Postulate: Postulate of equal a priori probability and the connection between entropy and thermodynamic probability (\(S = k \ln \Omega\)).
2. Ensemble Theory
  • Liouville’s Theorem: Phase flow and the proof of conservation of density in phase space.
  • Ensemble Classifications:
    • Microcanonical Ensemble: Fixed energy (E), volume (V), and number of particles (N).
    • Canonical Ensemble: System in a heat bath; derivation of the canonical partition function (Z) and thermodynamic links.
    • Grand Canonical Ensemble: Open systems changing energy and particle numbers; grand partition function and chemical potential.

3. Classical Statistical Mechanics (Maxwell-Boltzmann)
  • MB Distribution: Derivation of the Maxwell-Boltzmann distribution law for distinguishable particles.
  • Applications: Partition function for ideal gas, law of equipartition of energy, and specific heat calculations for monatomic gases.
  • Gibbs Paradox: The entropy of mixing and its resolution via correct Boltzmann counting.

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