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Statistical Physics: Course Outline
Statistical physics is a branch of physics that uses methods of probability theory and statistics, and particularly the mathematical tools for dealing with large populations and approximations, in solving physical problems.
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Course Outline
Introduction to statistical methods.
Elementary statistical concepts and examples.
The simple random walk problem in one dimension.
General discussion of mean values.
Calculation of mean values for the random walk problem.
probability distribution for large N,
Gaussian probability distributions.
Probability distribution for large N.
Statistical formulation of the mechanical problem.
Specification of the state of a system.
Statistical ensemble.
Basic postulates.
Probability calculations.
Behavior of the density of states.
Thermal interaction.
mechanical interaction.
General interaction.
Quasi-static process.
Quasi-static work done by pressure.
Exact and inexact differentials.
Statistical thermodynamics.
Equilibrium conditions and constraints.
Reversible and irreversible process.
Distribution of energy between systems in equilibrium.
The approach to thermal equilibrium.
Temperature,
E-Books
Beamtimes and Lifetimes
by Traweek, Sharon
Harvard University Press
ISBN: 9780674044449
Physics and the Rise of Scientific Research in Canada
by Gingras, Y.
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Publisher: McGill-Queen's University Press
ISBN: 9780773562813
Short History of Physics in the American Century
by Cassidy, David C.
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Harvard University Press
9780674062740
Masters of Theory
by Warwick, Andrew
Publisher: University of Chicago Press
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ISBN: 9780226873763
Great Physicists
by Cropper, William H.
Publisher: Oxford University Press
ISBN: 9780195350272
E-Books (Full Text)
Statistical Physics
by Sadovskii, Michael V. Efroimsky, Michael
Gamberg, Leonard
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Publisher: De Gruyter
ISBN: 9783110270372
Course Outline
Heat reservoirs.
Sharpness of the probability distribution.
Dependence of the density of states on the external parameters,
Equilibrium between interacting systems,
properties of the entropy,
Thermodynamics laws and basic statistical relations and Statistical calculation of thermodynamic quantities.
Macroscopic parameters and their measurement:
Work and internal energy,
Heat,
Absolute temperature,
Heat capacity and specific heat,
Entropy,
Consequences of the absolute definition of entropy and Extensive and intensive parameters.
Simple applications of macroscopic thermodynamics:
Equation of state and internal energy,
Specific heats,
Adiabatic expansion or compression,
Entropy,
Derivation of general relations,
Summary of Maxwell’s relations and thermodynamics functions,
Specific heats,
Entropy and internal energy,
Free expansion of a gas,
Throttling process,
Heat engines and refrigerators.
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