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Statistical Mechanics
Rating: 4.4 out of 5(5 ratings)
94 students

Statistical Mechanics

Statistical Physics
Last updated 3/2019
English

What you'll learn

  • Student will achieve the clear basic knowledge and also knowledge of advance level of Statistical Mechanics.
  • It will be extremely helpful for exam preparation as well as for preparation in Degree level.
  • It will also make the student interested to several statistical phenomena like Entropy, Distribution Function, .
  • Partition Function, Degree of Freedom, Fermi Energy, Condensation, Gibb's Paradox, Specific Heat, Brownian Motion, Richardson and Dushmann Equation...etc

Course content

1 section30 lectures5h 24m total length
  • Introduction4:05

    Explore statistical mechanics as the bridge to thermodynamics, analyzing systems by microscopic states and macroscopic behavior, and compare classical and quantum statistics for identical and non-identical particles.

  • Basic Concept of Statistical Mechanics11:49

    Learn how macro states emerge from assemblies of micro states and quantum states, defined by macro and micro parameters, with the equal a periodic probability postulate guiding statistical equilibrium.

  • Thermodynamical Way and Mathematical Probability6:57

    Explore thermodynamic weight and mathematical probability by counting how distinguishable particles distribute among boxes, deriving the multiplicity W = N!/(N1! N2! ...), and its probabilities.

  • Concept of Phase Space4:50

    Explore how a particle's position and momentum define phase space, with phase points tracing phase trajectories. Relate this six-dimensional space to the statistical and dynamical status of a system.

  • Distribution Function in MB Statistics16:18

    Explore how the Maxwell–Boltzmann distribution arises in classical statistics by counting microstates and degeneracies for identifiable particles distributed among quantum states.

  • Statistical Interpretation of Entropy10:53

    Explore entropy as a formal statistical measure and derive the most probable distribution of distinguishable particles among quantum states using the Boltzmann form, linking to microstate counts.

  • Partition Function in Statistical Mechanics14:14

    Learn how the partition function underpins the Maxwell-Boltzmann distribution for a classical system. The lecture links density of states to particle occupancy and explains the Boltzmann factor in energy space.

  • Entropy in terms of Partition Function13:12

    Derives entropy as a function of the partition function, connecting quantum states and non-degenerate states to the most probable distribution.

  • Gibb's Paradox in Statistical Mechanics6:40

    Examines Gibbs paradox in statistical mechanics, showing entropy non-additivity when mixing identical systems and the role of the partition function in this paradox.

  • Sakur Tetrode Formula12:10

    Explain how the Sackur-Tetrode formula corrects entropy calculations for indistinguishable gas molecules, removing the paradox by adjusting the partition function and ensuring additivity for composite systems.

  • Chemical Potential in Thermodynamic Equilibrium9:10

    Explore how chemical potential governs chemical equilibrium within thermodynamic and mechanical equilibrium, showing that equal chemical potential across connected systems yields dynamic equilibrium.

  • Distribution Function in FD Statistics15:12

    The lecture derives the Fermi-Dirac distribution for indistinguishable, noninteracting particles obeying the Pauli exclusion principle, using Lagrange multipliers to fix particle number and energy.

  • Nature of FD Distribution Function7:36

    Explore the nature of the Fermi-Dirac distribution function, its formula and how energy and temperature control particle occupancy, including the zero-temperature limit and the concept of the highest occupied state.

  • Fermi Level Energy in FD Statistics6:16

    Explore the Fermi level energy in Fermi-Dirac statistics and how the density of states G determines occupation in metals, including the Fermi distribution for a two-dimensional crystalline solid.

  • Pressure of Fermi Gas Electron System2:59

    Examine how pressure in a Fermi gas electron system is derived from the particle number and electronic energy, including zero-point energy, in metals and conductors.

  • Internal Energy of Fermi Gas Electron in Conductor7:55

    Derives the internal energy of a Fermi gas of electrons in a conductor and presents the zero-point energy expression at zero kelvin.

  • Equipartition Law of Energy14:52

    In statistical mechanics, derive the equipartition law of energy for a gas and show how three degrees of freedom per molecule yield energy proportional to temperature.

  • Richardson Dusmann Equation from FD Statistics16:02

    Using Fermi-Dirac statistics, the lecture derives the Richardson-Dushman current density for thermionic emission, linking the electron emission rate to the surface work function and temperature.

  • Non Degenerate and Degenerate Fermi Gas4:46

    Explain non-degenerate and degenerate Fermi gas through quantum statistics, detailing Fermi-Dirac distribution and Maxwell-Boltzmann limits for identical particles.

  • Distribution Function in BE Statistics15:02

    explores Bose-Einstein statistics for non-interacting, indistinguishable bosons distributed among quantum states, deriving the Bose-Einstein distribution and the concept of absolute zero.

  • Planck's Black Body Radiation Formula from BE Statistics10:36

    Derive Planck's black body radiation formula using Bose-Einstein statistics for bosons in a black body, and compute the energy density from the density of states.

  • Wein's Displacement Law11:14

    Explore how a black body’s energy density peaks at a temperature-dependent wavelength, illustrating Wien’s displacement law and the Planck distribution that links lambda max to temperature.

  • Stefan Boltzmann Law of Black Body Radiation5:08

    Explore Stefan-Boltzmann law within statistical mechanics, deriving black body energy density and total energy, introducing the Stefan-Boltzmann constant and its relation to temperature.

  • Wein's and Rayleigh-Jeans Radiation Formula4:05

    Explore the blackbody radiation energy density through Wein's and Rayleigh-Jeans formulas, and derive the high- and low-frequency limits to see how Planck's law emerges.

  • Conversion of FD and BE Statistics to MB Statistics3:29

    Explore how fermi-dirac and bose-einstein statistics reduce to maxwell-boltzmann statistics in the non-degenerate, high-temperature limit, and identify the key conditions for this conversion.

  • Comparison between Boson and Fermion5:51

    Compare bosons and fermions in quantum statistics, highlighting indistinguishable, identical particles, spin characteristics, and their distinct distributions: Bose-Einstein vs. Fermi-Dirac, and the Pauli exclusion principle.

  • Einstein's Theory of Specific Heat of Solid14:53

    Examine Einstein's theory of the specific heat of solids, its high-temperature limit, low-temperature failures, and Debye's 1912 correction that explains the low-temperature behavior.

  • Dybye's Theory of Specific Heat of Solid34:57

    Explore Debye's model of specific heat in solids, treating them as a continuous elastic medium to derive the low-temperature T^3 law and high-temperature Dulong-Petit limit.

  • Einstein's Theory of Brownian Motion15:13

    Explore Einstein's Brownian motion theory, linking random particle motion in a fluid to diffusion and the diffusion equation within a mathematical framework.

  • Lagevin's Theory of Brownian Motion18:28

    Explore Langevin's theory of Brownian motion, linking random walk and damping to a stochastic equation. Trace experimental validation of Brownian motion and its diffusion description, highlighting thermal fluctuations.

Requirements

  • Be ready with Pen and Paper to take notes (when required) when you are watching video being a student of both Physics and Mathematics.

Description

My dear Students you all know in Physics Statistical Mechanics is a particular bunch of Physics. In which both Macro and Micro system are dealed in respect of the behavior of every constituent but not as a whole. That is why Statistical approach is quite different from Thermodynamic approach. In this course, both Classical and Quantum Statistics are discussed in respect of their most probable distribution, conversion and applications. Here several Thermodynamic Parameters and their characteristics are derived and discussed in Statistical way. Not only that but also the Theory of Specific Heat of solid, Planck's Black Body Radiation Theory and its consequences, Fermi energy state for Free Electron Gas inside metal, Richardson-Dushmann Equation for Thermionic Emission of Electron, Einstein's Theory of Brownian Motion with Langevin's Extension for verification of Avogadro Number along with Gibb's Paradoxical Error and its removal for Entropy Function of gaseous system etc. all are carefully and easily discussed for students realization. Student will be benefited with this high level course when developed at very easy way. I hope the student will collect this course for their easy practice and easy realization about Statistical Mechanics. For more courses you can check out my website CT Physics.

Who this course is for:

  • Student of Honours and +2 Level having Physics or Mathematics as Main Subject and also for Students preparing for Competitive Exams.