Probability I: Randonm Variables and Probability Distributions 
Probability I: Randonm Variables and Probability Distributions by MIT
Video Lecture 5 of 26
Copyright Information: Mehran Kardar. 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2013. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed 4 Apr, 2016). License: Creative Commons BY-NC-SA
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Date Added: January 20, 2015

Lecture Description

Topics: General Definitions, One Random Variable, Some Important Probability Distributions

Course Index

Course Description

This is a two-semester course on statistical mechanics. Basic principles examined in this course are: The laws of thermodynamics and the concepts of temperature, work, heat, and entropy, postulates of classical statistical mechanics, microcanonical, canonical, and grand canonical distributions; applications to lattice vibrations, ideal gas, photon gas, quantum statistical mechanics; Fermi and Bose systems, interacting systems: Cluster expansions, van der Waal's gas, and mean-field theory.

Topics from modern statistical mechanics are explored in the next course in this sequence, 8.334 Statistical Mechanics II. These include: The hydrodynamic limit and classical field theories; phase transitions and broken symmetries: Universality, correlation functions, and scaling theory; the renormalization approach to collective phenomena; dynamic critical behavior; random systems.


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