Physics 335     Thermal Physics     Spring (12) 2007

 

 

Instructor: Mark Taylor       Office: Gerstacker 118

Phone: 569-5241

email:   taylormp

 

Office Hours: MWF 4:15-6:00, T 1:00-4:00, Th 9:00-12:00, 2:00-4:00, Sun. 3:00-6:00

Physics Study Session: Thurs. evenings 6:00-9:00 in Gerstacker 123

 

Meeting Times: MWF 9:30-11:50; Gerstacker 10

 

Textbook: "Thermal Physics" by Ralph Baierlein

 

 

Course Overview: Thermal or statistical physics provides the link between the microscopic world of atoms and molecules and the macroscopic world of everyday objects.  This subject tackles such foundational issues as 1) the origin of irreversible processes from the time symmetric fundamental laws of physics and 2) the emergence of simple thermodynamic behavior in systems comprised of a large number of particles governed by an underlying chaotic dynamics.  We will address these issues by examining the microscopic origins of the laws of thermodynamics.  Since macroscopic systems are composed of an enormous number of particles, an exact description of each individual particle is impractical (if not impossible).  Thus, we make use of probabilistic or statistical methods.  While such an approach may appear to be approximate, in fact, statistical mechanics is a rigorous and exact theory of macroscopic matter.  This course will cover the fundamentals of thermodynamics, statistical mechanics, and elementary transport theory.  Since computer simulations play an important role in contemporary statistical mechanics research, we will also study the Monte Carlo method and everyone will carry out a computational project to investigate a magnetic, liquid, polymer, or other many-body system.

 

 

Links to pdf files:

 

Course Information Sheet         Syllabus          Monte_Carlo_Projects

 

 

Problem Set 01         Problem Set 07

 

Problem Set 02         Problem Set 08

 

Problem Set 03         Problem Set 09

 

Problem Set 04         Problem Set 10

 

Problem Set 05         Problem Set 11

 

Problem Set 06

 

 

 

MatLab Code:                                                       Handouts:

 

binfill4.m                                Ideal_Gas_Thermo

 

modulo_rng.m                         Transfer_Matrix

 

ising1.m                                  Transport_Coefficients

 

ising2.m