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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Physics and Astronomy : Undergraduate (School of Physics and Astronomy)

Undergraduate Course: Advanced Statistical Physics (PHYS11007)

Course Outline
SchoolSchool of Physics and Astronomy CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Year 5 Undergraduate) Credits10
Home subject areaUndergraduate (School of Physics and Astronomy) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionIn this course we will discuss equilibrium phase transition, of the first and second order, by using the Ising and the Gaussian models as examples. We will first review some basic concepts in statistical physics, then study critical phenomena. Phase transitions will be analysed first via mean field theory, then via the renormalisation group (RG), in real space. We will conclude with some discussion of the dynamics of the approach to equilibrium.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites It is RECOMMENDED that students also take Statistical Physics (PHYS11024)
Prohibited Combinations Other requirements At least 80 credit points accrued in courses of SCQF Level 9 or 10 drawn from Schedule Q.
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2011/12 Semester 1, Available to all students (SV1) WebCT enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 15:00 - 15:50
King's BuildingsLecture1-11 15:00 - 15:50
King's BuildingsSeminar2-11 14:00 - 15:50
First Class First class information not currently available
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S2 (April/May)Advanced Statistical Physics2:00
Delivery period: 2011/12 Semester 1, Part-year visiting students only (VV1) WebCT enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 15:00 - 15:50
King's BuildingsLecture1-11 15:00 - 15:50
King's BuildingsTutorial1-11 14:00 - 15:50
First Class Week 1, Wednesday, 14:00 - 15:50, Zone: King's Buildings. Room 6309 - JCMB
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S1 (December)Advanced Statistical Physics (SV1)2:00
Summary of Intended Learning Outcomes
Upon successful completion of this course it is intended that a student will be able to:
1)Express expectation values in a canonical ensemble.
2)Discuss the phenomenology of first- and second-order phase transitions with particular reference to the Ising model and liquid-gas transition.
3)Understand what a critical exponent is and be able to derive scaling relations
4)Exactly solve the Ising and the Gaussian model in 1 spatial dimension
5)Calculate correlations in the Ising model
6)Understand what mean field theory is, how it can be used to analyse a phase transition
7)Discuss the validity of mean-field theory in terms of upper critical dimension and give an heuristic argument to suggest dc=4
8)Apply the RG transformation in 1 dimension (decimation) to an Ising-like system.
9)State the RG transformation and discuss the nature of its fixed points for a symmetry-breaking phase transformation
10)Study the fixed points of an RG flow and understand their physical meaning
11)Understand what the Langevin and the Fokker-Planck equations are and how they can be related.
12)Be able to compute expectations of random variables with the Langevin equation, and to solve the Langevin and Fokker-Planck equations in simple cases (1 dimension)
Assessment Information
Degree Examination, 100%
Visiting Student Variant Assessment
Degree Examination, 100%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Part 1: General methods
& Fundamental aspects of statistical physics (revision)
& Ising model in 1D: exact solutions and correlations
& Gaussian model

Part 2: Phase transitions
& Variational mean field, and mean field theory of phase transitions
& Landau theory of phase transitions
& Correlations in mean field and Landau theory

Part 3: Scaling and the renormalisation group (RG)
& Scaling laws
& Decimation amd RG in 1 and 2 dimensions
& The RG flow
& RG in momentum space

Part 4: Dynamics
& Random walk theory and the diffusion equation
& Langevin equation
& Fokker-Planck equation
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
KeywordsAdStP
Contacts
Course organiserDr Davide Marenduzzo
Tel: (0131 6)50 5283
Email: dmarendu@ph.ed.ac.uk
Course secretaryMiss Paula Wilkie
Tel: (0131) 668 8403
Email: paw@roe.ac.uk
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© Copyright 2011 The University of Edinburgh - 16 January 2012 6:41 am