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2005 Website

University of Queensland

3-21 July 2006

UQ St Lucia Campus, Brisbane, QLD

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Courses  

The themes available at the ICE-EM Australian Graduate School in Mathematics this year are Computation, Geometric Analysis and Mathematical Physics. Within each theme there will be two (and in one case, three) courses presented by internationally renowned researchers, who will also be available for consultations and tutorials. Each theme will comprises approximately 30 hours of lectures.

Mathematical Physics
Course: Symmetry
Lecturer: Gustav Delius
Duration: Three weeks (Monday 3 July - Friday 21 July 2006)
Content: Symmetry is at the heart of most of modern mathematical physics. The mathematical description of symmetry in terms of algebraic structures like Lie groups, Kac-Moody algebras and quantum groups has given us the tools to build physical theories with the largest degree of elegance and beauty. Amazingly, nature appears to share our sense of beauty and likes to follow the most symmetric laws.

This lecture course develops some of the algebraic tools for describing symmetry, going from the Lie groups that have been known for more than 130 years to boundary quantum groups that were discovered only a few years ago. As we go along, we will use these tools to introduce some beautifully symmetric models, including examples from string theory, soliton theories, and spin chains. Each of the topics treated is huge, but we will concentrate and streamline the presentation and make it concrete with simple examples and exercises.

Course outline: Symmetries and Conservation Laws, Lie Groups and Algebras, Root Systems, Some Representation Theory, Affine Kac-Moody Algebras, Strings on Group Manifolds, Conformal Symmetry, Some Supersymmetry, Affine Quantum Groups, Intertwiners and Yang-Baxter, Algebraic Structure of Spin Chains, Affine Toda Theories, Quantum Solitons, Boundary Quantum Groups. 
   
Course: The Importance of Being Integrable
Lecturer: Murray Batchelor
Duration: Three weeks (Monday 3 July - Friday 21 July 2006)
Content: Integrability is a deep concept which continues to have significant impact on developments in both mathematics and physics. This lecture course will give an introduction to integrability, particularly as it arises in the context of exactly solved models in statistical mechanics. The course will cover the foundations of integrable models and their relevance to quantum spin chains and systems of interacting bosons and fermions known as quantum gases. These integrable models, originally discovered in the 1960's and 70's, are of great current interest due to striking recent experiments in quantum atom-optics. 

Now it is one thing to find integrable models, but another to calculate their physical properties, which is often a formidable task. This course will introduce some mathematical techniques used for their calculation. The lectures will also introduce the new field of combinatorics related to integrable loop models. 

Course outline: Yang-Baxter Equation, Integrable Quantum Spin Chains and Their Classification, Many Guises of the Bethe Ansatz, Integrable Bosons and Fermions, Quantum Gases, Mathematical Techniques, Loop Models, Temperley-Lieb Algebra, Chord Diagrams, Tetrahedron Equation. 
   
Prerequisites for both
courses :
The mathematical physics courses will attempt to be self-contained. However, a basic knowledge of linear algebra and complex analysis will be an advantage. Students with a purely mathematical background will gain insights into current applications of mathematics, while students with more of a physics background will gain an appreciation of the essential role and importance of mathematics in the physical sciences.
 
Computation
Course: Geometric Numerical Integration
Lecturer: Robert McLachlan
Duration: Three weeks (Monday 3 July - Friday 21 July 2006)
Content: A geometric integrator is a numerical method for a differential equation that preserves some feature of the equation exactly, such as symmetries, conserved quantities, reversibility, and the symplecticity of Hamiltonian systems. This can lend the method extraordinary long-time stability and the approach is popular in molecular dynamics, celestial mechanics, and accelerator physics, where long simulations are routine. 

Course outline: Hamiltonian systems, integrals, symmetries and reversing symmetries. Construction of integrators by splitting and composition and by Runge-Kutta methods. Lie group, reversible, symmetric, and volume-preserving integrators. Implementation with variable or large time steps. Analysis of integrators by backward error analysis. Methods for PDEs vs ODEs. Open questions and research problems. 
Prerequisites: The course will cover the construction of the most popular types of integrators, their implementation, and an analysis of their performance through theory and examples. The course will be entirely self-contained so that any undergraduate mathematics degree is a sufficient prerequisite. However, undergraduate courses in numerical analysis, differential equations, Lie groups, and/or dynamical systems would be an advantage. There will be opportunities for students to perform numerical experiments in MATLAB.
   
Course: Optimization with PDEs: Theory, Numerical Methods and Applications
Lecturer: Boris Vexler
Duration: Two weeks (Monday 3 July - Friday 14 July 2006)
15 hours lectures plus discussions
Content: Optimization problems governed by partial differential equations (PDEs) arise in many science and engineering applications. In this compact course we will give a practice-oriented introduction to this field. 

The course will mainly cover the following topics:
• Motivation, Different Optimization Problems with PDEs
• Basics of Functional Analysis and Theory of PDEs
• Existence of Solutions of Optimal Control Problems
• Optimality Conditions
• Optimization Algorithms
• Discretization of Optimization Problems with PDEs
Prerequisites: Basic knowledge of functional analysis and partial differential equations.
 
Geometric Analysis
Course: Theory of Nonlinear Parabolic Differential Equations
Lecturer: Gary Lieberman
Duration: Two weeks (Monday 3 July - Friday 14 July 2006)
10 hours lectures plus discussions
Content:
The course will give an introduction to the theory of existence for solutions of nonlinear second order parabolic partial differential equations. Some of the material covered will be useful for Huisken’s course.  The emphasis will be on a priori estimates and their uses. In particular, we examine various forms of prescribed mean curvature equations. 
Prerequisites: Some knowledge of the theory of linear parabolic equations.  A few more advanced areas of the linear theory will be discussed briefly.
   
Course: The Isoperimetric Inequality, Geometric Evolution Equations and the Mass in General Relativity
Lecturer: Gerhard Huisken
Duration: 1 week (Tuesday 18 July - Friday 21 July 2006)
5 hours lectures plus discussions
Content: The course investigates the deformation of hypersurfaces by means of geometric evolution equations that are second order and parabolic together, together with applications in geometry and General Relativity.  In particular we show how mean curvature flow and inverse mean curvature flow can be used to prove isoperimetric inequalities and energy inequalities. We show that when combined appropriately, the two flows allow us to base the definition of mass in General Relativity purely on the isoperimetric inequality.
Prerequisites: Basic differential geometry of Riemannian manifolds and hypersurfaces. Basic knowledge of second order elliptic and/or parabolic PDEs - here knowledge of some of the linear theory is sufficient; if we use more advanced results, they will be clearly stated and quoted.
   
Course: Geometric Evolution Equation
Lecturer: Ben Andrews
Duration: Three weeks (Monday 3 July - Friday 21 July 2006)
Content: This course will discuss a particular kind of geometric evolution equation: 
Parabolic equations applied to deform geometric objects such as metrics, surfaces, curves, or maps. Such equations arise naturally in many contexts:  Well-known elliptic problems in geometry (such as the minimal surface equation and the harmonic map equation) have natural parabolic analogues, and frequently the parabolic approach is a useful way of exploring these elliptic problems. The parabolic flows also arise, for example, in models of phase boundaries. Finally, these equations have useful properties which make them highly applicable both in practical problems (image processing, for example) and in proving results in other areas of mathematics. They have been used to prove new results in global differential geometry, as well as isoperimetric inequalities of various kinds.  Recently they were used by Perelman in his proof of the Poincaré conjecture.

We will begin by introducing some differential geometry and summarising some of the important results in global differential geometry. Then we will introduce some of the important examples of geometric evolution equations, such as the motion of hypersurfaces by their mean curvature and the deformation of Riemannian metrics by their Ricci curvature.  We will develop techniques to understand the behaviour of these equations, and treat numerous examples of the application of flows to global differential geometry. We will aim to finish with a sketch of Perelman's proof of the Poincaré conjecture.
Prerequisites: Undergraduate analysis, preferably including some basic measure theory and functional analysis. Some knowledge of partial differential equations (the material covered in Lieberman's course will be ample).  Some differential geometry would make the going easier, though I will give a streamlined introduction to the geometry I will use in the first few lectures of the course. The material of this course will provide a good background for Huisken's lectures.
 


*Please note that the information for the courses and timetabling may be varied slightly. Any changes will be posted and highlighted.

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