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2005 Website
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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
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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. |
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Course: |
The Importance of Being Integrable |
Lecturer: |
Murray Batchelor
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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.
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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. |
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Computation
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Course: |
Geometric Numerical Integration
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Lecturer: |
Robert McLachlan
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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.
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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. |
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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
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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
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Prerequisites: |
Basic knowledge of functional analysis and
partial differential equations. |
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Geometric Analysis
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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. |
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Course: |
The Isoperimetric Inequality, Geometric
Evolution Equations and the Mass in General Relativity |
Lecturer: |
Gerhard Huisken
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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.
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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. |
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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.
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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. |
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*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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