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This course is an introduction to mathematical theory of random Schrödinger operators. These operators model an electron in a disordered solid. The goal is to understand the spectral and transport properties of these operators. A key concept is localization. An electron can move freely through a crystal where the atoms are arranged periodically, but in a disordered solid, where the atomic charges are distributed randomly, the electron can become trapped. This phenomenon was first explained by the physicist P.W. Anderson in 1958 and is now called Anderson localization. It took 20 years for the first mathematical proofs to appear. Today, there are two available methods for proving localization in all dimensions: the fractional moment method and multi-scale analysis. One dimension is special, and there are many additional tools available. This course will concentrate on the fractional moment method and a selection of one dimensional results. If time permits we will look at multi-scale analysis at the end of the course. |
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Instructor, Time and Location
Instructor: Richard Froese Email: rfroese-at-math-dot-ubc-dot-ca Office: Math Annex 1106 Hours: By appointment Phone: 822-3042 Time: Tuesday and Thursday 2:00-3:20 Location: MATH 204 This page http://www.math.ubc.ca/~rfroese/math609 will be updated throughout the term. |
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Course Information
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Problem sets
I will distribute problem sets periodically throughout the term. Your grade in the course will be based on these. |
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Prerequisites
Math 511 or 512 would be an asset, but the course will be accessible to students with a basic knowledge of Hilbert spaces (up to the spectral theorem for self-adjoint operators) and elementary probability. I will spend some time at the beginning reviewing some needed background in the spectral and scattering theory of Schrödinger operators. |
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Resources
Books:
Review articles and lecture notes on random Schrödinger operators:
General references for Schrödinger operators
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Outline
1. Introduction to Random Schrödinger Operators
2. Localization via the fractional moment method
3. One dimension
4. Multiscale analysis
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