The Hidden Landscape of Localization - Kirk Lecture
Offered By: Isaac Newton Institute for Mathematical Sciences via YouTube
Course Description
Overview
Explore the intricacies of localization in complex systems through this illuminating lecture. Delve into the concept of the landscape function, a powerful tool that predicts the behavior of localized eigenfunctions in disordered systems. Discover how this hidden structure provides insights into the location, shape, and exponential decay patterns of eigenfunctions, while offering accurate eigenvalue bounds where traditional methods fall short. Examine the universal relevance of this approach for elliptic operators and its specific applications to the Schrödinger operator with random potential and the Poisson-Schrödinger drift-diffusion system in semiconductor alloys. Gain a deeper understanding of wave confinement phenomena caused by geometric complexity and potential randomness in various irregular systems.
Syllabus
Date: 12 June 2019 - 16:00 to
Taught by
Isaac Newton Institute for Mathematical Sciences
Related Courses
Developing International Software: Part 2Microsoft via edX Introduction to Commutative Algebra
Indian Institute of Technology Madras via Swayam Localization Essentials
Google via Udacity Self-Driving Fundamentals: Featuring Apollo
Baidu via Udacity Advanced IOT Applications
Indian Institute of Science Bangalore via Swayam