University of Cambridge > Talks.cam > Probability > Analysis of a stochastic branching recursion related to the Anderson transition

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Analysis of a stochastic branching recursion related to the Anderson transition

Download to your calendar using vCal

If you have a question about this talk, please contact John Shimmon .

One way to describe the Anderson transition is that eigenvectors of a large random Hermitian matrix undergo a transition from extended (macroscopic number on non-zero entries) to localized (only finitely many non-zero entries) as one “strengthens the randomness” in the matrix. Physicists believe that precisely at the transition point, the eigenvectors should exhibit multi-fractal behaviour (anomalous scaling). We will consider a specific random matrix model and study its multifractal behaviour through a heuristic approximation resulting in a stochastic branching recursion similar to those appearing in the study of multiplicative cascades.

This talk is part of the Probability series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Room 9, Faculty of Asian & Middle Eastern Studies Room W4.03 Judge Business School John Bradfield Room at Darwin College and via Zoom

Other talks

Decoding genomic chaos - a pancancer compendium of chromosomal instability Overview of treatment for non-small cell lung cancer Complete and Submit Project Choice Forms Afternoon Break TBC Topology of the Ritz energy landscape
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity