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James Lee - Scaling exponents in stationary random graphs - IPAM at UCLA

Recorded 07 May 2024. James Lee of the University of Washington presents "Scaling exponents in stationary random graphs" at IPAM's Statistical Mechanics Beyond 2D Workshop.
Abstract: Stationary random graphs provide a rich family of random geometries for studying conjectured relationships between scaling exponents that arise in the statistical physics literature. Here we examine the relationships between the fractal dimension, the walk dimension, the resistance exponent, the spectral dimension, and the extremal growth exponent.
In the recurrent regime, we show that the "Einstein relations" hold in generality, so that the density and conductivity of a stationary random graph determine the rate of escape of the random walk and the spectral dimension. Furthermore, under a weak form of spectral concentration, the spectral dimension coincides with the extremal volume growth exponent (this is the minimal exponent of volume growth under stationary changes of the graph metric).
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/workshop-iii-statistical-mechanics-beyond-2d/

Видео James Lee - Scaling exponents in stationary random graphs - IPAM at UCLA канала Institute for Pure & Applied Mathematics (IPAM)
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8 мая 2024 г. 1:57:35
00:54:37
Institute for Pure & Applied Mathematics (IPAM)
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