Renormalized energy concentration in random matrices

We define a "renormalized energy" as an explicit functional on arbitrary point configurations of constant average density in the plane and on the real line. The definition is inspired by ideas of [SS1, SS3]. Roughly speaking, it is obtained by subtracting two leading terms from the Coulomb potential on a growing number of charges. The functional is expected to be a good measure of disorder of a con figuration of points. We give certain formulas for its expectation for general stationary random point processes. For the random matrix β-sine processes on the real line (β = 1; 2; 4), and Ginibre point process and zeros of Gaussian analytic functions process in the plane, we compute the expectation explicitly. Moreover, we prove that for these processes the variance of the renormalized energy vanishes, which shows concentration near the expected value. We also prove that the β = 2 sine process minimizes the renormalized energy in the class of determinantal point processes with translation invariant correlation kernels.

Data and Resources

Additional Info

Field Value
Source https://hal.science/hal-00667652
Author Borodin, Alexei, Serfaty, Sylvia
Maintainer CCSD
Last Updated November 6, 2026, 16:18 (UTC)
Created November 6, 2026, 16:18 (UTC)
Identifier hal-00667652
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Massachusetts Institute of Technology (MIT)
creator Borodin, Alexei
date 2012-02-07T00:00:00
harvest_object_id 9117aa22-425e-400a-b55a-deec35599757
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-05-02T00:00:00
set_spec type:REPORT