scholarly journals Sum rules via large deviations: extension to polynomial potentials and the multi-cut regime

2021 ◽  
pp. 109307
Author(s):  
Fabrice Gamboa ◽  
Jan Nagel ◽  
Alain Rouault
2018 ◽  
Vol 8 (4) ◽  
pp. 1551-1581 ◽  
Author(s):  
Jonathan Breuer ◽  
Barry Simon ◽  
Ofer Zeitouni

2016 ◽  
Vol 270 (2) ◽  
pp. 509-559 ◽  
Author(s):  
Fabrice Gamboa ◽  
Jan Nagel ◽  
Alain Rouault
Keyword(s):  

2011 ◽  
Vol 2011 (2) ◽  
pp. 281-307 ◽  
Author(s):  
Fabrice Gamboa ◽  
Alain Rouault

2017 ◽  
Vol 06 (01) ◽  
pp. 1750005
Author(s):  
Fabrice Gamboa ◽  
Jan Nagel ◽  
Alain Rouault

This work is a companion paper of [F. Gamboa, J. Nagel and A. Rouault, Sum rules via large deviations, J. Funct. Anal. 270 (2016) 509–559] and [F. Gamboa, J. Nagel and A. Rouault, Sum rules and large deviations for spectral matrix measures, preprint (2016), arXiv:1601.08135 ] (see also [J. Breuer, B. Simon and O. Zeitouni, Large deviations and sum rules for spectral theory — A pedagogical approach, to appear in J. Spectr. Theory, preprint (2016), arXiv:1608.01467 ]). We continue to explore the connections between large deviations for random objects issued from random matrix theory and sum rules. Here, we are concerned essentially with measures on the unit circle whose support is an arc that is possibly proper. We particularly focus on two-matrix models. The first one is the Gross–Witten (GW) ensemble. In the gapped regime, we give a probabilistic interpretation of a Simon sum rule. The second matrix model is the Hua–Pickrell (HP) ensemble. Unlike the GW ensemble the potential is here infinite at one point. Surprisingly, but as in [F. Gamboa, J. Nagel and A. Rouault, Sum rules via large deviations, J. Funct. Anal. 270 (2016) 509–559], we obtain a completely new sum rule for the deviation to the equilibrium measure of the HP ensemble. The case of spectral matrix measures is also studied. Indeed, in the case of HP ensemble, we extend our earlier works on large deviation for spectral matrix measure [F. Gamboa, J. Nagel and A. Rouault, Sum rules and large deviations for spectral matrix measures, preprint (2016), arXiv:1601.08135 ] and get here also a completely new sum rule.


Bernoulli ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 712-741 ◽  
Author(s):  
Fabrice Gamboa ◽  
Jan Nagel ◽  
Alain Rouault

2019 ◽  
Vol 10 (01) ◽  
pp. 2150008 ◽  
Author(s):  
Fabrice Gamboa ◽  
Jan Nagel ◽  
Alain Rouault

We continue to explore the connections between large deviations for objects coming from random matrix theory and sum rules. This connection was established in [Sum rules via large deviations, J. Funct. Anal. 270(2) (2016) 509–559] for spectral measures of classical ensembles (Gauss–Hermite, Laguerre, Jacobi) and it was extended to spectral matrix measures of the Hermite and Laguerre ensemble in [Sum rules and large deviations for spectral matrix measures, Bernoulli 25(1) (2018) 712–741]. In this paper, we consider the remaining case of spectral matrix measures of the Jacobi ensemble. Our main results are a large deviation principle for such measures and a sum rule for matrix measures with reference measure the Kesten–McKay law. As an important intermediate step, we derive the distribution of matricial canonical moments of the Jacobi ensemble.


1988 ◽  
Vol 102 ◽  
pp. 343-347
Author(s):  
M. Klapisch

AbstractA formal expansion of the CRM in powers of a small parameter is presented. The terms of the expansion are products of matrices. Inverses are interpreted as effects of cascades.It will be shown that this allows for the separation of the different contributions to the populations, thus providing a natural classification scheme for processes involving atoms in plasmas. Sum rules can be formulated, allowing the population of the levels, in some simple cases, to be related in a transparent way to the quantum numbers.


1972 ◽  
Author(s):  
R Kubo ◽  
M Ichimura
Keyword(s):  

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