Large Deviations Principle for Some Beta Ensembles

نویسندگان

  • TIEN - CUONG DINH
  • VIÊT - ANH NGUYÊN
چکیده

Let L be a positive line bundle over a projective complex manifold X , L its tensor power of order p, H(X,L) the space of holomorphic sections of L and Np the complex dimension of H(X,L). The determinant of a basis ofH(X,L), together with some given probability measure on a weighted compact set in X , induces naturally a βensemble, i.e., a random Np-point process on the compact set. Physically, this general setting corresponds to a gas of free fermions on X and may admit some random matrix models. The empirical measures, associated with such β-ensembles, converge almost surely to an equilibrium measure when p goes to infinity. We establish a large deviations principle (LDP) with an effective speed of convergence for these empirical measures. Our study covers the case of some β-ensembles on a compact subset of the unit sphere S ⊂ R or of the Euclidean space R. Classification AMS 2010: 32U15 (32L05, 60F10).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Large Deviations in the Geometry of Convex Lattice Polygons

We provide a full large deviation principle (LDP) for the uniform measure on certain ensembles of convex lattice polygons. This LDP provides for the analysis of concentration of the measure on convex closed curves. In particular, convergence to a limiting shape results in some particular cases, including convergence to a circle when the ensemble is deened as those centered convex polygons, with...

متن کامل

Asymptotic behavior of random determinants in the Laguerre, Gram and Jacobi ensembles

We consider properties of determinants of some random symmetric matrices issued from multivariate statistics: Wishart/Laguerre ensemble (sample covariance matrices), Uniform Gram ensemble (sample correlation matrices) and Jacobi ensemble (MANOVA). If n is the size of the sample, r ≤ n the number of variates and Xn,r such a matrix, a generalization of the Bartlett-type theorems gives a decomposi...

متن کامل

Extreme value statistics of eigenvalues of Gaussian random matrices.

We compute exact asymptotic results for the probability of the occurrence of large deviations of the largest (smallest) eigenvalue of random matrices belonging to the Gaussian orthogonal, unitary, and symplectic ensembles. In particular, we show that the probability that all the eigenvalues of an (NxN) random matrix are positive (negative) decreases for large N as approximately exp [-beta theta...

متن کامل

Talagrand Inequality for the Semicircular Law and Energy of the Eigenvalues of Beta Ensembles

Abstract We give a short proof of the free analogue of the Talagrand inequality for the transportation cost to the semicircular which was originally proved in [1]. The proof is based on a convexity argument and is in the spirit of the original Talagrand’s proof from [8]. We also discuss the convergence, fluctuations and large deviations of the energy of the eigenvalues of β ensembles, which giv...

متن کامل

Small deviations for beta ensembles

We establish various small deviation inequalities for the extremal (soft edge) eigenvalues in the β-Hermite and β-Laguerre ensembles. In both settings, upper bounds on the variance of the largest eigenvalue of the anticipated order follow immediately.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016