In the random matrix theory, the 1-level correlation functions Rn??1(x) (?? is generally called Dyson's index) can be explained as the distribution density of energy levels which can be found nearby x. As yet, its limit behavior is still remarkably noticed by many mathematicians and physicists. In the case of unitary ensemble (i.e. ?? = 2), the 1-level correlation functions Rn2(x) is closely related to the weight function ??(x) in the classical orthogonal polynomial theory. For the simplication of statement, only the Gaussian unitary ensemble case is considered. The authors find that in weak sense, the limit behavior of Rn21(x) is not disturbed by appending a 'good' nontrivial multiplicative factor to ??(x).EI05671-6784
Our interest is in the scaled joint distribution associated with $k$-increasing subsequence...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Our interest is in the scaled joint distribution associated with $k$-increasing subsequence...
Abstract. We present a random matrix ensemble where real, positive semi-definite matrix ele-ments, x...
Abstract. Correlation functions involving products and ratios of half-integer powers of characterist...
Götze F, Gordin M. Limit correlation functions for fixed trace random matrix ensembles. COMMUNICATIO...
We describe a new universality class for unitary invariant random matrix ensembles. It arises in the...
The value of spectral form factor at the origin, called level compressibility, is an important chara...
Orthogonal polynomials satisfy a three-term recursion relation irrespective of the weight function w...
Version 2: denotations of (4.2) and other misprints corrected; minor changes at the end of Section 3...
Version 2: denotations of (4.2) and other misprints corrected; minor changes at the end of Section 3...
In a recent work the present authors have shown that the eigenvalue probability density function for...
Abstract. Muttalib–Borodin ensembles are characterised by the pair inter-action term in the eigenval...
Abstract. Universal limits for the eigenvalue correlation func-tions in the bulk of the spectrum are...
Covariances and variances of linear statistics of a point process can be written as integrals over t...
Our interest is in the scaled joint distribution associated with $k$-increasing subsequence...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Our interest is in the scaled joint distribution associated with $k$-increasing subsequence...
Abstract. We present a random matrix ensemble where real, positive semi-definite matrix ele-ments, x...
Abstract. Correlation functions involving products and ratios of half-integer powers of characterist...
Götze F, Gordin M. Limit correlation functions for fixed trace random matrix ensembles. COMMUNICATIO...
We describe a new universality class for unitary invariant random matrix ensembles. It arises in the...
The value of spectral form factor at the origin, called level compressibility, is an important chara...
Orthogonal polynomials satisfy a three-term recursion relation irrespective of the weight function w...
Version 2: denotations of (4.2) and other misprints corrected; minor changes at the end of Section 3...
Version 2: denotations of (4.2) and other misprints corrected; minor changes at the end of Section 3...
In a recent work the present authors have shown that the eigenvalue probability density function for...
Abstract. Muttalib–Borodin ensembles are characterised by the pair inter-action term in the eigenval...
Abstract. Universal limits for the eigenvalue correlation func-tions in the bulk of the spectrum are...
Covariances and variances of linear statistics of a point process can be written as integrals over t...
Our interest is in the scaled joint distribution associated with $k$-increasing subsequence...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Our interest is in the scaled joint distribution associated with $k$-increasing subsequence...