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We show that Sine$_beta$, the bulk limit of the Gaussian $beta$-ensembles is the spectrum of a self-adjoint random differential operator [ fto 2 {R_t^{-1}} left[ begin{array}{cc} 0 &-tfrac{d}{dt} tfrac{d}{dt} &0 end{array} right] f, qquad f:[0,1)to mathbb R^2, ] where $R_t$ is the positive definite matrix representation of hyperbolic Brownian motion with variance $4/beta$ in logarithmic time. The result connects the Montgomery-Dyson conjecture about the Sine$_2$ process and the non-trivial zeros of the Riemann zeta function, the Hilbert-Polya conjecture and de Branges attempt to prove the Riemann hypothesis. We identify the Brownian carousel as the Sturm-Liouville phase function of this operator. We provide similar operator representations for several other finite dimensional random ensembles and their limits: finite unitary or orthogonal ensembles, Hua-Pickrell ensembles and their limits, hard-edge $beta$-ensembles, as well as the Schrodinger point process. In this more general setting, hyperbolic Brownian motion is replaced by a random walk or Brownian motion on the affine group. Our approach provides a unified framework to study $beta$-ensembles that has so far been missing in the literature. In particular, we connect It^os classification of affine Brownian motions with the classification of limits of random matrix ensembles.
The main result of this paper is that almost every realization of the sine-process with one particle removed is a uniqueness set for the Paley-Wiener space; with two particles removed, a zero set for the Paley-Wiener space.
We provide a precise coupling of the finite circular beta ensembles and their limit process via their operator representations. We prove explicit bounds on the distance of the operators and the corresponding point processes. We also prove an estimate
We explore the boundaries of sine kernel universality for the eigenvalues of Gaussian perturbations of large deterministic Hermitian matrices. Equivalently, we study for deterministic initial data the time after which Dysons Brownian motion exhibits
We describe the non-backtracking spectrum of a stochastic block model with connection probabilities $p_{mathrm{in}}, p_{mathrm{out}} = omega(log n)/n$. In this regime we answer a question posed in DallAmico and al. (2019) regarding the existence of a
Let $T$ be a self-adjoint operator on a finite dimensional Hilbert space. It is shown that the distribution of the eigenvalues of a compression of $T$ to a subspace of a given dimension is almost the same for almost all subspaces. This is a coordinat