Abstract. We consider Schrödinger operators on sparse graphs. The geomet-ric definition of sparseness turn out to be equivalent to a functional inequality for the Laplacian. In consequence, sparseness has in turn strong spectral and functional analytic consequences. Specifically, one consequence is that it allows to completely describe the form domain. Moreover, as another consequence it leads to a characterization for discreteness of the spectrum. In this case we determine the first order of the corresponding eigenvalue asymptotics. 1
By presenting simple theorems for the absence of positive eigenvalues for certain one-dimensional Sc...
In this paper, we investigate spectral properties of discrete Laplacians. Our study is based on the ...
This work is concerned with an asymptotical distribution of eigenvalues of sparse random matrices. I...
We consider Schrödinger operators on sparse graphs. The geometric definition of sparseness turn out ...
A construction of "sparse potentials," suggested by the authors for the lattice ℤd, d gt; 2, is exte...
A construction of "sparse potentials," suggested by the authors for the lattice ℤd, d gt; 2, is exte...
We establish quantitative upper and lower bounds for Schrödinger operators with complex potentials t...
In 1983, Klaus studied a class of potentials with bumps and computed the essential spectrum of the a...
AbstractWe apply the methods of value distribution theory to the spectral asymptotics of Schrödinger...
International audienceWe study spectral properties of a family of (Hp, x)x in X, indexed by a non-ne...
The combinatorial Laplacian is an operator that has numerous applications in physics, finance, rando...
The inverse spectral problem for Schrödinger operators on finite compact metric graphs is investigat...
AbstractIn this paper we consider the Schrödinger operator HV=−12△H+V on the hyperbolic plane H={z=(...
AbstractThe inverse spectral problem for Schrödinger operators on finite compact metric graphs is in...
Abstract. We examine the empirical distribution of the eigenvalues and the eigenvectors of adjacency...
By presenting simple theorems for the absence of positive eigenvalues for certain one-dimensional Sc...
In this paper, we investigate spectral properties of discrete Laplacians. Our study is based on the ...
This work is concerned with an asymptotical distribution of eigenvalues of sparse random matrices. I...
We consider Schrödinger operators on sparse graphs. The geometric definition of sparseness turn out ...
A construction of "sparse potentials," suggested by the authors for the lattice ℤd, d gt; 2, is exte...
A construction of "sparse potentials," suggested by the authors for the lattice ℤd, d gt; 2, is exte...
We establish quantitative upper and lower bounds for Schrödinger operators with complex potentials t...
In 1983, Klaus studied a class of potentials with bumps and computed the essential spectrum of the a...
AbstractWe apply the methods of value distribution theory to the spectral asymptotics of Schrödinger...
International audienceWe study spectral properties of a family of (Hp, x)x in X, indexed by a non-ne...
The combinatorial Laplacian is an operator that has numerous applications in physics, finance, rando...
The inverse spectral problem for Schrödinger operators on finite compact metric graphs is investigat...
AbstractIn this paper we consider the Schrödinger operator HV=−12△H+V on the hyperbolic plane H={z=(...
AbstractThe inverse spectral problem for Schrödinger operators on finite compact metric graphs is in...
Abstract. We examine the empirical distribution of the eigenvalues and the eigenvectors of adjacency...
By presenting simple theorems for the absence of positive eigenvalues for certain one-dimensional Sc...
In this paper, we investigate spectral properties of discrete Laplacians. Our study is based on the ...
This work is concerned with an asymptotical distribution of eigenvalues of sparse random matrices. I...